Evidence map›Paper›PMID 35979478›Full record

ArticlePeerJ2022

A retrospective study of risk factors for early-onset neonatal sepsis with intrapartum maternal fever.

Hongmin An, Wei Zheng, Qinghua Zhu, Yun Chai

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

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  5. Early-onset neonatal sepsis as a risk factor for peri-intraventricular hemorrhage in premature infants.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
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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 at 2 institutions in 1 country.

Hongmin AnObstetrics Department, Hangzhou Women's Hospital, Hangzhou, China.
Wei ZhengDepartment of Gastroenterology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qinghua ZhuObstetrics Department, Hangzhou Women's Hospital, Hangzhou, China.
Yun ChaiObstetrics Department, Hangzhou Women's Hospital, Hangzhou, China.
Hangzhou Women’s Hospital · CNChildren's Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intrapartum fever is a well-known risk factor for adverse perinatal outcomes. In this study, we evaluated the clinical features for intrapartum maternal fever and investigated the risk factors for neonatal early-onset sepsis (EOS) with intrapartum maternal fever. Methods: This retrospective cohort study involved a total of 568 neonates born to mothers with intrapartum maternal fever (temperature peak ≥38 degree Celsius) in Hangzhou Women's Hospital from January 1st to December 31st, 2019. Neonates were assigned to the EOS and non-sepsis groups based on the diagnostic criteria for early-onset neonatal sepsis,. Demographic data, clinical information and laboratory test results were evaluated to assess the risk factors for EOS. Results: A total of 568 neonates were included in this study, 84 of whom were diagnosed with EOS. The EOS group was significantly different from the non-sepsis group in 11 items including the both white blood cell (WBC) count and C-reactive protein (CRP) level of the mother before delivery ( Conclusions: Elevated prenatal maternal WBC counts and maternal HCA diagnosis are both independently associated with EOS. Prenatal maternal WBC counts can be used as a sensitive indicator to predict EOS early.

Indexed as

Neonatal SepsisSepsisFemaleFeverHumansInfant, NewbornPregnancyRetrospective StudiesRisk FactorsChorioamnionitisMaternal feverNeonatal sepsisRisk factorsWhite blood cell

Identifiers

PMID35979478
PMCPMC9377330
OpenAlexW4293859342

What OpenQuestion holds

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LicenceCC BY
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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.