Question 58CORRECTWhen making a visit to the home of a postpartum woman one week afterbirth, the nurse should recognize that the woman would characteristically: Show
Get answer to your question and much more Question 59WRONGFour hours after a difficult labor and birth, a primiparous woman refuses tofeed her baby, stating that she is too tired and just wants to sleep. The nurseshould:Question 59 Explanation:Response 1 does not take into consideration the need for the newmother to be nurtured and have her needs met during the taking-instage. The behavior described is typical of this stage and not areflection of ineffective attachment unless the behavior persists.Mothers need to reestablish their own well-being in order to effectivelycare for their baby. Get answer to your question and much more Question 60WRONGParents can facilitate the adjustment of their other children to a new baby by:
Meta-Analysis . 2018 Dec 19;12(12):CD011689. doi: 10.1002/14651858.CD011689.pub3. Argyro Papadopoulou, Rebecca Man, Nikolaos Athanasopoulos, Aurelio Tobias, Malcolm J Price, Myfanwy J Williams, Virginia Diaz, Julia Pasquale, Monica Chamillard, Mariana Widmer, Özge Tunçalp, G Justus Hofmeyr, Fernando Althabe, Ahmet Metin Gülmezoglu, Joshua P Vogel, Olufemi T Oladapo, Arri Coomarasamy Affiliations
Free PMC article Meta-Analysis Uterotonic agents for preventing postpartum haemorrhage: a network meta-analysisIoannis D Gallos et al. Cochrane Database Syst Rev. 2018. Free PMC article AbstractBackground: Postpartum haemorrhage (PPH) is the leading cause of maternal mortality worldwide. Prophylactic uterotonic agents can prevent PPH, and are routinely recommended. The current World Health Organization (WHO) recommendation for preventing PPH is 10 IU (international units) of intramuscular or intravenous oxytocin. There are several uterotonic agents for preventing PPH but there is still uncertainty about which agent is most effective with the least side effects. This is an update of a Cochrane Review which was first published in April 2018 and was updated to incorporate results from a recent large WHO trial. Objectives: To identify the most effective uterotonic agent(s) to prevent PPH with the least side effects, and generate a ranking according to their effectiveness and side-effect profile. Search methods: We searched the Cochrane Pregnancy and Childbirth's Trials Register, ClinicalTrials.gov, the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (24 May 2018), and reference lists of retrieved studies. Selection criteria: All randomised controlled trials or cluster-randomised trials comparing the effectiveness and side effects of uterotonic agents with other uterotonic agents, placebo or no treatment for preventing PPH were eligible for inclusion. Quasi-randomised trials were excluded. Randomised trials published only as abstracts were eligible if sufficient information could be retrieved. Data collection and analysis: At least three review authors independently assessed trials for inclusion and risk of bias, extracted data and checked them for accuracy. We estimated the relative effects and rankings for preventing PPH ≥ 500 mL and PPH ≥ 1000 mL as primary outcomes. Secondary outcomes included blood loss and related outcomes, morbidity outcomes, maternal well-being and satisfaction and side effects. Primary outcomes were also reported for pre-specified subgroups, stratifying by mode of birth, prior risk of PPH, healthcare setting, dosage, regimen and route of administration. We performed pairwise meta-analyses and network meta-analysis to determine the relative effects and rankings of all available agents. Main results: The network meta-analysis included 196 trials (135,559 women) involving seven uterotonic agents and placebo or no treatment, conducted across 53 countries (including high-, middle- and low-income countries). Most trials were performed in a hospital setting (187/196, 95.4%) with women undergoing a vaginal birth (71.5%, 140/196).Relative effects from the network meta-analysis suggested that all agents were effective for preventing PPH ≥ 500 mL when compared with placebo or no treatment. The three highest ranked uterotonic agents for prevention of PPH ≥ 500 mL were ergometrine plus oxytocin combination, misoprostol plus oxytocin combination and carbetocin. There is evidence that ergometrine plus oxytocin (RR 0.70, 95% CI 0.59 to 0.84, moderate