Evidence map›Paper›PMID 41816413›Full record

ArticleJournal of thoracic disease2026

Development and evaluation of a clinical prediction model for in-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease.

Xuliu Zhang, Hongye Wang, Tianrun Tu, Pengyang Wu, Xinye Luo, Guiwen Liang, Lei Qi, Zhongwei Huang, Haiyan Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of thoracic disease, 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

9 authors.

Xuliu Zhang *Clinical Skills Training Center, Medical School of Nantong University, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.
Hongye Wang *Clinical Skills Training Center, Medical School of Nantong University, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.
Tianrun TuClinical Skills Training Center, Medical School of Nantong University, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.
Pengyang WuDepartment of Applied Science in Mechanical Engineering, University of Toronto, Toronto, ON, Canada.
Xinye LuoClinical Skills Training Center, Medical School of Nantong University, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.
Guiwen LiangClinical Skills Training Center, Medical School of Nantong University, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.
Lei QiClinical Skills Training Center, Medical School of Nantong University, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.
Zhongwei HuangClinical Skills Training Center, Medical School of Nantong University, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.
Haiyan JiangClinical Skills Training Center, Medical School of Nantong University, Affiliated Hospital of Nantong University, Nantong University, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a major cause of hospitalization and is associated with high in-hospital mortality; consequently, early identification of high-risk patients is crucial. This study aimed to develop and validate a clinical prediction model for in-hospital mortality among patients with AECOPD using readily available admission indicators to aid in risk stratification. Methods: A retrospective analysis was conducted on 287 patients with AECOPD admitted to the Emergency Department and Respiratory and Critical Care Medicine Department of The Sixth People's Hospital of Nantong between February 2022 and February 2025. The complete patient dataset was randomly and equally divided into five mutually exclusive subsets (or folds). Each subset was sequentially used as the validation set, while the remaining four served as the training set. The training datasets were used for variable screening and model construction, and this process was repeated five times. Ultimately, the model's performance metrics were calculated as the average of the five validation results. Results: In the mortality group, parameters such as partial pressure of carbon dioxide (PaCO Conclusions: Using prognosis (in-hospital outcome) as the dependent variable (death =1 and improvement =0), we ultimately identified eight variables-age, sex, PaCO

Indexed as

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD)indicatorspredictionprognosis

Identifiers

PMID41816413
PMCPMC12972779

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.