Evidence map›Paper›PMID 36452945›Full record

Observational studyFrontiers in public health2022

Global disease burden and trends of leukemia attributable to occupational risk from 1990 to 2019: An observational trend study.

Yuanfei Shi, Can Chen, Yamei Huang, Yi Xu, Dandan Xu, Huafei Shen, Xiujin Ye, Jie Jin, Hongyan Tong, Yue Yu and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

14 authors.

Yuanfei ShiDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Can ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yamei HuangDepartment of Pathology and Pathophysiology, Medical School of Southeast University, Nanjing, China.
Yi XuDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Dandan XuDepartment of Blood Transfusion, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Huafei ShenInternational Health Care Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiujin YeDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jie JinDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hongyan TongDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yue YuDepartment of Quantitative Health Science, Mayo Clinic, Rochester, MN, United States.
Xinyi TangMayo Clinic, Rochester, MN, United States.
Azhong LiZhejiang Blood Center, Hangzhou, China.
Dawei CuiDepartment of Blood Transfusion, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wanzhuo XieDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Leukemia caused by occupational risk is a problem that needs more attention and remains to be solved urgently, especially for acute lymphoid leukemia (ALL), acute myeloid leukemia (AML), and chronic lymphoid leukemia (CLL). However, there is a paucity of literature on this issue. We aimed to assess the global burden and trends of leukemia attributable to occupational risk from 1990 to 2019. Methods: This observational trend study was based on the Global Burden of Disease (GBD) 2019 database, the global deaths, and disability-adjusted life years (DALYs), which were calculated to quantify the changing trend of leukemia attributable to occupational risk, were analyzed by age, year, geographical location, and socio-demographic index (SDI), and the corresponding estimated annual percentage change (EAPC) values were calculated. Results: Global age-standardized DALYs and death rates of leukemia attributable to occupational risk presented significantly decline trends with EAPC [-0.38% (95% CI: -0.58 to -0.18%) for DALYs and -0.30% (95% CI: -0.45 to -0.146%) for death]. However, it was significantly increased in people aged 65-69 years [0.42% (95% CI: 0.30-0.55%) for DALYs and 0.38% (95% CI: 0.26-0.51%) for death]. At the same time, the age-standardized DALYs and death rates of ALL, AML, and CLL were presented a significantly increased trend with EAPCs [0.78% (95% CI: 0.65-0.91%), 0.87% (95% CI: 0.81-0.93%), and 0.66% (95% CI: 0.51-0.81%) for DALYs, respectively, and 0.75% (95% CI: 0.68-0.82%), 0.96% (95% CI: 0.91-1.01%), and 0.55% (95% CI: 0.43-0.68%) for death], respectively. The ALL, AML, and CLL were shown an upward trend in almost all age groups. Conclusion: We observed a substantial reduction in leukemia due to occupational risks between 1990 and 2019. However, the people aged 65-69 years and burdens of ALL, AML, and CLL had a significantly increased trend in almost all age groups. Thus, there remains an urgent need to accelerate efforts to reduce leukemia attributable to occupational risk-related death burden in this population and specific causes.

Indexed as

LeukemiaLeukemia, Lymphocytic, Chronic, B-CellDatabases, FactualDisability-Adjusted Life YearsGlobal Burden of DiseaseHumansALLAMLdeath rateglobal burden diseaseleukemia

Identifiers

PMID36452945
PMCPMC9703980

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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.