Evidence map›Paper›PMID 41863032›Full record

ArticleCNS neuroscience & therapeutics2026

A Critical Four-Hour Therapeutic Window Predicts Delayed Encephalopathy Risk After Carbon Monoxide Poisoning: A Multicenter Retrospective Cohort Study.

Shaokun Wang, Yanxia Gao, Jie Ran, Yan Zhang, Yanling Chen, Hongyi Yan, Li Pang

Abstract readMulticenter Study
In one paragraph

Article in CNS neuroscience & therapeutics, 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. 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

7 authors.

Shaokun WangDepartment of Emergency, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.ORCID 0000-0001-7940-4427
Yanxia GaoDepartment of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Medical Key Laboratory of Poisoning Diseases of Henan Province, Zhengzhou, Henan, People's Republic of China.
Jie RanDepartment of Pediatrics, Children's Medical Center, the First Hospital of Jilin, Lequn Branch, Changchun, Jilin, People's Republic of China.
Yan ZhangDepartment of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Medical Key Laboratory of Poisoning Diseases of Henan Province, Zhengzhou, Henan, People's Republic of China.
Yanling ChenDepartment of Emergency, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.
Hongyi YanDepartment of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Medical Key Laboratory of Poisoning Diseases of Henan Province, Zhengzhou, Henan, People's Republic of China.
Li PangDepartment of Emergency, The First Hospital of Jilin University, Changchun, Jilin, People's Republic of China.ORCID 0000-0002-3952-937X

Funding

the National Natural Science Foundation of China 82372211
6 · The paper itself

Abstract

aimsThe therapeutic window for preventing delayed encephalopathy after carbon monoxide poisoning (DEACMP) remains unclear. We aimed to define this temporal risk relationship and establish an intervention threshold using machine learning.

methodsIn this multicenter retrospective cohort study (n = 1755), a gradient boosting model for predicting DEACMP was developed (n = 1654) and externally validated (n = 101). Performance was assessed using the area under the receiver operating characteristic curve (AUC) and interpreted using Shapley Additive exPlanations (SHAP).

resultsThe exposure-to-treatment interval was the most powerful predictor of DEACMP risk. Intervention within four hours emerged as the most critical variable influencing risk (SHAP analysis). The model demonstrated robust discrimination in the training (AUC = 0.944, 95% CI, 0.926-0.960), internal validation (AUC = 0.849, 95% CI, 0.785-0.905), and external validation (AUC = 0.872, 95% CI, 0.772-0.946) sets.

conclusionTreatment delay is the primary modifiable risk factor for DEACMP following CO poisoning. The identified critical four-hour therapeutic window provides the first quantitative, evidence-based benchmark to inform clinical guidelines and optimize emergency response strategies aimed at preventing delayed neurological sequelae.

Indexed as

Brain DiseasesCarbon Monoxide PoisoningAdultCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTime FactorsTreatment Delaycarbon monoxide poisoningcohort studydelayed encephalopathymachine learningrisk stratificationtemporal factors

Identifiers

PMID41863032
PMCPMC13093570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.