Evidence map›Paper›PMID 41188422›Full record

ArticleScientific reports2025

Modeling and analysis of the risk evolution for coal mine gas explosion from the perspective of safety information loss.

Huimin Guo, Lianhua Cheng, Meng Jiang

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. 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

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

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

3 authors.

Huimin GuoCollege of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, Shaanxi, 710054, China. ghuimin@xust.edu.cn.
Lianhua ChengCollege of Management, Xi'an University of Science and Technology, Xi'an , Shaanxi, 710054, China.
Meng JiangCollege of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, Shaanxi, 710054, China.

Funding

Education Department of Shaanxi Province 23JY050National Natural Science Foundation of China 51974238National Natural Science Foundation of China 52404236
6 · The paper itself

Abstract

To reveal the causal mechanism of coal mine gas explosion accidents, taking coal mine gas explosion accident cases as the research object, and combining in-depth analysis of the process of safety information transmission and safety information loss, a coal mine gas explosion safety information transmission loss model was constructed. In addition, the causal factors of gas explosion accidents were extracted from six stages: loss of safety information generation, transformation, perception, cognition, decision-making, and execution. Finally, using complex network theory, a weighted network model for the evolution of coal mine gas explosion risk is established to explore the key risk factors and evolution paths of gas explosion accidents, and to reveal the causal mechanism of coal mine gas explosion accidents from the perspective of safety information loss. The research results indicate that the proportion of safety execution losses during the accident stage is as high as 28.08%, followed by safety awareness losses. In addition, 5 key risk factors and 3 key evolutionary paths were identified.

Indexed as

Causative mechanismComplex networkEvolutionary modelGas explosionSafety information loss

Identifiers

PMID41188422
PMCPMC12586707

What OpenQuestion holds

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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.