certainty), carbetocin (RR 0.72, 95% CI 0.56 to 0.93, moderate certainty) and misoprostol plus oxytocin (RR 0.70, 95% CI 0.58 to 0.86, low certainty) may reduce PPH ≥ 500 mL compared with oxytocin. Low-certainty evidence suggests that misoprostol, injectable prostaglandins, and ergometrine may make little or no difference to this outcome compared with oxytocin.All agents except ergometrine and injectable prostaglandins were effective for preventing PPH ≥ 1000 mL when compared with placebo or no treatment. High-certainty evidence suggests that ergometrine plus oxytocin (RR 0.83, 95% CI 0.66 to 1.03) and misoprostol plus oxytocin (RR 0.88, 95% CI 0.70 to 1.11) make little or no difference in the outcome of PPH ≥ 1000 mL compared with oxytocin. Low-certainty evidence suggests that ergometrine may make little or no difference to this outcome compared with oxytocin meanwhile the evidence on carbetocin was of very low certainty. High-certainty evidence suggests that misoprostol is less effective in preventing PPH ≥ 1000 mL when compared with oxytocin (RR 1.19, 95% CI 1.01 to 1.42). Despite the comparable relative treatment effects between all uterotonics (except misoprostol) and oxytocin, ergometrine plus oxytocin, misoprostol plus oxytocin combinations and carbetocin were the highest ranked agents for PPH ≥ 1000 mL.Misoprostol plus oxytocin reduces the use of additional uterotonics (RR 0.56, 95% CI 0.42 to 0.73, high certainty) and probably also reduces the risk of blood transfusion (RR 0.51, 95% CI 0.37 to 0.70, moderate certainty) when compared with oxytocin. Carbetocin, injectable prostaglandins and ergometrine plus oxytocin may also reduce the use of additional uterotonics but the certainty of the evidence is low. No meaningful differences could be detected between all agents for maternal deaths or severe morbidity as these outcomes were rare in the included randomised trials where they were reported.The two combination regimens were associated with important side effects. When compared with oxytocin, misoprostol plus oxytocin combination increases the likelihood of vomiting (RR 2.11, 95% CI 1.39 to 3.18, high certainty) and fever (RR 3.14, 95% CI 2.20 to 4.49, moderate certainty). Ergometrine plus oxytocin increases the likelihood of vomiting (RR 2.93, 95% CI 2.08 to 4.13, moderate certainty) and may make little or no difference to the risk of hypertension, however absolute effects varied considerably and the certainty of the evidence was low for this outcome.Subgroup analyses did not reveal important subgroup differences by mode of birth (caesarean versus vaginal birth), setting (hospital versus community), risk of PPH (high versus low risk for PPH), dose of misoprostol (≥ 600 mcg versus < 600 mcg) and regimen of oxytocin (bolus versus bolus plus infusion versus infusion only). Authors' conclusions: All agents were generally effective for preventing PPH when compared with placebo or no treatment. Ergometrine plus oxytocin combination, carbetocin, and misoprostol plus oxytocin combination may have some additional desirable effects compared with the current standard oxytocin. The two combination regimens, however, are associated with significant side effects. Carbetocin may be more effective than oxytocin for some outcomes without an increase in side effects. Conflict of interest statementIoannis D Gallos (IDG): is a co‐applicant to the UK National Institute for Health Research HTA Project Award 14/139/17 entitled Uterotonic agents for preventing postpartum haemorrhage: a network meta‐analysis and cost‐effectiveness analysis. He has been involved in one or more previous or ongoing trials related to the use of uterotonics for the prevention of PPH that were eligible for inclusion in this review. Ferring Pharmaceuticals and Novartis supplied carbetocin and oxytocin for these studies. IDG did not participate in any decisions regarding these trials (i.e. assessment for inclusion/exclusion, trial quality, data extraction) for the purposes of this review (and will not for future updates) – these tasks were carried out by other members of the team who were not directly involved in the trials. Argyro Papadopoulou (AP): none known. Rebecca Man (RM): none known. Nikolaos Athanasopoulos (NA): none known. Malcolm J Price (MJP): is a co‐applicant to the UK National Institute for Health Research HTA Project Award 14/139/17 entitled Uterotonic agents for preventing