Evidence map›Paper›PMID 41380734›Full record

ArticleThe Journal of international medical research2025

Development and validation of a prediction model for in-hospital mortality in older adults with acute poisoning.

Ke Li, Jianping Ye, Yahui Tang, Longwang Chen, Zhongqiu Lu

Abstract readValidation Study
In one paragraph

Article in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ke LiDepartment of ICU, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang 323000, China.ORCID 0009-0007-9227-009X
Jianping YeDepartment of ICU, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui People's Hospital, Lishui, Zhejiang 323000, China.ORCID 0009-0004-3818-4375
Yahui TangDepartment of Emergency, The First Affiliated Hospital of Wenzhou Medical University, China.
Longwang ChenDepartment of Emergency, The First Affiliated Hospital of Wenzhou Medical University, China.
Zhongqiu LuDepartment of Emergency, The First Affiliated Hospital of Wenzhou Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundThis study aimed to develop a mortality risk model for older adult patients with acute poisoning, addressing the lack of age-specific tools.MethodsA retrospective study was conducted to develop and validate a nomogram for predicting in-hospital mortality. The training cohort included 452 patients (62.2% men; 51.3% ≥70 years; main poisoning types: pesticides, 39.9%; drugs, 28.2%), with 133 patients in an external validation cohort. Independent risk factors were identified through logistic regression, and the nomogram was developed in R. Model performance was assessed using area under the curve, sensitivity, specificity, calibration, and decision curve analysis; external validation was performed using data from another hospital.ResultsMultivariate analysis identified independent risk factors for in-hospital mortality: age ≥70 years (odds ratio = 2.66), heart rate <60 or ≥110 bpm (odds ratio = 2.00), lactate ≥3.5 mmol/L (odds ratio = 2.61), white blood count ≥15 × 10

Indexed as

Hospital MortalityNomogramsPoisoningAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsROC Curveacute poisoningmortalitynomogramOlder adultsvalidation

Identifiers

PMID41380734
PMCPMC12698983

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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.