Evidence map›Paper›PMID 37627726›Full record

ArticleAntibiotics (Basel, Switzerland)2023

The Management of Neonates ≥34 Weeks' Gestation at Risk of Early Onset Sepsis: A Pilot Study.

Maria Cristina Barbini, Simona Perniciaro, Ilia Bresesti, Laura Folgori, Lucia Barcellini, Angela Bossi, Massimo Agosti

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

7 authors.

Maria Cristina BarbiniNeonatal Intensive Care Unit, "Filippo del Ponte" Hospital, ASST Settelaghi, 21100 Varese, Italy.
Simona PerniciaroNeonatal Intensive Care Unit, "Filippo del Ponte" Hospital, ASST Settelaghi, 21100 Varese, Italy.
Ilia BresestiNeonatal Intensive Care Unit, "Filippo del Ponte" Hospital, ASST Settelaghi, 21100 Varese, Italy.ORCID 0000-0002-6812-7556
Laura FolgoriDepartment of Pediatrics, "V. Buzzi" Children's Hospital, ASST FBF Sacco, 20154 Milan, Italy.
Lucia BarcelliniDepartment of Pediatrics, "V. Buzzi" Children's Hospital, ASST FBF Sacco, 20154 Milan, Italy.
Angela BossiNeonatal Intensive Care Unit, "Filippo del Ponte" Hospital, ASST Settelaghi, 21100 Varese, Italy.
Massimo AgostiNeonatal Intensive Care Unit, "Filippo del Ponte" Hospital, ASST Settelaghi, 21100 Varese, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early onset sepsis (EOS) is a potentially fatal condition in neonates, and its correct management is still challenging for neonatologists. Early antibiotic administration in the neonatal period may carry short- and long-term risks. Neonatal EOS calculator has been recently introduced as a new strategy to manage infants at risk of sepsis, and has shown promising results.

methodsIn this single-center observational retrospective study, 1000 neonates ≥ 34 weeks' gestation were enrolled with the aim to evaluate our standard protocol for the management of suspected EOS compared to the EOS calculator. Outcome measures included the following: (1) incidence of EOS and (2) proportion of infants in need of sepsis evaluations and antibiotics using our standard protocol versus theoretical application of EOS calculator.

resultsA total of 223/1000 infants underwent blood investigations versus 35/1000 (3.5%) if EOS calculator had been applied (

conclusionsIn our study, EOS calculator could have reduced investigations but not antibiotic therapy. EOS calculator is an effective and promising tool, but further studies are required to improve it.

Indexed as

antibioticsearly onset sepsisnewborns

Identifiers

PMID37627726
PMCPMC10451212

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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.