Evidence map›Paper›PMID 31661031›Full record

ArticleInfectious diseases of poverty2019

Role of community-based active case finding in screening tuberculosis in Yunnan province of China.

Jin-Ou Chen, Yu-Bing Qiu, Zulma Vanessa Rueda, Jing-Long Hou, Kun-Yun Lu, Liu-Ping Chen, Wei-Wei Su, Li Huang, Fei Zhao, Tao Li and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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

5 · Who and what money

Authors and funding

11 authors.

Jin-Ou ChenDivision of tuberculosis control and prevention, Yunnan Center for Disease Control and Prevention, Kunming, China.
Yu-Bing QiuDivision of tuberculosis control and prevention, Yunnan Center for Disease Control and Prevention, Kunming, China.
Zulma Vanessa RuedaUniversidad Pontificia Bolivariana, Medellín, Colombia.
Jing-Long HouDivision of tuberculosis control and prevention, Yunnan Center for Disease Control and Prevention, Kunming, China.
Kun-Yun LuDivision of tuberculosis control and prevention, Yunnan Center for Disease Control and Prevention, Kunming, China.
Liu-Ping ChenDivision of tuberculosis control and prevention, Yunnan Center for Disease Control and Prevention, Kunming, China.
Wei-Wei SuDivision of tuberculosis control and prevention, Yunnan Center for Disease Control and Prevention, Kunming, China.
Li HuangDivision of tuberculosis control and prevention, Yunnan Center for Disease Control and Prevention, Kunming, China.
Fei ZhaoClinical trail and research center of Beijing hospital, Beijing, China.
Tao LiChinese Center for Disease Control and Prevention, Beijing, China.
Lin XuDivision of tuberculosis control and prevention, Yunnan Center for Disease Control and Prevention, Kunming, China. xulinth@hotmail.com.

Funding

STUDIES ON THE INCORPORATION OF FALSE MELANIN PRECURSORSF05TW004001 · FIC · JOHNS HOPKINS UNIVERSITY · PI DWORZANSKI, JACEK P · 1987 to 1987
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The National Twelfth Five-year Mega-Scientific Projects of Infectious Diseases (CN) 2013ZX10003-004-001
6 · The paper itself

Abstract

backgroundThe barriers to access diagnosis and receive treatment, in addition to insufficient case identification and reporting, lead to tuberculosis (TB) spreads in communities, especially among hard-to-reach populations. This study evaluated a community-based active case finding (ACF) strategy for the detection of tuberculosis cases among high-risk groups and general population in China between 2013 and 2015.

methodsThis retrospective cohort study conducted an ACF in ten communities of Dongchuan County, located in northeast Yunnan Province between 2013 and 2015; and compared to 136 communities that had passive case finding (PCF). The algorithm for ACF was: 1) screen for TB symptoms among community enrolled residents by home visits, 2) those with positive symptoms along with defined high-risk groups underwent chest X-ray (CXR), followed by sputum microscopy confirmation. TB incidence proportion and the number needed to screen (NNS) to detect one case were calculated to evaluate the ACF strategy compared to PCF, chi-square test was applied to compare the incidence proportion of TB cases' demography and the characteristics for detected cases under different strategies. Thereafter, the incidence rate ratio (IRR) and multiple Fisher's exact test were applied to compare the incidence proportion between general population and high-risk groups. Patient and diagnostic delays for ACF and PCF were compared by Wilcoxon rank sum test.

resultsA total of 97 521 enrolled residents were visited with the ACF cumulatively, 12.3% were defined as high-risk groups or had TB symptoms. Sixty-six new TB patients were detected by ACF. There was no significant difference between the cumulative TB incidence proportion for ACF (67.7/100000 population) and the prevalence for PCF (62.6/100000 population) during 2013 to 2015, though the incidence proportion in ACF communities decreased after three rounds active screening, concurrent with the remained stable prevalence in PCF communities. The cumulative NNS were 34, 39 and 29 in HIV/AIDS infected individuals, people with positive TB symptoms and history of previous TB, respectively, compared to 1478 in the general population. The median patient delay under ACF was 1 day (Interquartile range, IQR: 0-27) compared to PCF with 30 days (IQR: 14-61).

conclusionsThis study confirmed that massive ACF was not effective in general population in a moderate TB prevalence setting. The priority should be the definition and targeting of high-risk groups in the community before the screening process is launched. The shorter time interval of ACF between TB symptoms onset and linkage to healthcare service may decrease the risk of TB community transmission. Furthermore, integrated ACF strategy in the National Project of Basic Public Health Service may have long term public health impact.

Indexed as

AdolescentAdultAgedChinaCohort StudiesCommunity ParticipationFemaleHumansIncidenceMaleMass ScreeningMiddle AgedPrevalenceRetrospective StudiesTuberculosisYoung AdultActive case findingDiagnosisPassive case findingPatient delayTuberculosis

Identifiers

PMID31661031
PMCPMC6819334

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.