Evidence map›Paper›PMID 40027502›Full record

ArticleFrontiers in public health2025

Age-period-cohort analysis and prediction of tuberculosis trends in China-based on the Global Burden of Disease 2021 data.

Zhifei Chen, Xiaodie Chen, Minli Chang, Dongmei Lu, Liping Zhang, Yanling Zheng

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Tuberculosis: An Ongoing Global Threat.Advances in experimental medicine and biology · 2026
    Review
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

6 authors.

Zhifei ChenCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China.
Xiaodie ChenSchool of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China.
Minli ChangSchool of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China.
Dongmei LuCenter of Pulmonary and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Liping ZhangCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China.
Yanling ZhengCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study explores the epidemic trend of tuberculosis (TB) in China from 1990 to 2021, analyzes its relationship with age-period-cohort factors from 1992 to 2021, and predicts the development trend of TB in China from 2022 to 2046. Methods: Annual Percent Change (APC), Average Annual Percent Change (AAPC) and 95% confidence interval ( Results: In 2021, it is estimated that there are 617,700 incidence cases of TB, 37,300 deaths and 1,375,500 DALYs cases in China, and the corresponding number of male cases is higher than that of female cases. From 1990 to 2021, the number of TB incidence, deaths and DALYs, as well as ASIR, ASDR and ASR of DALYs in China decreased year by year. The AAPC of ASIR, ASDR and ASR of DALYs were -3.33, -7.28% and -6.77%, respectively, all Conclusion: The APC model shows that the earlier the contemporary people are born, the older the age, the higher the risk of disease. APC and BAPC models predict that the ASR of TB in China will decrease year by year, but men and the older adult are still at high risk of TB burden in China. It is recommended to strengthen the screening of TB patients in key populations, especially in the older adult.

Indexed as

Global Burden of DiseaseTuberculosisAdolescentAdultAgedAge FactorsBayes TheoremChildChild, PreschoolChinaCohort StudiesDisability-Adjusted Life YearsFemaleHumansIncidenceInfantAPC modelBAPC modelJoinpoint regression modelpredictiontuberculosis

Identifiers

PMID40027502
PMCPMC11868063

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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.