Evidence map›Paper›PMID 39187543›Full record

ArticleScientific reports2024

Research on the development relationship between safety production indicators and economic and social indicators in China.

Dandan Han, Shuhao Fang, Hongqing Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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. Burden of low-back pain disease caused by occupational ergonomic factors in China from 1990 to 2021 and forecast for 2035: a systematic analysis and comparison with global trends.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    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

3 authors.

Dandan HanSchool of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, 100080, China.
Shuhao FangSchool of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan, 316022, Zhejiang, China. 13051880533@163.com.
Hongqing ZhuSchool of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, 100080, China.

Funding

CSRD VA 1
6 · The paper itself

Abstract

In order to study the relationship between China's safety production indicators and economic and social indicators, the development trend of indicator data in the past 20 years was statistically analyzed, and qualitative and quantitative research was conducted using grey relational analysis and multiple linear regression analysis methods. In the past two decades, there has been a significant improvement in the number of deaths, work-related injuries, and occupational patients in China's safety production, and the country's three categories of 14 economic and social indicators have achieved rapid development. Using the grey relation analysis method, the grey correlation degree between the number of deaths, work-related injuries, and occupational patients in China over the past twenty years and 14 economic and social indicators was obtained. The ranking of economic and social indicators that affect the number of deaths, work-related injuries, and occupational patients varies greatly. A multiple linear regression model was established for the number of deaths, work-related injuries, occupational diseases, and 14 economic and social indicators. The rationality of the model was verified from four aspects: R

Indexed as

Occupational InjuriesAccidents, OccupationalChinaEconomic FactorsHumansLinear ModelsOccupational DiseasesOccupational HealthSocioeconomic FactorsEconomic and social indicatorsGrey relation analysisMultiple linear regressionSafety production statistical indicators

Identifiers

PMID39187543
PMCPMC11347676

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.