postpartum haemorrhage: a network meta‐analysis and cost‐effectiveness analysis. Aurelio Tobias: none known. Myfanwy Williams (MJW): is employed by the University of Liverpool as a Research Associate at Cochrane Pregnancy and Childbirth. Her role is supported by the World Health Organization. Virginia Diaz (VD): none known. Julia Pasquale (JP): none known. Monica Chamillard (MC): none known. Mariana Widmer (MW): has been involved in a trial related to the use of uterotonics for the prevention of PPH that is included in this review. Ferring Pharmaceuticals and Novartis supplied carbetocin and oxytocin for the trial and the study is supported by WHO/Merck for Mothers. MW did not participate in any decisions regarding this trial (i.e. assessment for inclusion/exclusion, trial quality, data extraction) for the purposes of this review or future updates – these tasks were carried out by other members of the team who were not directly involved in the trial. Özge Tunçalp (OT): is a co‐applicant to the UK National Institute for Health Research HTA Project Award 14/139/17 entitled Uterotonic agents for preventing postpartum haemorrhage: a network meta‐analysis and cost‐effectiveness analysis. G Justus Hofmeyr (GJH): has been and continues to be involved in a number of studies that may be eligible for inclusion in this review, but has not been (and will not participate in) data extraction or quality assessment of the studies in which he was involved. GJH is a co‐investigator on the UK National Institute for Health Research HTA Project Award 14/139/17 entitled Uterotonic agents for preventing postpartum haemorrhage: a network meta‐analysis and cost‐effectiveness analysis. Neither he nor his institution receives funding from this grant. Fernando Althabe: none known. A Metin Gulmezoglu (AMG): was part of the central coordination unit of the large World Health Organization multicentre trial comparing carbetocin with oxytocin included in the review. He is a co‐applicant to the UK National Institute for Health Research HTA Project Award 14/139/17 entitled Uterotonic drugs for preventing postpartum haemorrhage: a network meta‐analysis and cost‐effectiveness analysis. Joshua Vogel (JPV): led the updating of WHO recommendations on uterotonics for the prevention of postpartum haemorrhage based on this review. Olufemi T Oladapo (OTO): led the updating of WHO recommendations on uterotonics for the prevention of postpartum haemorrhage based on the findings of this review update. Arri Coomarasamy (AC): is the Chief Investigator of UK National Institute for Health Research HTA Project Award 14/139/17 entitled Uterotonic agents for preventing postpartum haemorrhage: a network meta‐analysis and cost‐effectiveness analysis. He has been involved in one or more previous or ongoing trials related to the use of uterotonics for the prevention of PPH that were eligible for inclusion in this review. Ferring Pharmaceuticals and Novartis supplied carbetocin and oxytocin for these studies and another study is supported by WHO/Merck for Mothers. AC did not participate in any decisions regarding these trials (i.e. assessment for inclusion/exclusion, trial quality, data extraction) for the purposes of this review or future updates – these tasks have been carried out by other members of the team who were not directly involved in the trials. AC is a member of the Executive Board of Ammalife (UK registered charity 1120236). He does not receive any payment for this relationship. Figures1 Study flow diagram. 2'Risk of bias' graph: review authors' judgements about each risk of bias item presented as percentages across all included studies. 3'Risk of bias' summary: review authors' judgements about each risk of bias item for each included study. 4Network Diagram for PPH ≥ 500 mL. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 5Cumulative rankograms comparing each of the uterotonic agents for diarrhoea. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 6Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for prevention of PPH ≥ 500 mL. 7Cumulative rankograms comparing each of the uterotonic agents for prevention of PPH ≥ 500 mL. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 8Network Diagram for PPH ≥ 1000 mL. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 9Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for prevention of PPH ≥ 1000 mL. 10Cumulative rankograms comparing each of the uterotonic agents for prevention of PPH ≥ 1000 mL. