Evidence map›Paper›PMID 29273539›Full record

ArticleThe Lancet. Respiratory medicine2018

Effectiveness of WHO's pragmatic screening algorithm for child contacts of tuberculosis cases in resource-constrained settings: a prospective cohort study in Uganda.

Leonardo Martinez, Ye Shen, Andreas Handel, Srijita Chakraburty, Catherine M Stein, LaShaunda L Malone, W Henry Boom, Frederick D Quinn, Moses L Joloba, Christopher C Whalen and 1 more

Open access · greenAbstract read
In one paragraph

Article in The Lancet. Respiratory medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Yield and Efficiency of a Population-Based Mass Tuberculosis Screening Intervention Among Persons With Diabetes in Jiangsu Province, China.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Public Health Impact and Cost-Effectiveness of Screening for Active Tuberculosis Disease or Infection Among Children in South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Vitamin D Concentrations in Infancy and the Risk of Tuberculosis Disease in Childhood: A Prospective Birth Cohort in Cape Town, South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  13. Article
  14. Tuberculosis: First in Flight.American journal of respiratory and critical care medicine · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Contacts of underserved tuberculosis patients have higher odds of TB disease in North West England: a cohort study.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Leonardo MartinezDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA; Institute of Global Health, University of Georgia, Athens, GA, USA; Division of Infectious Diseases and Geographic Medicine, School of Medicine, Stanford University, Stanford, CA, USA. Electronic address: leomarti@stanford.edu.
Ye ShenDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA.
Andreas HandelDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA.
Srijita ChakraburtyDepartment of Computer Sciences, University of Georgia, Athens, GA, USA.
Catherine M SteinDepartment of Population and Quantitative Health Sciences, Tuberculosis Research Unit & Department of Medicine, Case Western Reserve University, Cleveland, OH, USA; Uganda-CWRU Research Collaboration, Makerere University and Mulago Hospital, Kampala, Uganda.
LaShaunda L MaloneDivision of Infectious Disease, Department of Medicine and Tuberculosis Research Unit, Case Western Reserve University, Cleveland, OH, USA; Uganda-CWRU Research Collaboration, Makerere University and Mulago Hospital, Kampala, Uganda.
W Henry BoomDivision of Infectious Disease, Department of Medicine and Tuberculosis Research Unit, Case Western Reserve University, Cleveland, OH, USA; Uganda-CWRU Research Collaboration, Makerere University and Mulago Hospital, Kampala, Uganda.
Frederick D QuinnUniversity of Georgia, Department of Veterinary Medicine, Athens, GA, USA.
Moses L JolobaDepartment of Immunology/Molecular Biology and Department of Medical Microbiology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
Christopher C WhalenDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA; Institute of Global Health, University of Georgia, Athens, GA, USA.
Sarah ZalwangoUganda-CWRU Research Collaboration, Makerere University and Mulago Hospital, Kampala, Uganda.
University of Georgia · USMulago Hospital · UGCase Western Reserve University · USMakerere University · UGStanford University · US

Funding

WG3: HIV, Co-infections and Co-morbiditiesP30AI036219 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI Sharon L. Hillier, JONATHAN KARN · 1994 to 2026
$50.0M
TUBERCULOSIS INTERNATIONAL TRAINING AND RESEARCH PROGRAMD43TW000010 · FIC · JOHNS HOPKINS UNIVERSITY · PI BEYRER, CHRISTOPHER C. · 1988 to 2012
$19.8M
TRAINING IN HIV-RELATED MALIGNANCIESD43TW000011 · FIC · CASE WESTERN RESERVE UNIVERSITY · PI WHALEN, CHRISTOPHER C. · 1988 to 2012
$10.9M
Community Transmission of Tuberculosis Urban AfricaR01AI093856 · NIAID · UNIVERSITY OF GEORGIA · PI WHALEN, CHRISTOPHER C. · 2012 to 2021
$5.7M
Tuberculosis Prevention Research Unit /TBRU/-266095383N01AI095383 · NIAID · CASE WESTERN RESERVE UNIVERSITY · 2000 to 2005
$5.6M
FIC NIH HHS D43 TW000010FIC NIH HHS D43 TW000011NIAID NIH HHS N01 AI070022NIAID NIH HHS N01 AI095383NIAID NIH HHS P30 AI036219NIAID NIH HHS R01 AI093856
6 · The paper itself

