Evidence map›Paper›PMID 32005290›Full record

ArticleInfectious diseases of poverty2020

Incidence and risk factors of tuberculosis among the elderly population in China: a prospective cohort study.

Jun Cheng, Yan-Ni Sun, Can-You Zhang, Yan-Ling Yu, Li-Hong Tang, Hong Peng, Ying Peng, Yu-Xia Yao, Shuang-Yi Hou, Jian-Wei Li and 7 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 pooled it
1.0field-weighted citation impact, top 14% 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

48 citing papers in PubMed, 4 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Undernutrition as a risk factor for tuberculosis disease.The Cochrane database of systematic reviews · 2024
    Pooled it
  3. Pooled it
  4. Active Case Finding for Tuberculosis in Migrants: a Systematic Review.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2024
    Pooled it
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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

17 authors at 11 institutions in 1 country.

Jun ChengNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yan-Ni SunNational Center for Population Health and Epidemiology, Canberra, Australia.
Can-You ZhangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yan-Ling YuHeilongjiang Provincial Center for Disease Control and Prevention, Harbin, China.
Li-Hong TangMinhang District Center for Disease Control and Prevention, Shanghai, China.
Hong PengJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Ying PengZhejiang Provincial Center for Disease Control and prevention, Hangzhou, China.
Yu-Xia YaoHenan Provincial Center for Disease control and prevention, Zhengzhou, China.
Shuang-Yi HouHubei Provincial Center for Disease Control and Prevention, Wuhan, China.
Jian-Wei LiCenter for Tuberculosis Control of Guangdong Province, Guangzhou, China.
Jin-Ming ZhaoGuangXi Center for Disease Prevention and Control, Nanning, China.
Lan XiaSichuan Provincial Center for Disease Control and Prevention, Chengdu, China.
Lin XuYunnan Provincial Center for Disease Control and Prevention, Kunming, China.
Yin-Yin XiaNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Fei ZhaoNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Li-Xia WangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. wanglx@chinacdc.cn.
Hui ZhangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. zhanghui@chinacdc.cn.
Chinese Center For Disease Control and Prevention · CNCenter for Tuberculosis Control of Guangdong Province · CNGuangxi Center for Disease Prevention and Control · CNHeilongjiang Center for Tuberculosis Control and Prevention · CNHenan Provincial Center for Disease Control and Prevention · CNHubei Provincial Center for Disease Control and Prevention · CNJiangsu Provincial Center for Disease Control and Prevention · CNShanghai Municipal Center For Disease Control Prevention · CNSichuan Center for Disease Control and Prevention · CNYunnan Center for Disease Control And Prevention · CNZhejiang Center for Disease Control and Prevention · CN

Funding

The National Twelfth Five-year Mega-Scientific Projects of infectious diseases of China 2013ZX10003004-001
6 · The paper itself

Abstract

backgroundChina is facing challenges of the shifting presentation of tuberculosis (TB) from younger to elderly due to an ageing population, longer life expectancy and reactivation disease. However, the burden of elderly TB and influence factors are not yet clear. To fill the gap, we generated a cohort study to measure the magnitude of TB incidence and associated factors among the elderly population aged 65 years and above in China.

methodsIn this cohort established in 2013 through a prevalence survey conducted in selected sites, a total of 34 076 elderlies without TB were enrolled into two-year follow-up. We used both active and passive case findings to find out all TB patients among them. The person-year (PY) incidence rates for both bacteriologically positive TB and active TB were calculated. Cox proportional regression model was performed to test effect of risk factors, and the population attributable fraction (PAF) of each risk factor contributing to incident TB among elderlies was calculated.

resultsOver the two-year follow-up period, a total of 215 incident active TB were identified, 62 of which were bacteriologically positive. The incidence rates for active TB and bacteriologically positive TB were 481.8 per 100 000 PY (95% CI: 417.4-546.2 per 100 000 PY) and 138.9 per 100 000 PY (95% CI: 104.4-173.5 per 100 000 PY), respectively. Incident cases detected by active case finding were significantly higher (P < 0.001). Male, non-Han nationality, previously treated TB, ex/current smoker and body mass index (BMI) < 18.5 presented as independent predictors for developing TB disease. For developing bacteriologically positive TB, the biggest contribution was from self-reported ex or current smoker (18.06%). And, for developing active TB, the biggest contribution was from non-Han nationality (35.40%), followed by male (26.80%) and age at 75 years and above (10.85%).

conclusionsAgeing population in China had a high TB incidence rate and risk to develop TB disease, implying that National TB Program (NTP) needs to prioritize for elderly. Active case finding should be applied capture more active TB cases among this particular population, especially for male, non-Han nationality, and those with identified risk factors.

Indexed as

AgedAged, 80 and overChinaHumansIncidenceProspective StudiesRisk FactorsTuberculosisActive case findingChinaElderly tuberculosisFollow upIncidenceRisk factorTuberculosis

Identifiers

PMID32005290
PMCPMC6995187
OpenAlexW3003356889

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.