Evidence map›Paper›PMID 37521973›Full record

ArticleFrontiers in public health2023

Current status, trends, and predictions in the burden of silicosis in 204 countries and territories from 1990 to 2019.

Xinglin Yi, Yi He, Yu Zhang, Qiuyue Luo, Caixia Deng, Guihua Tang, Jiongye Zhang, Xiangdong Zhou, Hu Luo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. The burden of low back pain in adolescents and young adults.Journal of back and musculoskeletal rehabilitation · 2024
    Article
  20. 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 at 2 institutions in 1 country.

Xinglin YiDepartment of Respiratory Medicine, Southwest Hospital of Third Military Medical University, Chongqing, China.
Yi HeDepartment of Cardiovascular Medicine Department, Southwest Hospital of Third Military Medical University, Chongqing, China.
Yu ZhangDepartment of Cardiovascular Medicine Department, Southwest Hospital of Third Military Medical University, Chongqing, China.
Qiuyue LuoDepartment of Cardiovascular Medicine Department, Southwest Hospital of Third Military Medical University, Chongqing, China.
Caixia DengDepartment of Respiratory Medicine, Southwest Hospital of Third Military Medical University, Chongqing, China.
Guihua TangDepartment of Respiratory Medicine, Southwest Hospital of Third Military Medical University, Chongqing, China.
Jiongye ZhangDepartment of Respiratory Medicine, Southwest Hospital of Third Military Medical University, Chongqing, China.
Xiangdong ZhouDepartment of Respiratory Medicine, Southwest Hospital of Third Military Medical University, Chongqing, China.
Hu LuoDepartment of Respiratory Medicine, Southwest Hospital of Third Military Medical University, Chongqing, China.
Southwest Hospital · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Silicosis, a severe lung disease caused by inhaling silica dust, predominantly affects workers in industries such as mining and construction, leading to a significant global public health challenge. The purpose of this study is to analyze the current disease burden of silicosis and to predict the development trend of silicosis in the future the world by extracting data from the GBD database. Methods: We extracted and analyzed silicosis prevalence, incidence, mortality, and disability-adjusted life years (DALYs) data from the Global Burden of Disease 2019 program for 204 countries and territories from 1990 to 2019. The association between the Sociodemographic Index (SDI) and the burden of age-standardized rates (ASRs) of DALYs has been examined at the regional level. Jointpoint regression analysis has been also performed to evaluate global burden trends of silicosis from 1990 to 2019. Furthermore, Nordpred age-period-cohort analysis has also been projected to predict future the burden of silicosis from 2019 to 2044. Results: In 2019, global ASRs for silicosis prevalence, incidence, mortality, and DALYs were 5.383, 1.650, 0.161, and 7.872%, respectively which are lower than that in 1990. The populations of 45-59 age group were more susceptible to silicosis, while those aged 80 or above suffered from higher mortality and DALY risks. In 2019, the most impacted nations by the burden of silicosis included China, the Democratic People's Republic of Korea, and Chile. From 1990 to 2019, most regions observed a declining burden of silicosis. An "M" shaped association between SDI and ASRs of DALYs for silicosis was observed from 1990 to 2019. The age-period-cohort analysis forecasted a decreasing trend of the burden of silicosis from 2019 to 2044. Conclusion: Despite the overall decline in the global silicosis burden from 1990 to 2019, some regions witnessed a notable burden of this disease, emphasizing the importance of targeted interventions. Our results may provide a reference for the subsequent development of appropriate management strategies.

Indexed as

Global Burden of DiseaseSilicosisCost of IllnessHumansMiddle AgedPrevalenceQuality-Adjusted Life Yearsage-standardized rateglobal burden of diseasejointpoint regressionpredictionsilicosis

Identifiers

PMID37521973
PMCPMC10372342
OpenAlexW4384201569

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.