Abstract

backgroundTuberculosis is a leading cause of global childhood mortality; however, interventions to detect undiagnosed tuberculosis in children are underused. Child contact tracing has been widely recommended but poorly implemented in resource-constrained settings. WHO has proposed a pragmatic screening approach for managing child contacts. We assessed the effectiveness of this screening approach and alternative symptom-based algorithms in identifying secondary tuberculosis in a prospectively followed cohort of Ugandan child contacts.

methodsWe identified index patients aged at least 18 years with microbiologically confirmed pulmonary tuberculosis at Old Mulago Hospital (Kampala, Uganda) between Oct 1, 1995, and Dec 31, 2008. Households of index patients were visited by fieldworkers within 2 weeks of diagnosis. Coprevalent and incident tuberculosis were assessed in household contacts through clinical, radiographical, and microbiological examinations for 2 years. Disease rates were compared among children younger than 16 years with and without symptoms included in the WHO pragmatic guideline (presence of haemoptysis, fever, chronic cough, weight loss, night sweats, and poor appetite). Symptoms could be of any duration, except cough (>21 days) and fever (>14 days). A modified WHO decision-tree designed to detect high-risk asymptomatic child contacts was also assessed, in which all asymptomatic contacts were classified as high risk (children younger than 3 years or immunocompromised [HIV-infected]) or low risk (aged 3 years or older and immunocompetent [HIV-negative]). We also assessed a more restrictive algorithm (ie, assessing only children with presence of chronic cough and one other tuberculosis-related symptom).

findingsOf 1718 household child contacts, 126 (7%) had coprevalent tuberculosis and 24 (1%) developed incident tuberculosis, diagnosed over the 2-year study period. Of these 150 cases of tuberculosis, 95 (63%) were microbiologically confirmed with a positive sputum culture. Using the WHO approach, 364 (21%) of 1718 child contacts had at least one tuberculosis-related symptom and 85 (23%) were identified as having coprevalent tuberculosis, 67% of all coprevalent cases detected (diagnostic odds ratio 9·8, 95% CI 6·8-14·5; p<0·0001). 1354 (79%) of 1718 child contacts had no symptoms, of whom 41 (3%) had coprevalent tuberculosis. The WHO approach was effective in contacts younger than 5 years: 70 (33%) of 211 symptomatic contacts had coprevalent disease compared with 23 (6%) of 367 asymptomatic contacts (p<0·0001). This approach was also effective in contacts aged 5 years and older: 15 (10%) of 153 symptomatic contacts had coprevalent disease compared with 18 (2%) of 987 asymptomatic contacts (p<0·0001). More coprevalent disease was detected in child contacts recommended for screening when the study population was restricted by HIV-serostatus (11 [48%] of 23 symptomatic HIV-seropositive child contacts vs two [7%] of 31 asymptomatic HIV-seropositive child contacts) or to only culture-confirmed cases (47 [13%] culture confirmed cases of 364 symptomatic child contacts vs 29 [2%] culture confirmed cases of 1354 asymptomatic child contacts). In the modified algorithm, high-risk asymptomatic child contacts were at increased risk for coprevalent disease versus low-risk asymptomatic contacts (14 [6%] of 224 vs 27 [2%] of 1130; p=0·0021). The presence of tuberculosis infection did not predict incident disease in either symptomatic or asymptomatic child contacts: in symptomatic contacts, eight (5%) of 169 infected contacts and six (5%) of 111 uninfected contacts developed incident tuberculosis (p=0·80). Among asymptomatic contacts, incident tuberculosis occurred in six (<1%) of 795 contacts infected at baseline versus four (<1%) of 518 contacts uninfected at baseline, respectively (p=1·00).

interpretationWHO's pragmatic, symptom-based algorithm was an effective case-finding tool, especially in children younger than 5 years. A modified decision-tree identified 6% of asymptomatic child contacts at high risk for subclinical disease. Increasing the feasibility of child-contact tracing using these approaches should be encouraged to decrease tuberculosis-related paediatric mortality in high-burden settings, but this should be partnered with increasing access to microbiological point-of-care testing.

fundingNational Institutes of Health, Tuberculosis Research Unit, AIDS International Training and Research Program of the Fogarty International Center, and the Center for AIDS Research.

Indexed as

Family CharacteristicsAdultAge DistributionAlgorithmsChildChild, PreschoolDecision TreesFemaleHIV SeropositivityHumansLatent TuberculosisMaleMass ScreeningPovertyPractice Guidelines as TopicProspective Studies

Identifiers

PMID29273539
PMCPMC5876110
OpenAlexW2779336155

What OpenQuestion holds

Textmetadata
LicenceTDM
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.