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 11Network Diagram for maternal death. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 12Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for prevention of maternal death. 13Cumulative rankograms comparing each of the uterotonic agents for prevention of maternal death. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 14Network Diagram for severe maternal morbidity: intensive care admissions. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 15Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for prevention of severe maternal morbidity: intensive care admissions. 16Cumulative rankograms comparing each of the uterotonic agents for prevention of severe maternal morbidity: intensive care admissions. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking. We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 17Network Diagram for additional uterotonics. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 18Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for additional uterotonics. 19Cumulative rankograms comparing each of the uterotonic agents for additional uterotonics. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 20Network Diagram for blood transfusion. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 21Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for blood transfusion. 22Cumulative rankograms comparing each of the uterotonic agents for blood transfusion. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 23Network Diagram for mean blood loss (mL). The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 24Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for mean blood loss (mL). 25Cumulative rankograms comparing each of the uterotonic agents for mean blood loss (mL). Ranking indicates the cumulative probability of being the best, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 26Network Diagram for change in haemoglobin measurements before and after birth (g/L). The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 27Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for change in haemoglobin measurements before and after birth (g/L). 28Cumulative rankograms comparing each of the uterotonic s for change in haemoglobin measurements before and after birth (g/L). Ranking indicates the cumulative probability of being the best, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 29Network Diagram for breastfeeding at discharge. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 30Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for breastfeeding at discharge. 31Cumulative rankograms comparing each of the uterotonic agents for breastfeeding at discharge. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 32Network Diagram for nausea. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 33Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for nausea. 34Cumulative rankograms comparing each of the uterotonic agents for nausea. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 35Network Diagram for vomiting. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 36Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for vomiting. 37Cumulative rankograms comparing each of the uterotonic agents for vomiting. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 38Network Diagram for hypertension. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 39Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for hypertension. 40Cumulative rankograms comparing each of the uterotonic agents for hypertension. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 41Network Diagram for headache. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 42Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for headache. 43Cumulative rankograms comparing each of the uterotonic agents for headache. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 44Network Diagram for fever. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 45Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for fever. 46Cumulative rankograms comparing each of the uterotonic agents for fever. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 47Network Diagram for shivering. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 48Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for shivering. 