Evidence map›Paper›PMID 38012266›Full record

ArticleScientific reports2023

Tuberculosis testing patterns in South Africa to identify groups that would benefit from increased investigation.

Anne N Shapiro, Lesley Scott, Harry Moultrie, Karen R Jacobson, Jacob Bor, Abdou M Fofana, Graeme Dor, Norbert O Ndjeka, Pedro da Silva, Koleka Mlisana and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

12 authors at 5 institutions in 2 countries.

Anne N ShapiroDepartment of Biostatistics, Boston University School of Public Health, Boston, USA. anshap@bu.edu.
Lesley ScottWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Harry MoultrieCentre for Tuberculosis, A division of the National Health Laboratory Services, National Institute for Communicable Diseases, Johannesburg, South Africa.
Karen R JacobsonDivision of Infectious Diseases, Boston Medical Center, Boston, USA.
Jacob BorDepartment of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand, Johannesburg, South Africa.
Abdou M FofanaDepartment of Biostatistics, Boston University School of Public Health, Boston, USA.
Graeme DorDepartment of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand, Johannesburg, South Africa.
Norbert O NdjekaNational Department of Health, Cape Town, South Africa.
Pedro da SilvaNational Health Laboratory Service, National Priority Program, Johannesburg, South Africa.
Koleka MlisanaNational Health Laboratory Service, National Priority Program, Johannesburg, South Africa.
Helen E Jenkins *Department of Biostatistics, Boston University School of Public Health, Boston, USA.
Wendy S Stevens *Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand, Johannesburg, South Africa.
Boston University · USNational Health Laboratory Service · ZAUniversity of the Witwatersrand · ZANational Institute for Communicable DiseasesWestern Cape Department of Health · ZA

Funding

Evaluating the tuberculosis epidemic in South Africa using a novel ten-year cohortR01AI152126 · NIAID · WITS HEALTH CONSORTIUM (PTY), LTD · PI JENKINS, HELEN E., SCOTT, LESLEY · 2020 to 2024
$1.6M
NIAID NIH HHS R01 AI152126
6 · The paper itself

Abstract

The National Health Laboratory Service (NHLS) collects all public health laboratory test results in South Africa, providing a cohort from which to identify groups, by age, sex, HIV, and viral suppression status, that would benefit from increased tuberculosis (TB) testing. Using NHLS data (2012-2016), we assessed levels and trends over time in TB diagnostic tests performed (count and per capita) and TB test positivity. Estimates were stratified by HIV status, viral suppression, age, sex, and province. We used logistic regression to estimate the odds of testing positive for TB by viral suppression status. Nineteen million TB diagnostic tests were conducted during period 2012-2016. Testing per capita was lower among PLHIV with viral suppression than those with unsuppressed HIV (0.08 vs 0.32) but lowest among people without HIV (0.03). Test positivity was highest among young adults (aged 15-35 years), males of all age groups, and people with unsuppressed HIV. Test positivity was higher for males without laboratory evidence of HIV than those with HIV viral suppression, despite similar individual odds of TB. Our results are an important national baseline characterizing who received TB testing in South Africa. People without evidence of HIV, young adults, and males would benefit from increased TB screening given their lower testing rates and higher test positivity. These high-test positivity groups can be used to guide future expansions of TB screening.

Indexed as

HIV InfectionsTuberculosisHumansLogistic ModelsMaleMass ScreeningSouth AfricaYoung Adult

Identifiers

PMID38012266
PMCPMC10682361
OpenAlexW4389040001

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.