Evidence map›Paper›PMID 41529524›Full record

ArticleJournal of critical care2026

Machine learning to assess correlated sociodemographic and socioeconomic community-level data and association with sepsis incidence.

Zahra Aghababa, Jason N Kennedy, RuoFei Yin, Christina F Mair, Kristina E Rudd

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of critical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Zahra AghababaThe Center for Research, Investigation, and Systems Modeling of Acute Illness (CRISMA), University of Pittsburgh Department of Critical Care Medicine, Pittsburgh, PA, USA. Electronic address: z_aghababa@pitt.edu.
Jason N KennedyThe Center for Research, Investigation, and Systems Modeling of Acute Illness (CRISMA), University of Pittsburgh Department of Critical Care Medicine, Pittsburgh, PA, USA.
RuoFei YinDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Christina F MairDepartment of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA.
Kristina E RuddThe Center for Research, Investigation, and Systems Modeling of Acute Illness (CRISMA), University of Pittsburgh Department of Critical Care Medicine, Pittsburgh, PA, USA.

Funding

The Syndemic of Sepsis, Multimorbidity, Aging, and Low Healthcare Access and Quality in the United StatesK23GM141463 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RUDD, KRISTINA ELIZABETH · 2021 to 2025
$921k
NIGMS NIH HHS K23 GM141463
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Community exposuresMachine learningSepsis

Identifiers

PMID41529524
PMCPMC13452382

What OpenQuestion holds

Textmetadata
LicenceTDM
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.