49Cumulative rankograms comparing each of the uterotonic agents for shivering. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 50Network Diagram for abdominal pain. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 51Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for abdominal pain. 52Cumulative rankograms comparing each of the uterotonic agents for abdominal pain. Ranking indicates the cumulative probability of being the best agent, the second best, the third best, etc. The x axis shows the relative ranking and the y‐axis the cumulative probability of each ranking.We estimate the SUrface underneath this Cumulative RAnking line (SUCRA); the larger the SUCRA the higher its rank among all available agents. 53Network Diagram for diarrhoea. The nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent a direct comparison and are drawn proportional to the number of trials making each direct comparison. Numbers on the lines represent the number of trials and participants for each comparison. The colour of the line is green for high‐certainty evidence; light green for moderate‐certainty evidence; orange for low‐certainty evidence and red for very low‐certainty evidence. Multi‐arm trials contribute to more than one comparison. 54Forest plot with relative risk ratios and 95% CIs from pairwise, indirect and network (combining direct and indirect) analyses for diarrhoea. Update of
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Gupta 2006 {published data only}
Hamm 2005 {published data only}
Harriott 2009 {published data only}
Hernandez‐Castro 2016 {published data only}
Hofmeyr 1998 {published data only}
Hofmeyr 2001 {published data only}
Hofmeyr 2011 {published data only}
Hoj 2005 {published data only}
Hong 2007 {published data only}
Humera 2016 {published data only}
Is 2012 {published data only}
Jago 2007 {published data only}
Jangsten 2011 {published data only}
Jans 2017 {published data only}
Jerbi 2007 {published data only}
Jirakulsawas 2000 {published data only}
Kabir 2015 {published data only}
Karkanis 2002 {published data only}
Kerekes 1979 {published data only}
Khan 1995 {published data only}
Khurshid 2010 {published data only}
Koen 2016 {published data only}
Kumar 2016 {published data only}
Kumru 2005 {published data only}
Kundodyiwa 2001 {published data only}
Kushtagi 2006 {published data only}
Lam 2004 {published data only}
Lamont 2001 {published data only}
Lapaire 2006 {published data only}
Leung 2006 {published data only}
Lokugamage 2001 {published data only}
Lumbiganon 1999 {published data only}
Maged 2016 {published data only}
Maged 2017 {published data only}
Malik 2018 {published data only}
Mannaerts 2018 {published data only}
McDonald 1993 {published data only}
Mitchell 1993 {published data only}
Mobeen 2011 {published data only}
Modi 2014 {published data only}
Moertl 2011 {published data only}
Mohamed 2015 {published data only}
Moir 1979 {published data only}
Moodie 1976 {published data only}
Mukta 2013 {published data only}
Musa 2015 {published data only}
Nankaly 2016 {published data only}
Nasr 2009 {published data only}
Nayak 2017 {published data only}
Nellore 2006 {published data only}
Ng 2001 {published data only}
Ng 2004 {published data only}
Ng 2007 {published data only}
Nirmala 2009 {published data only}
Nordstrom 1997 {published data only}
Nuamsiri 2016 {published data only}
Oboro 2003 {published data only}
Ogunbode 1979 {published data only}
Orji 2008 {published data only}
Ortiz‐Gomez 2013 {published data only}
Othman 2016 {published data only}
Owonikoko 2011 {published data only}
Pakniat 2015 {published data only}
Parsons 2006 {published data only}
Parsons 2007 {published data only}
Patil 2013 {published data only}
Patil 2016 {published data only}
Penaranda 2002 {published data only}
Perez‐Rumbos 2017 {published data only}
Poeschmann 1991 {published data only}
Prendiville 1988 {published data only}
Quibel 2016 {published data only}
Rajaei 2014 {published data only}
Ramirez 2001 {published data only}
Rashid 2009 {published data only}
Ray 2001 {published data only}
Reddy 2001 {published data only}
Reyes, Gonzalez 2011 {published data only}
Reyes 2011 {published data only}
Rogers 1998 {published data only}
Rosseland 2013 {published data only}
Sadiq 2011 {published data only}
Samimi 2013 {published data only}
Shady 2017 {published data only}
Shrestha 2011 {published data only}
Singh 2009 {published data only}
