Evidence map›Paper›PMID 40097957›Full record

ArticleBMC pregnancy and childbirth2025

Evaluating predelivery platelet and coagulation indices as predictors of immediate postpartum haemorrhage in low-risk women undergoing vaginal delivery.

Yaru Peng, Jinyi Liu, Peng Liu, Ying Wu, Guohua Zhang, Yanwei Guo

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yaru PengDepartment of Gynaecological Oncology, Gansu Provincial Cancer Hospital, Lanzhou, 730000, PR China.
Jinyi LiuDepartment of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College of London, London, SE5 8AF, UK.
Peng LiuDepartment of Anesthesiology and Perioperative Medicine, General Hospital of Ningxia Medical University, Yinchuan, 750000, PR China.
Ying WuDepartment of Obstetrics and Gynecology, The Fourth Hospital of Shijiazhuang, Hebei Provincial Key Laboratory of Maternal-Fetal Medicine, Shijiazhuang, 050000, PR China.
Guohua ZhangDepartment of Obstetrics and Gynecology, The Fourth Hospital of Shijiazhuang, Hebei Provincial Key Laboratory of Maternal-Fetal Medicine, Shijiazhuang, 050000, PR China. toudigaojian666@163.com.
Yanwei GuoDepartment of Obstetrics and Gynecology, Chengde Medical University Affiliated Hospital, Chengde, 067000, PR China. guo.yan.wei2002@163.com.

Funding

Key Research and Development Project of Hebei Province 20377779DScience and Technology Project of Hebei Province 162777102D
6 · The paper itself

Abstract

backgroundAlthough monitoring systems for high-risk postpartum haemorrhage (PPH) are well-established, predicting immediate PPH-defined as blood loss ≥ 500 mL within 2 h postpartum, distinct from general PPH (≥ 500 mL within 24 h)-remains challenging in low-risk vaginal deliveries. This case-control study aimed to explore the association between predelivery coagulation profiles and the occurrence of immediate PPH in low-risk parturients, specifically those without severe pregnancy complications and with singleton vertex presentations.

methodsA retrospective analysis was conducted on 409 vaginal deliveries at a tertiary hospital from 2014 to 2019. Of these, 179 cases met the WHO criteria for immediate PPH, while 230 served as controls (blood loss < 500 mL). Thirty clinical and laboratory variables were extracted, including predelivery coagulation parameters-platelet count (PLT), prothrombin time (PT), activated partial thromboplastin time (APTT), and thrombin time (TT)-as well as delivery characteristics such as forceps-assisted delivery and placental retention. Logistic regression was used to identify independent risk factors, and a multivariable prediction model was subsequently developed.

resultsMultivariate analysis identified several independent predictors of immediate PPH: Rural residence, Forceps deliveries, Retained placenta and membrane, Newborn birth weight ≥ 3500 g, PLT ≤ 212 × 10⁹/L, PT > 11 s, APTT > 28.8 s, and TT > 13.8 s. (all P < 0.05). The combined prediction model demonstrated excellent predictive performance, with an area under the receiver operating characteristic curve (AUC) of 0.854, achieving 82.58% sensitivity and 74.78% specificity.

conclusionsThis multidimensional predictive model effectively identifies parturients at elevated risk for immediate PPH in low-risk deliveries, enabling more targeted preventive interventions. Prospective studies are warranted to validate and refine this model in broader clinical settings.

Indexed as

Delivery, ObstetricPostpartum HemorrhageAdultBlood CoagulationBlood Coagulation TestsCase-Control StudiesFemaleHumansPartial Thromboplastin TimePlatelet CountPredictive Value of TestsPregnancyProthrombin TimeRetrospective StudiesRisk FactorsBlood coagulation testsPlatelet (PLT)Postpartum haemorrhagePregnancyRisk factor

Identifiers

PMID40097957
PMCPMC11912657

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.