Evidence map›Paper›PMID 41756185›Full record

ArticleFrontiers in pediatrics2026

Optimizing neonatal management in the prescence of intrapartum maternal fever via the integration of an early-onset sepsis risk calculator and dynamic inflammatory markers.

Bin Wu, Jiemin Liu, Xuemei Fu

Abstract read
In one paragraph

Article 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.

Bin WuDepartments of Neonatology, International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiemin LiuDepartments of Neonatology, International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xuemei FuDepartments of Neonatology, International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intrapartum maternal fever is associated with an increased risk of early-onset sepsis (EOS) in infants. However, EOS has a high mortality rate, and its clinical symptoms are variable and often atypical, posing significant challenges for early identification and treatment. This study aims to evaluate the performance of an EOS risk calculator in combination with inflammatory markers for predicting EOS in infants born to mothers with intrapartum fever while maintaining neonatal safety in China. Methods: This was a retrospective cohort study involving 265 term neonates (gestational age: 37-41⁶/₇ weeks) born between the 1st of January 2024 and the 30th of June at the International Peace Maternity and Child Health Hospital. Eligible neonates were admitted to the neonatal intensive care unit (NICU) due to a intrapartum maternal fever (temperature >37.5 °C). We collared and reviewed laboratory data and medical charts of all included neonates. EOS risk scores for all neonates were calculated using the EOS risk calculator, and the results were analyzed and compared with blood biomarkers. Results: Of the 265 neonates, 61 (23.0%) were diagnosed with EOS. Among the 204 (77.0%) low-risk newborns predicted by the EOS risk calculator, none developed culture-confirmed sepsis. Infected neonates exhibited significantly higher levels ( Conclusions: Combined with inflammatory markers, the EOS risk calculator demonstrated good predictive accuracy and a high safety profile for the clinical management of neonates with presumed sepsis, which helps reduce antibiotic use and promotes rational use of medical resources.

Indexed as

biomarkerearly-onset sepsisearly-onset sepsis calculatormaternal intrapartum feverneonate

Identifiers

PMID41756185
PMCPMC12932430

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.