Sitaula 2017 {published data only}
Soltan 2007 {published data only}
Sood 2012 {published data only}
Stanton 2013 {published data only}
Su 2009 {published data only}
Sultana 2007 {published data only}
Supe 2016 {published data only}
Surbek 1999 {published data only}
Taheripanah 2018 {published data only}
Tewatia 2014 {published data only}
Thilaganathan 1993 {published data only}
Tripti 2006 {published data only}
Ugwu 2014 {published data only}
Uncu 2015 {published data only}
Un Nisa 2012 {published data only}
Vagge 2014 {published data only}
Vaid 2009 {published data only}
Van Selm 1995 {published data only}
Verma 2006 {published data only}
Vimala 2004 {published data only}
Vimala 2006 {published data only}
Walley 2000 {published data only}
Whigham 2016 {published data only}
Widmer 2018 {published data only}
Yuen 1995 {published data only}
Zachariah 2006 {published data only}
References to studies excluded from this reviewAbdel‐Aleem 2013 {published data only}
Abdel‐Aleem 2018 {published data only}
Abdollahy 2000 {published data only}
Adhikari 2007 {published data only}
Adnan 2017 {published data only}
Ahmed 2015 {published data only}
Akinaga 2016 {published data only}
Alam 2017 {published data only}
Al‐Harazi 2009 {published data only}
Ali 2012 {published data only}
Ali 2018 {published data only}
Anandakrishnan 2013 {published data only}
Anjaneyulu 1988 {published data only}
Anvaripour 2013 {published data only}
Ashwal 2016 {published data only}
Athavale 1991 {published data only}
Ayedi 2011 {published data only}
Ayedi 2011b {published data only}
Ayedi 2012 {published data only}
Aziz 2014 {published data only}
Bader 2000 {published data only}
Badhwar 1991 {published data only}
Bai 2014 {published data only}
Baig 2015 {published data only}
Balki 2006 {published data only}
Banovska 2013 {published data only}
Barbaro 1961 {published data only}
Baumgarten 1983 {published data only}
Bhattacharya 1988 {published data only}
Bhavana 2013 {published data only}
Bider 1991 {published data only}
Bider 1992 {published data only}
Bisri 2011 {published data only}
Bivins 1993 {published data only}
Blum 2010 {published data only}
Bonham 1963 {published data only}
Bonis 2012 {published data only}
Boopathi 2014 {published data only}
Bose 2017 {published data only}
Bulusu 2017 {published data only}
Cappiello 2006 {published data only}
Carvalho 2004 {published data only}
Catanzarite 1990 {published data only}
Chaplin 2009 {published data only}
Chatterjee 2016 {published data only}
Chaudhuri 2014 {published data only}
Chestnut 1987 {published data only}
Chou 1994 {published data only}
Chou 2015 {published data only}
Chukudebelu 1963 {published data only}
Cooper 2004 {published data only}
Cordovani 2011 {published data only}
Cordovani 2012 {published data only}
Dagdeviren 2016 {published data only}
Dahiya 1995 {published data only}
Daley 1951 {published data only}
Daly 1999 {published data only}
Dao 2009 {published data only}
Davies 2005 {published data only}
De bonis 2012 {published data only}
Dell‐Kuster 2017 {published data only}
Dennehy 1998 {published data only}
Deshpande 2016 {published data only}
Diab 1999 {published data only}
Dickinson 2009 {published data only}
Diop 2011 {published data only}
Dommisse 1980 {published data only}
Dong 2011 {published data only}
Dumoulin 1981 {published data only}
Durocher 2012 {published data only}
Dutta 2000 {published data only}
Dweck 2000 {published data only}
Dzuba 2012 {published data only}
Elati 2011 {published data only}
Erkkola 1984 {published data only}
Farber 2013 {published data only}
Farber 2015 {published data only}
Fatemeh 2011 {published data only}
Forster 1957 {published data only}
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Friedman 1957 {published data only}
Fugo 1958 {published data only}
Gai 2004 {published data only}
Gavhane 2017 {published data only}
George 2010 {published data only}
Ghulmiyyah 2007 {published data only}
Ghulmiyyah 2017 {published data only}
Gobbur 2011 {published data only}
Gohel 2007 {published data only}
Goswami 2013 {published data only}
Groeber 1960 {published data only}
Gungorduk 2010 {published data only}
Gungorduk 2010b {published data only}
Gungorduk 2011 {published data only}
Gungorduk 2013 {published data only}
Gupta 2014 {published data only}
Habek 2007 {published data only}
Hacker 1979 {published data only}
Häivä 1994 {published data only}
