Evidence map›Paper›PMID 30921451›Full record

ArticlePloS one2019

Findings from a pilot project to assess the feasibility of active tuberculosis case finding among seniors in rural Sichuan Province, China, 2017.

Canyou Zhang, Lan Xia, Jeanette J Rainey, Yuan Li, Chuang Chen, Zhengyuan Rao, Jinchao Duan, Hongying Sun, Jie Cao, Ping Liu and 4 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Ending Tuberculosis in Older People: New Strategies for an Age-old Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  3. Review
  4. Article
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.

Canyou ZhangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0003-1819-5347
Lan XiaSichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Jeanette J RaineyDivision of Global Health Protection, United States Centers for Disease Control and Prevention, Beijing, China.
Yuan LiDivision of Global Health Protection, United States Centers for Disease Control and Prevention, Beijing, China.
Chuang ChenSichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Zhengyuan RaoSichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Jinchao DuanMianyang Center for Disease Control and Prevention, Mianyang, Sichuan, China.
Hongying SunMianyang Center for Disease Control and Prevention, Mianyang, Sichuan, China.
Jie CaoJiangyou Center for Disease Control and Prevention, Jiangyou, Mianyang, Sichuan, China.
Ping LiuJiangyou Center for Disease Control and Prevention, Jiangyou, Mianyang, Sichuan, China.
Jun ChengNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hui ZhangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianlin WuSichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Lixia WangNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

CGH CDC HHS U2G GH000018
6 · The paper itself

Abstract

backgroundChina has a substantial tuberculosis (TB) disease burden and an aging population. Seniors have a higher risk of developing TB disease compared to younger age groups. Active case finding (ACF) could help identify seniors with TB disease.

methodsFrom March to June 2017, we included ACF during annual physical check-ups for persons aged ≥ 65 years in Bayi, Sichuan Province. Seniors with clinical TB symptoms (i.e., cough lasting ≥ 2 weeks and/or hemoptysis) or one or more risk factors (e.g., previous TB disease, diabetes, and heavy alcohol consumption) were offered chest x-rays. We used acid-Fast Bacilli smear and solid culture laboratory testing for TB confirmation. We calculated the yield (i.e., cases identified among seniors screened) and cost per new each TB case detected. Focus group-interviews were conducted with health care workers and seniors to evaluate project acceptability. Participation rates and acceptability were used to assess feasibility.

resultsOf the 2,393 seniors residing in Bayi, 2,049 (85.6%) were enrolled in the pilot project. Of these seniors, 794 (38.7%) presented with at least one TB risk factor and 74 (3.6%) had symptoms consistent with active TB disease. Three seniors (0.2%)-each presenting with at least one risk factor-were diagnosed with active TB. The project yielded 146 TB cases per 100,000 seniors screened; the cost per case detected was $4,897. Most workers supported ACF if additional resources and staff could be provided. Seniors appreciated the convenience of this integrated health service approach.

conclusionsAlthough the yield was lower than expected, ACF appeared feasible in Bayi. Targeting seniors with at least one known TB risk factor could help detect previously unidentified TB cases. However, similar projects in communities with a higher TB prevalence are needed to further evaluate the yield and required resources prior to implementation on a larger scale. Findings from our pilot project should be combined with data from these future ACF projects to improve TB screening criteria.

Indexed as

AgedAged, 80 and overChinaFeasibility StudiesFemaleHumansMalePilot ProjectsRural PopulationTuberculosis, Pulmonary

Identifiers

PMID30921451
PMCPMC6438508

What OpenQuestion holds

Textmetadata
LicenceCC0
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.