Evidence map›Paper›PMID 40844036›Full record

ArticleBiomarkers in medicine2026

Serum inflammatory and coagulation markers in GBS infection and adverse pregnancy outcomes.

Lin Li, Xiaoying Wang, Dan Li, Zhenfang Liu

Abstract read
In one paragraph

Article in Biomarkers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Lin LiDepartment of Obstetrics and Gynecology, Yingtan Maternal and Child Health Hospital, Yingtan, Jiangxi, China.
Xiaoying WangDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Dan LiDepartment of Obstetrics and Gynecology, Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Zhenfang LiuDepartment of Obstetrics and Gynecology, Yingtan Maternal and Child Health Hospital, Yingtan, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship between Group B Streptococcus (GBS) infection in pregnant women and adverse pregnancy events (APEs), as well as serum inflammatory factors (IFs) and coagulation parameters.

methodsA retrospective analysis was conducted on 2,200 late-pregnancy women who delivered at Maternal and Child Health Hospital from March 2020 to January 2023. Data on GBS infection, serotyping, immunofluorescence, coagulation parameters, and APEs were collected. APE incidence was compared between groups, and logistic regression was performed to analyze inflammatory factors and coagulation parameters in GBS-positive women with and without APEs.

resultsAmong the participants, 593 (26.95%) were GBS-positive, and 1,607 (73.05%) were GBS-negative. The GBS-positive group had significantly higher rates of preterm birth, intrauterine infection, premature rupture of membranes, placental abruption, postpartum hemorrhage, and meconium-stained amniotic fluid compared to the GBS-negative group (

conclusionGBS infection increases the risk of adverse pregnancy events and is closely associated with alterations in inflammatory and coagulation markers.

Indexed as

BiomarkersBlood CoagulationInflammationPregnancy Complications, InfectiousStreptococcal InfectionsStreptococcus agalactiaeAdultC-Reactive ProteinFemaleHumansPregnancyPregnancy OutcomePremature BirthRetrospective StudiesBiomarkersC-Reactive Proteinadverse pregnancy eventscoagulation factorGBSinflammatory factorspregnant and postpartum women

Identifiers

PMID40844036
PMCPMC12947555

What OpenQuestion holds

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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.