Halder 2013 {published data only}
Hoffman 2006 {published data only}
Hofmeyr 2004 {published data only}
Howard 1964 {published data only}
Huh 2004 {published data only}
Hunt 2013 {published data only}
Ilancheran 1990 {published data only}
Irons 1994 {published data only}
Islam 2008 {published data only}
Jackson 2001 {published data only}
Jagielska 2015 {published data only}
Javadi 2015 {published data only}
Jiang 2001 {published data only}
Jin 2000 {published data only}
Jolivet 1978 {published data only}
Jonsson 2010 {published data only}
Kashanian 2010 {published data only}
Kemp 1963 {published data only}
Khan 1997 {published data only}
Khan 2003 {published data only}
Khan 2012 {published data only}
Khan 2013 {published data only}
Khanun 2011 {published data only}
Kikutani 2003a {published data only}
Kikutani 2003b {published data only}
Kikutani 2006 {published data only}
King 2010 {published data only}
Kintu 2012 {published data only}
Kiran 2012 {published data only}
Kore 2000 {published data only}
Kovacheva 2015 {published data only}
Kovavisarach 1998 {published data only}
Le 2000 {published data only}
Leader 2002 {published data only}
Li 2002 {published data only}
Li 2003 {published data only}
Li 2011 {published data only}
Lin 2009 {published data only}
Liu 1997 {published data only}
Liu 2002 {published data only}
Liu 2015 {published data only}
Liu 2016 {published data only}
Luamprapas 1994 {published data only}
Maged 2015 {published data only}
Makvandi 2013 {published data only}
Mangla 2012 {published data only}
Mankuta 2006 {published data only}
Mansouri 2011 {published data only}
Martinez 2006 {published data only}
McGinty 1956 {published data only}
Miller 2009 {published data only}
Mirghafourvand 2015 {published data only}
Mirteimouri 2013 {published data only}
Mockler 2015 {published data only}
Mohamadian 2013 {published data only}
Mollitt 2009 {published data only}
Moore 1956 {published data only}
Movafegh 2011 {published data only}
Munishankarappa 2009 {published data only}
Munn 2001 {published data only}
Murphy 2009 {published data only}
Murphy 2015 {published data only}
Nankali 2013 {published data only}
Narenji 2012 {published data only}
Nelson 1983 {published data only}
Neri‐Mejia 2016 {published data only}
Newton 1961 {published data only}
Nguyen‐Lu 2015 {published data only}
Nieminen 1964 {published data only}
Oberbaum 2005 {published data only}
Oguz 2014 {published data only}
Ononge 2015 {published data only}
Ozalp 2010 {published data only}
Ozcan 1996 {published data only}
Ozkaya 2005 {published data only}
Padhy 2006 {published data only}
Palacio 2011 {published data only}
Paull 1977 {published data only}
Pei 1996 {published data only}
Perdiou 2009 {published data only}
Phromboot 2010 {published data only}
Pierre 1992 {published data only}
Pinder 2002 {published data only}
Pisani 2012 {published data only}
Porter 1991 {published data only}
Priya 2015 {published data only}
Puri 2012 {published data only}
Qiu 1999 {published data only}
Quiroga 2009 {published data only}
Ragab 2016 {published data only}
Raghavan 2016 {published data only}
Rahbar 2018 {published data only}
Rajwani 2000 {published data only}
Ray 2012 {published data only}
Razali 2016 {published data only}
Reddy 1989 {published data only}
Rezk 2018 {published data only}
Rooney 1985 {published data only}
Rosales‐Ortiz 2014 {published data only}
Rouse 2011 {published data only}
Sadeghipour 2013 {published data only}
Saito 2007 {published data only}
Sallam 2018 {published data only}
Samuels 2005 {published data only}
Sangkhomkhamhang 2012 {published data only}
Sariganont 1999 {published data only}
Sarna 1997 {published data only}
Sartain 2008 {published data only}
Savitha 2017 {published data only}
Schaefer 2004 {published data only}
Schemmer 2001 {published data only}
Sekhavat 2009 {published data only}
Sentilhes 2015 {published data only}
Senturk 2013 {published data only}
Senturk 2016 {published data only}
Shahid 2013 {published data only}
Sharma 2014 {published data only}
Sheehan 2011 {published data only}
Shirazi 2013 {published data only}
Shrestha 2007 {published data only}
Shrestha 2008 {published data only}
Singh 2005 {published data only}
Siriwarakul 1991 {published data only}
Soiva 1964 {published data only}
Soleimani 2014 {published data only}
Sorbe 1978 {published data only}
Soriano 1995 {published data only}
Sreelatha 2017 {published data only}
Stearn 1963 {published data only}
