Evidence map›Paper›PMID 41975317›Full record

ArticleBMC geriatrics2026

Temporal trends in tuberculosis incidence among the aging population in Southwest China: a retrospective study.

Ya Yu, Shili Xian, Deming Yang, Lihong Mu, Yutong Han, Wenjun Luo, Jiaxian An, Li Zhao, Yao Huang, Chengguo Wu and 1 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2026. 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

11 authors.

Ya Yu *Chongqing Municipal Institute of Tuberculosis, Chongqing, China.
Shili Xian *Fuling Center for Disease Control and Prevention, Chongqing, China.
Deming YangFuling Center for Disease Control and Prevention, Chongqing, China.
Lihong MuDepartment of Epidemiology, School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China.
Yutong HanDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Wenjun LuoDepartment of Epidemiology, School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China.
Jiaxian AnDepartment of Epidemiology, School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China.
Li ZhaoDepartment of Epidemiology, School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China.
Yao HuangDepartment of Epidemiology, School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China.
Chengguo WuChongqing Municipal Institute of Tuberculosis, Chongqing, China. wcguo94@163.com.
Jun FanChongqing Municipal Institute of Tuberculosis, Chongqing, China. 17540024@qq.com.

Funding

Chongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) General Program 2023MSXM143Chongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) Key Program 2023ZDXM027Chongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) Key ProgramChongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) Key Program 2023ZDXM027Chongqing Young and Middle-aged Medical High-end Talent Project YXGD202439
6 · The paper itself

Abstract

backgroundChongqing bears a substantial burden of tuberculosis, particularly among the elderly population. This study aimed to explore the epidemiological trends of pulmonary tuberculosis (PTB) among the elderly, In light of the ageing population, thereby providing a basis for the targeted prevention and control strategies for PTB in the elderly.

methodsAll notified PTB cases aged ≥ 65 years from Chongqing from 2013 to 2023 were analyzed. The Joinpoint regression model was employed to identify significant trend changes. Construct the SARIMA model and Holt-Winters exponential smoothing model, compare their forecasting performance, and select the optimal model to forecast the case burden for 2024 and 2025.

resultsFrom 2013 to 2023, a total of 57,140 cases were reported. Despite an overall declining trend in the incidence of PTB (APC = -5.47, 95% CI: -8.18 to -2.68), the incidence among the elderly remained stable. Notably, while elderly males exhibited a higher incidence, their declining trend did not reach statistical significance. Regionally, the Southeast Region showed the most significant decline in PTB incidence (2019–2023, APC = -14.94, 95% CI: -23.63 to -5.26), albeit with the highest incidence rate. Furthermore, there was a remarkable increase in the bacteriological confirmed elderly patients, with an APC of 11.54 (95% CI: 6.83 to 16.45). The SARIMA model outperformed the Holt-Winters exponential smoothing model in terms of predictive performance (MAPE: 8.33 vs. 21.45), forecasting a burden of 5783 elderly PTB cases for 2024 (95% CI: 4319 ~ 7249) and 5864 cases (95% CI: 4141 ~ 7585) for 2025.

conclusionsBetween 2013 and 2023, the reported incidence of PTB among the elderly in Chongqing remained at a relatively high level. Comprehensive measures, including active screening for case detection, standardized diagnosis and treatment, and management, should be implemented among high-risk populations such as males and those in the Southeast Region. Furthermore, adequate attention should be paid to the continuously increasing number of pathogen-positive patients observed in recent years.

Indexed as

Population SurveillanceTuberculosis, PulmonaryAgedAged, 80 and overChinaFemaleHumansIncidenceMaleRetrospective StudiesTime FactorsJoinpoint regression modelPredictionPulmonary tuberculosisThe Elderly

Identifiers

PMID41975317
PMCPMC13196182

What OpenQuestion holds

Textmetadata
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.