Evidence map›Paper›PMID 40809426›Full record

ArticleFrontiers in medicine2025

Influencing factors of rehabilitation participation among patients with pneumoconiosis in Chongqing, China.

Xiaodong Wang, Lvsu Ye, Lijie Long, Xiaoya Huang, Yongyi Wang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

5 authors.

Xiaodong WangThe Affiliated Rehabilitation Hospital of Chongqing Medical University, Chongqing, China.
Lvsu Ye *The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing, China.
Lijie Long *The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing, China.
Xiaoya HuangThe First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing, China.
Yongyi WangThe First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pneumoconiosis is the most serious and common occupational disease in China. This study aimed to analyze the factors influencing participation in pulmonary rehabilitation among patients with pneumoconiosis and provide a basis for decision-making to promote their engagement in rehabilitation. Methods: We collected data from patients with complete file information between January 2020 and December 2023. The basic information, disease stage, and other characteristics were analyzed. SPSS (version 22.0) statistical software was used for the chi-square test, U-test, and logistic regression analysis. Results: A total of 1994 patients with pneumoconiosis were included in this study. Of these, 77.8% of the patients participated in rehabilitation and 22.2% did not take part. Comparisons between the two groups revealed that the average annual hospitalization times, hospitalization expenditure, patient income, family expenditure, and disability level in the rehabilitation group were higher than in the non-rehabilitation group ( Conclusion: The participation of patients with pneumoconiosis is influenced by various factors, including their household registration nature, educational level, and disease stage. Additional measures should be taken to improve the patients' motivation for rehabilitation.

Indexed as

influencing factorsoccupational healthpneumoconiosispublic healthrehabilitation

Identifiers

PMID40809426
PMCPMC12343671

What OpenQuestion 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 OpenQuestion graph.