Evidence map›Paper›PMID 42038621›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Implementation of the early-onset sepsis calculator in a tertiary care NICU.

Walid Hussain, Deborah Bondi, Pooja Shah, Elzbieta Kalata, Kelli Skvarenina, Simon Parzen-Johnson

Erratum issuedAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Erratum: Implementation of the Early-Onset Sepsis Calculator in a Tertiary Care NICU - CORRIGENDUM.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Walid HussainPediatrics, University of Chicago Hospital: The University of Chicago Medicine, Chicago, USA.ORCID https://orcid.org/0000-0001-5249-7766
Deborah BondiPharmacy, University of Chicago Hospital: The University of Chicago Medicine, Chicago, USA.ORCID https://orcid.org/0000-0002-1277-2484
Pooja ShahPharmacy, University of Chicago Hospital: The University of Chicago Medicine, Chicago, USA.ORCID https://orcid.org/0000-0002-3173-9540
Elzbieta KalataPediatrics, University of Chicago Hospital: The University of Chicago Medicine, Chicago, USA.ORCID https://orcid.org/0000-0003-3712-7091
Kelli SkvareninaPediatrics, University of Chicago Hospital: The University of Chicago Medicine, Chicago, USA.
Simon Parzen-JohnsonPediatrics, University of Chicago Hospital: The University of Chicago Medicine, Chicago, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Early-onset sepsis (EOS) is a significant cause of neonatal morbidity and mortality. Due to fear of missing cases, many newborns are unnecessarily exposed to antibiotics. We implemented the neonatal EOS calculator to reduce over-utilization of antibiotics and decrease costs. Design: Quality improvement study. Setting: Neonatal Intensive Care Unit (NICU). Patients: Infants born at ≥34 weeks' gestation were divided between two periods: the pre-EOS calculator time frame and the post-EOS calculator time frame. Intervention: We changed our EOS evaluation for inborn infants by implementing the EOS-calculator and decreasing "rule-out sepsis" time frame from 48 to 36 hours for infants started on antibiotics. Results: 1,306 infants, with similar demographics, were included: 814 in pre-EOS calculator time frame and 492 in post-EOS calculator time frame. Following our interventions, the percentage of NICU admissions ≥34 weeks' gestation started on antibiotics decreased from 62% to 51% ( Conclusions: Antibiotic usage significantly decreased, with substantial savings after implementation of the EOS calculator, without significant negative effects.

Identifiers

PMID42038621
PMCPMC13104582

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Registered trials

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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.