Evidence map›Paper›PMID 42051942›Full record

ReviewFrontiers in pediatrics2026

Association between maternal preeclampsia and the risk of neonatal sepsis: a systematic review and meta-analysis.

Chang Zhou, Dongyang Liu, Junxia Wang

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chang ZhouDepartment of Pediatrics, General Hospital of Western Theater Command, Chengdu, China.
Dongyang LiuDepartment of Pediatrics, General Hospital of Western Theater Command, Chengdu, China.
Junxia WangDepartment of Pediatrics, General Hospital of Western Theater Command, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Background: Preeclampsia is a common hypertensive disorder of pregnancy associated with adverse maternal and neonatal outcomes, while neonatal sepsis remains a leading cause of neonatal morbidity and mortality worldwide. However, the association between maternal preeclampsia and neonatal sepsis remains uncertain, with inconsistent findings across studies. We conducted a systematic review and meta-analysis to evaluate this relationship. Methods: PubMed, Embase, and Web of Science were searched from inception to January 05, 2026, including full-text articles published in English. Observational studies including neonates (≤28 days) born to women with and without preeclampsia, with gestational age (GA) at delivery matched or adjusted, were eligible. Risk ratios (RRs) were pooled using random-effects models accounting for between-study heterogeneity. The certainty of evidence for the outcome was assessed using the GRADE framework. Results: Eleven cohort studies comprising 1,513,008 neonates (65,848 exposed to preeclampsia) and 24,925 cases of neonatal sepsis were included. Overall, preeclampsia was associated with a modestly increased risk of neonatal sepsis (RR: 1.27, 95% CI: 1.02-1.56; Conclusions: Maternal preeclampsia may be associated with a modest increase in the risk of neonatal sepsis. These findings suggest that neonates born to mothers with preeclampsia may warrant closer clinical surveillance for early signs of infection. However, substantial heterogeneity and the low certainty of evidence warrant cautious interpretation, and further well-designed studies are needed to clarify the clinical significance and underlying mechanisms of this association. Systematic Review Registration: identifier CRD420261320994.

Indexed as

gestational agemeta-analysisneonatal sepsispreeclampsiarisk factor

Identifiers

PMID42051942
PMCPMC13111289

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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.