ArticleThe Pan African medical journal2020
Optimal parity cut-off values for predicting postpartum hemorrhage in vaginal deliveries and cesarean sections.
Article in The Pan African medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review.BMJ open · 2025Pooled it
- Duration of the second and third stages of labor and risk of postpartum hemorrhage: a cohort study stratified by parity.BMC pregnancy and childbirth · 2025Trial
- Multidisciplinary team training in postpartum hemorrhage: impact on the use of blood products.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024Article
- Prediction of postpartum hemorrhage using traditional statistical analysis and a machine learning approach.AJOG global reports · 2023Article
- Comparison of Fetomaternal Complications in Women of High Parity with Women of Low Parity among Saudi Women.Healthcare (Basel, Switzerland) · 2022Article
- Type of occupation and early antenatal care visit among women in sub-Saharan Africa.BMC public health · 2022Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionhigh parity is a major public health concern in developing countries and it is a risk factor for postpartum hemorrhage (PPH). The aim of this study was to analyze the optimal parity cut-off values for predicting PPH in vaginal deliveries and cesarean sections in a rural Zambian setting.
methodsall women who delivered at Zimba Mission Hospital in 2017 were reviewed in this retrospective survey. Those whose records were missing data on parity and those with risk factors for developing PPH (e.g. birth weight ≥4,000 g, multiple pregnancy, assisted vaginal delivery and placenta previa) were excluded. We analyzed the association between parity and PPH using multiple logistic regression and ROC curve analyses.
resultsamong the 1,555 women included in the study, 72 (4.6%) women experienced PPH. The optimal cut-off values for parity in vaginal deliveries and cesarean sections were para 7 and 3, respectively. Using these cut-off values, the adjusted odds ratios (95% confidence intervals) were 3.26 (1.15, 9.21) and 8.28 (2.25, 30.5), respectively.
conclusionproper preparation is required for vaginal deliveries in women with a history of ≥7 births and cesarean sections in women with a history of ≥3 births.
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