Evidence map›Paper›PMID 42148021›Full record

ArticleProceedings (Baylor University. Medical Center)2026

The weekend effect in sepsis and septic shock: a 5-year US national study.

Maura Radigan, Aryan Mehta, Eun Sun Lee, Saraschandra Vallabhajosyula

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2026. 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. Evolving sepsis care and the weekend effect: cause for optimism?Proceedings (Baylor University. Medical Center) · 2026
    Article
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.

Maura RadiganSchool of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut, USA.ORCID https://orcid.org/0009-0001-1633-9856
Aryan MehtaDepartment of Medicine, University of Connecticut Health, Farmington, Connecticut, USA.ORCID https://orcid.org/0000-0002-3491-5503
Eun Sun LeeSchool of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
Saraschandra VallabhajosyulaDivision of Cardiology, Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The "weekend effect" has been observed in many acute conditions; however, limited and conflicting data exist regarding its impact on patients with sepsis. We sought to assess this "weekend effect" in admissions with sepsis in the United States. Methods: For this retrospective cohort study, adult admissions with a primary diagnosis of sepsis or septic shock were identified using ICD-10 codes in the National Inpatient Sample from 2016 through 2020. Outcomes of interest included in-hospital mortality, hospital length of stay, hospitalization costs, and discharge disposition. Results: A total of 8,405,984 admissions with sepsis or septic shock were identified, of which 2,235,715 (26.6%) were on a weekend. Weekend admissions had slightly lower baseline comorbidity (Elixhauser Index 4.47 ± .01 vs 4.49 ± .01, Conclusions: In this analysis, weekend admissions for sepsis or septic shock were not associated with increased in-hospital mortality. The observed lower mortality may reflect evolving care practices, although further investigation is needed.

Indexed as

HospitalizationSepsisShock, SepticAdultAgedFemaleHospital MortalityHumansLength of StayMaleMiddle AgedRetrospective StudiesTime FactorsUnited StatesHospital admissionmortalitysepsisseptic shockweekend effect

Identifiers

PMID42148021
PMCPMC13174848

What OpenQuestion holds

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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.