Evidence map›Paper›PMID 40434512›Full record

ArticleAging clinical and experimental research2025

The impact of population aging on tuberculosis prevention and control in Shanghai: a prediction based on age-period-cohort models.

Rong Du, Lixin Rao, Xiao Xiao, Qi Zhao, Xin Shen, Biao Xu

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Rong DuDepartment of Epidemiology, School of Public Health, Fudan University, 130 Dongan Road, Shanghai, 200032, China.ORCID https://orcid.org/0009-0008-3750-5666
Lixin RaoDivision of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai, 200336, China.
Xiao XiaoDivision of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai, 200336, China.
Qi ZhaoDepartment of Epidemiology, School of Public Health, Fudan University, 130 Dongan Road, Shanghai, 200032, China. zhaoqi@shmu.edu.cn.ORCID https://orcid.org/0000-0003-0140-3920
Xin ShenDivision of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, 1380 Zhongshan West Road, Shanghai, 200336, China. shenxin@scdc.sh.cn.
Biao XuDepartment of Epidemiology, School of Public Health, Fudan University, 130 Dongan Road, Shanghai, 200032, China.ORCID https://orcid.org/0000-0001-8695-7396

Funding

Shanghai Municipal Health Commission GWVI-11.1-05Shanghai Municipal Health Commission GWVI-11.2-YQ16Shanghai Municipal Health Commission GWVI-9
6 · The paper itself

Abstract

backgroundThe number and proportion of people aged 65 and above in Shanghai are increasing, posing challenges to tuberculosis (TB) control. This study aims to assess the impact of this demographic change on the TB epidemic in Shanghai.

methodsData were obtained from the TB Information Management System, with case counts and notification rates calculated by gender, age, and year. TB notification rates and trends were analyzed under two demographic scenarios: a constant aging scenario and an increasing aging scenario. Grey models (GM (1,1)) and age-period-cohort (APC) models were employed to forecast changes in the elderly population as well as age-specific TB notification rates. The estimated annual percentage change (EAPC) quantified trends over time.

resultsFrom 2015 to 2023, a total of 29,694 TB cases were reported, with males accounting for 69.79%. In 2023, the notification rate was 19.55 per 100,000, with the highest rate observed among individuals aged 65 years and older, reaching 48.47 per 100,000. The proportion of older adults among TB patients increased annually. Predictions indicated a peak notification rate among those aged 70-79 over the next five years. Compared to the constant aging scenario, the increasing aging scenario was associated with a more moderate reduction in TB notification rates (34.49% vs. 42.81%) and a slower declining trend over the study period (EAPC = -3.50, 95% CI: -4.70 to -2.29 vs. EAPC = -4.45, 95% CI: -5.47 to -3.42).

conclusionPopulation aging poses challenges to TB control, highlighting the need for targeted strategies for older adults.

Indexed as

AgingTuberculosisAdultAgedAged, 80 and overAge FactorsChinaCohort StudiesFemaleHumansMaleMiddle AgedYoung AdultAge-period-cohort modelingEpidemiologyPopulation agingTuberculosis

Identifiers

PMID40434512
PMCPMC12119648

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LicenceCC BY-NC-ND
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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.