Evidence mapPaperPMID 41309807Full record

ArticleScientific reports2025

Charlson index predicts thirtyday mortality in critically ill stroke patients MIMICIV retrospective study.

Xueqin Bai, Liang Sun, Ye Zhang, Dong Zhao, Xiaoxia Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Hospital Cost Components and Predictors inTropical medicine and infectious disease · 2026
    Article
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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.

Xueqin BaiThe First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Liang SunThe Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China. sunliang8212@163.com.
Ye ZhangMentougou District Hospital, Beijing, China.
Dong ZhaoThe Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Xiaoxia LiThe Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke, characterized by disrupted cerebral blood flow and neuronal damage, poses a significant risk of mortality. Using the MIMIC-IV data, we investigated the association between the Charlson Comorbidity Index (CCI) and 30-day mortality in critically ill patients with stroke. Our analysis showed that each unit increase in CCI raised mortality risk by 12% (HR = 1.12, 95% CI = 1.09-1.16, P < .001). Subgroup analysis indicated no demographic interactions (P > .05), and sensitivity analyses confirmed the robustness of the findings across the models. Systematic CCI evaluation may enhance risk stratification and clinical management in critical stroke care. This study highlights that higher CCI scores correlate with increased post-stroke mortality risk, underscoring the value of CCI in clinical risk assessment. However, these limitations include the vulnerability of the retrospective design to residual confounding and the exclusion of nutritional metrics (e.g., BMI) due to over 50% missing data. Despite these limitations, the incorporation of CCI assessments can improve the outcomes.

Indexed as

Critical IllnessStrokeAgedAged, 80 and overComorbidityFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsCharlson comorbidity indexMIMIC-IVStroke

Identifiers

PMID41309807
PMCPMC12661011

What Socratic 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 Socratic graph.