Evidence map›Paper›PMID 38737427›Full record

ArticleOpen forum infectious diseases2024

Noah Kiwanuka, Sarah Zalwango, Robert Kakaire, Maria Eugenia Castellanos, Trang Ho Thu Quach, Christopher C Whalen

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Noah KiwanukaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Sarah ZalwangoDepartment of Public Health and Environment, Kampala Capital City Authority, Kampala, Uganda.
Robert KakaireGlobal Health Institute, College of Public Health, University of Georgia, Athens, Georgia, USA.
Maria Eugenia CastellanosPublic Health and Tropical Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Australia.
Trang Ho Thu QuachGlobal Health Institute, College of Public Health, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-0398-9761
Christopher C WhalenGlobal Health Institute, College of Public Health, University of Georgia, Athens, Georgia, USA.

Funding

Systems Biology CoreU19AI162598 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI ALLAND, DAVID, ELLNER, JERROLD J. · 2021 to 2025
$13.9M
Capturing spatial patterns of new M. tuberculosis infection in Kampala, UgandaR01AI147319 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI BARK, CHARLES MARTYN, KIWANUKA, NOAH · 2019 to 2024
$7.3M
Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Jeffrey M Collins · 2022 to 2026
$5.8M
Community Transmission of Tuberculosis Urban AfricaR01AI093856 · NIAID · UNIVERSITY OF GEORGIA · PI WHALEN, CHRISTOPHER C. · 2012 to 2021
$5.7M
Digital Mobile Technologies to study Tuberculosis: A Multi-disciplinary ProgramD43TW012481 · FIC · UNIVERSITY OF GEORGIA · PI Juliet Nabbuye Sekandi · 2023 to 2026
$952k
FIC NIH HHS D43 TW012481NIAID NIH HHS P30 AI168386NIAID NIH HHS R01 AI093856NIAID NIH HHS R01 AI147319NIAID NIH HHS U19 AI162598
6 · The paper itself

Abstract

Background: The persistence of tuberculosis today and its global disparity send a powerful message that effective tuberculosis control must respond to its regional epidemiology. Active case finding through contact investigation is a standard protocol used for tuberculosis control, but its effectiveness has not been established, especially in endemic areas. Methods: To quantify the potential effectiveness of contact investigation in Kampala, Uganda, we used a cross-sectional design to evaluate the social networks of 123 tuberculosis index cases and 124 controls without tuberculosis. Results: Tuberculous infection was present in 515 of 989 tuberculosis case contacts (52.1%) and 396 of 1026 control contacts (38.6%; adjusted prevalence ratio, 1.4; 95% CI, 1.3-1.6). The proportion of infected participants with known exposure within the social network of the tuberculosis case was 35%. The population-attributable fraction was 11.1% for any known exposure, with 7.3% attributable to household exposure and 3.4% attributable to extrahousehold exposure. Conclusions: This low population-attributable fraction indicates that contact tracing in the social networks of index cases will have only a modest effect in reducing tuberculous infection in a community. New approaches to community-level active case finding are needed.

Indexed as

latent tuberculosis infectionpopulation-attributable fractiontuberculosistuberculosis control

Identifiers

PMID38737427
PMCPMC11083641

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.