Evidence map›Paper›PMID 25996960›Full record

ArticlePloS one2015

The Prevalence and Incidence of Latent Tuberculosis Infection and Its Associated Factors among Village Doctors in China.

Guangxue He, Yuan Li, Fei Zhao, Lixia Wang, Shiming Cheng, Hui Guo, John D Klena, Haiying Fan, Fangfang Gao, Fei Gao and 22 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Sex and Gender Differences in Tuberculosis Pathogenesis and Treatment Outcomes.Current topics in microbiology and immunology · 2023
    Review
  8. Possible sex difference in latent tuberculosis infection risk among close tuberculosis contacts.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Observational
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  10. Review
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  20. Observational
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

32 authors at 4 institutions in 2 countries.

Guangxue HeChinese Center for Disease Control and Prevention, Beijing, China.
Yuan LiGlobal Disease Detection Branch, Division of Global Health Protection, Center for Global Health, United States Centers for Disease Control and Prevention Atlanta, Georgia, United States of America.
Fei ZhaoChinese Center for Disease Control and Prevention, Beijing, China.
Lixia WangChinese Center for Disease Control and Prevention, Beijing, China.
Shiming ChengChinese Center for Disease Control and Prevention, Beijing, China.
Hui GuoChinese Center for Disease Control and Prevention, Beijing, China.
John D KlenaGlobal Disease Detection Branch, Division of Global Health Protection, Center for Global Health, United States Centers for Disease Control and Prevention Atlanta, Georgia, United States of America.
Haiying FanChinese Center for Disease Control and Prevention, Beijing, China.
Fangfang GaoInner Mongolia Center for Tuberculosis Control and Prevention, Hohhot, China.
Fei GaoInner Mongolia Center for Tuberculosis Control and Prevention, Hohhot, China.
Guoxin HanInner Mongolia Center for Tuberculosis Control and Prevention, Hohhot, China.
Liping RenInner Mongolia Center for Tuberculosis Control and Prevention, Hohhot, China.
Yudan SongChinese Center for Disease Control and Prevention, Beijing, China.
Yongchao XiongChinese Center for Disease Control and Prevention, Beijing, China.
Mengjie GengChinese Center for Disease Control and Prevention, Beijing, China.
Yueyun HouThe Tongzhou Maternal & Child Health Hospital, Beijing, China.
Guoming HeUlanqab Center for Tuberculosis Control and Prevention, Jining, China.
Jianbo LiUlanqab Center for Tuberculosis Control and Prevention, Jining, China.
Shufang GuoUlanqab Center for Tuberculosis Control and Prevention, Jining, China.
Jun YangUlanqab Center for Tuberculosis Control and Prevention, Jining, China.
Daiqin Yanthe Bayannur for Tuberculosis Control and Prevention, Bayannur, China.
Yali Wangthe Bayannur for Tuberculosis Control and Prevention, Bayannur, China.
Haiyan Gaothe Bayannur for Tuberculosis Control and Prevention, Bayannur, China.
Jing AnLinhe District Center for Disease Control and Prevention, Bayannur, China.
Xiaoyan DuanLinhe District Center for Disease Control and Prevention, Bayannur, China.
Chunru WuHanggin Rear Banner Center for Disease Control and Prevention, Bayannur, China.
Fengming DuanHanggin Rear Banner Center for Disease Control and Prevention, Bayannur, China.
Dongmei HuChinese Center for Disease Control and Prevention, Beijing, China.
Kai LuChinese Center for Disease Control and Prevention, Beijing, China.
Yanlin ZhaoChinese Center for Disease Control and Prevention, Beijing, China.
Carol Y RaoGlobal Disease Detection Branch, Division of Global Health Protection, Center for Global Health, United States Centers for Disease Control and Prevention Atlanta, Georgia, United States of America.
Yu WangChinese Center for Disease Control and Prevention, Beijing, China.
Chinese Center For Disease Control and Prevention · CNHeilongjiang Center for Tuberculosis Control and Prevention · CNCenters for Disease Control and Prevention · USChongqing Maternal and Child Health Hospital · CN

Funding

CGH CDC HHS U2G GH000018PHS HHS 5U2GGH000018
6 · The paper itself

Abstract

backgroundChina is a high tuberculosis (TB) burden country. More than half of acute TB cases first seek medical care in village doctors' clinics or community health centers. Despite being responsible for patient referral and management, village doctors are not systematically evaluated for TB infection or disease. We assessed prevalence and incidence of latent TB infection (LTBI) among village doctors in China. METHODS AND

findingsA longitudinal study was conducted in Inner Mongolia Autonomous Region. We administered a questionnaire on demographics and risk factors for TB exposure and disease; Tuberculin skin testing (TST) and QuantiFERON-TB Gold in-tube assay (QFT-GIT) was conducted at baseline and repeated 12 months later. We used a logistic regression model to calculate adjusted odds ratios (ORs) for risk factors for TST and QFT-GIT prevalence and incidence. At the time of follow up, 19.5% of the 880 participating village doctors had a positive TST and 46.0% had a positive QFT-GIT result. Factors associated with TST prevalence included having a BCG scar (OR = 1.45, 95%CI 1.03-2.04) and smoking (OR = 1.69, 95%CI 1.17-2.44). Risk factors associated with QFT-GIT prevalence included being male (OR = 2.17, 95%CI 1.63-2.89), below college education (OR=1.42, 95%CI 1.01-1.97), and working for ≥25 years as a village doctor (OR = 1.64, 95%CI 1.12-2.39). The annual incidence of LTBI was 11.4% by TST and 19.1% by QFT-GIT. QFT-GIT conversion was associated with spending 15 minutes or more per patient on average (OR = 2.62, 95%CI 1.39-4.97) and having BCG scar (OR = 0.53, 95%CI 0.28-1.00).

conclusionsPrevalence and incidence of LTBI among Chinese village doctors is high. TB infection control measures should be strengthened among village doctors and at village healthcare settings.

Indexed as

Community Health WorkersAdultChinaFemaleHumansIncidenceInterferon-gamma Release TestsLatent TuberculosisLongitudinal StudiesMaleMiddle AgedOdds RatioPrevalenceRisk FactorsTuberculin TestYoung Adult

Identifiers

PMID25996960
PMCPMC4440671
OpenAlexW2106674099

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.