Evidence map›Paper›PMID 23306539›Full record

ArticleAmerican journal of respiratory and critical care medicine2013

Cough aerosols of Mycobacterium tuberculosis predict new infection: a household contact study.

Edward C Jones-López, Olive Namugga, Francis Mumbowa, Martin Ssebidandi, Olive Mbabazi, Stephanie Moine, Gerald Mboowa, Matthew P Fox, Nancy Reilly, Irene Ayakaka and 4 more

Abstract readComparative Study
In one paragraph

Article in American journal of respiratory and critical care medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 4 pooled it
8.1field-weighted citation impact, top 2% 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

95 citing papers in PubMed, 4 syntheses or guidelines pooled it, 158 citations in OpenAlex.

  1. Effects of Respiratory Isolation for Tuberculosis to Reduce Community-based Transmission: A Systematic Review.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Pooled it
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  5. Trial
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  9. Review
  10. Detection of AerosolizedOpen forum infectious diseases · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Community-Based Tuberculosis Isolation Decisions Require Individualization Based on Effectiveness and Duration of Treatment, Community Risks, and Patient Harms.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  15. Differentially culturableJournal of medical microbiology · 2025
    Article
  16. Review
  17. Candidate transmission survival genome ofProceedings of the National Academy of Sciences of the United States of America · 2025
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  18. Article
  19. Review
  20. Article

35 more citing papers are in PubMed but not listed here.

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 at 6 institutions in 2 countries.

Edward C Jones-LópezSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA 02118, USA. edward.jones@bmc.org
Olive Namugga
Francis Mumbowa
Martin Ssebidandi
Olive Mbabazi
Stephanie Moine
Gerald Mboowa
Matthew P Fox
Nancy Reilly
Irene Ayakaka
Soyeon Kim
Alphonse Okwera
Moses Joloba
Kevin P Fennelly
Boston University · USMakerere University · UGInfectious Diseases Institute · UGMulago Hospital · UGRutgers, The State University of New Jersey · USUniversity of Florida · US

Funding

Rates, Predictors and Mortality Impact of Losses from HIV Care in South AfricaK01AI083097 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FOX, MATTHEW ALEXANDER PEASE · 2009 to 2013
$615k
NIAID NIH HHS K01 AI083097NIAID NIH HHS K01AI083097
6 · The paper itself

Abstract

rationaleAirborne transmission of Mycobacterium tuberculosis results from incompletely characterized host, bacterial, and environmental factors. Sputum smear microscopy is associated with considerable variability in transmission.

objectivesTo evaluate the use of cough-generated aerosols of M. tuberculosis to predict recent transmission.

methodsPatients with pulmonary tuberculosis (TB) underwent a standard evaluation and collection of cough aerosol cultures of M. tuberculosis. We assessed household contacts for new M. tuberculosis infection. We used multivariable logistic regression analysis with cluster adjustment to analyze predictors of new infection. MEASUREMENTS AND MAIN

resultsFrom May 2009 to January 2011, we enrolled 96 sputum culture-positive index TB cases and their 442 contacts. Only 43 (45%) patients with TB yielded M. tuberculosis in aerosols. Contacts of patients with TB who produced high aerosols (≥10 CFU) were more likely to have a new infection compared with contacts from low-aerosol (1-9 CFU) and aerosol-negative cases (69%, 25%, and 30%, respectively; P = 0.009). A high-aerosol patient with TB was the only predictor of new M. tuberculosis infection in unadjusted (odds ratio, 5.18; 95% confidence interval, 1.52-17.61) and adjusted analyses (odds ratio, 4.81; 95% confidence interval, 1.20-19.23). Contacts of patients with TB with no aerosols versus low and high aerosols had differential tuberculin skin test and interferon-γ release assay responses.

conclusionsCough aerosols of M. tuberculosis are produced by a minority of patients with TB but predict transmission better than sputum smear microscopy or culture. Cough aerosols may help identify the most infectious patients with TB and thus improve the cost-effectiveness of TB control programs.

Indexed as

AerosolsAdultContact TracingCoughFamily CharacteristicsFemaleHumansInterferon-gamma Release TestsLogistic ModelsMaleMycobacterium tuberculosisPredictive Value of TestsSputumTuberculin TestTuberculosis, PulmonaryAerosols

Identifiers

PMID23306539
PMCPMC3707366
OpenAlexW2096751755

What OpenQuestion holds

Textmetadata
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.