Evidence map›Paper›PMID 35872098›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

The impact of HIV and tuberculosis interventions on South African adult tuberculosis trends, 1990-2019: a mathematical modeling analysis.

Mmamapudi Kubjane, Muhammad Osman, Andrew Boulle, Leigh F Johnson

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 29 citations in OpenAlex.

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  9. Temporal trends in tuberculosis and time from enrolment in care to antiretroviral therapy initiation: A multicountry cohort study from Latin America.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
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  16. For Tuberculosis, Not "To Screen or Not to Screen?" but "Who?" and "How?"Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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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

4 authors at 3 institutions in 2 countries.

Mmamapudi KubjaneCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa. Electronic address: kbjmma001@myuct.ac.za.
Muhammad OsmanDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Health Sciences, Stellenbosch University, Cape Town, South Africa; School of Human Sciences, Faculty of Education, Health and Human Sciences, University of Greenwich, London, United Kingdom.
Andrew BoulleCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa; Western Cape Provincial Department of Health, Cape Town, South Africa.
Leigh F JohnsonCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa. Electronic address: leigh.johnson@uct.ac.za.
University of Cape Town · ZADesmond Tutu HIV Foundation · ZAWestern Cape Department of Health · ZA

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

objectivesTo quantify the South African adult tuberculosis (TB) incidence and mortality attributable to HIV between 1990 and 2019 and to estimate the reduction in TB incidence due to directly observed therapy, antiretroviral therapy (ART), isoniazid preventive therapy, increased TB screening, and Xpert MTB/RIF.

methodsWe developed a dynamic TB transmission model for South Africa. A Bayesian approach was used to calibrate the model to South African-specific data sources. Counterfactual scenarios were simulated to estimate TB incidence and mortality attributable to HIV and the impact of interventions on TB incidence.

resultsBetween 1990 and 2019, 8.8 million (95% confidence interval [CI] 8.3-9.3 million) individuals developed TB, and 2.1 million (95% CI 2.0-2.2 million) died from TB. A total of 55% and 69% of TB cases and mortality were due to HIV, respectively. Overall, TB screening and ART substantially reduced TB incidence by 28.2% (95% CI 26.4-29.8%) and 20.0% (95% CI 19.2-20.7%), respectively, in 2019; other interventions had minor impacts.

conclusionHIV has dramatically increased TB incidence and mortality in South Africa. The provision of ART and intensification of TB screening explained most recent declines in TB incidence.

Indexed as

HIV InfectionsTuberculosisAdultBayes TheoremHumansIncidenceIsoniazidSouth AfricaIsoniazidHuman immunodeficiency virusMathematical modelingSouth AfricaTuberculosisTuberculosis programmatic interventions

Identifiers

PMID35872098
PMCPMC9439958
OpenAlexW4286512864

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.