Svanstrom 2008 {published data only}
Swapnika 2018 {published data only}
Symes 1984 {published data only}
Taj 2014 {published data only}
Takagi 1976 {published data only}
Tali 2016 {published data only}
Tanir 2009 {published data only}
Tarabrin 2012 {published data only}
Tariq 2015b {published data only}
Tehseen 2008 {published data only}
Terry 1970 {published data only}
Tessier 2000 {published data only}
Tharakan 2008 {published data only}
Thomas 2007 {published data only}
Thornton 1988 {published data only}
Tita 2012 {published data only}
Tripti 2009 {published data only}
Tudor 2006 {published data only}
Ugwu 2016 {published data only}
Van den Enden 2009 {published data only}
Vasegh 2005 {published data only}
Vaughan Williams 1974 {published data only}
Ventoskovskiy 1990 {published data only}
Vogel 2004 {published data only}
Wallace 2007 {published data only}
Walraven 2005 {published data only}
Wang 2000 {published data only}
Wang 2018 {published data only}
Weeks 2015 {published data only}
Weihong 1998 {published data only}
Weiss 1975 {published data only}
Wellmann 2016 {published data only}
Wetta 2013 {published data only}
Winikoff 2012 {published data only}
Winikoff 2016 {published data only}
Wong 2005a {published data only}
Wong 2005b {published data only}
Wright 2005 {published data only}
Wu 2007 {published data only}
Xu 2003 {published data only}
Xu 2013 {published data only}
Yamaguchi 2011 {published data only}
Yan 2000 {published data only}
Yang 2001 {published data only}
Young 1988 {published data only}
Zamora 1999 {published data only}
Zaporozhan 2013 {published data only}
Zhao 1998 {published data only}
Zhao 2003 {published data only}
Zhou 1994 {published data only}
References to studies awaiting assessmentAbdel‐Aleem 1997 {published data only}
Alli 2013 {published data only}
Amornpetchakul 2017 {published data only}
Beigi 2009 {published data only}
Muller 1996 {published data only}
Norchi 1988 {published data only}
Rabow 2017 {published data only}
Roy 2017 {published data only}
Said 2017 {published data only}
Shrivasatava 2012 {published data only}
Sunil 2016 {published data only}
References to ongoing studiesBalki 2017 {published data only}
Draycott 2014 {published data only}
Gomez 2011 {published data only}
Goudar 2016 {published data only}
Kalahroudi 2010a {published data only}
Kalahroudi 2010b {published data only}
Maged 2018 {published data only}
Moradi 2010 {published data only}
Sweed 2014 {published data only}
Thakur 2015 {published data only}
Additional referencesAlkema 2016
Begley 2015
Brignardello‐Petersen 2018
Caldwell 2005
Combs 1991
Davies 2001
de Groot 1996a
de Groot 1998
DerSimonian 1986
Dias 2013
Higgins 2002
Higgins 2011
Higgins 2012
Hogerzeil 1993
Hunter 1992
Liabsuetrakul 2018
Lumley 2002
McDonald 2004
MEDICINES.ORG.UK
Nüesch 2010
Penney 2007
Puhan 2014
RevMan 2014 [Computer program]
Salanti 2011
Say 2014
Schaff 2005
Souza 2013
Su 2012
Tuncalp 2012
Westhoff 2013
White 2011
White 2012
White 2015
WHO 1993
WHO 2012
References to other published versions of this reviewGallos 2015
Gallos 2018
Publication typesMeSH termsSubstancesLinkOut - more resources
Which measure would be least effective in preventing postpartum haemorrhage?Which measure would be least effective in preventing postpartum hemorrhage? Question 1 Explanation: The fundus should be massaged only when boggy or soft.
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Postpartum Hemorrhage Practice Exam (PM)*. Which measurement best describes postpartum hemorrhage?Postpartum hemorrhage (PPH) is commonly defined as blood loss exceeding 500 mL following vaginal birth and 1000 mL following cesarean.
Which of the following complications is most likely responsible for a postpartum hemorrhage?The most common causes of PPH are: Uterine atony: Uterine atony (or uterine tone) refers to a soft and weak uterus after delivery. This is when your uterine muscles don't contract enough to clamp the placental blood vessels shut. This leads to a steady loss of blood after delivery.
Which is the most common cause for excessive blood loss after childbirth?Uterine atony.
This is the most common cause of PPH. It happens when the muscles in your uterus don't contract (tighten) well after birth. Uterine contractions after birth help stop bleeding from the place in the uterus where the placenta breaks away.
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