Evidence map›Paper›PMID 42085271›Full record

ArticleAmerican journal of respiratory and critical care medicine2026

Cost-effectiveness of community tuberculosis screening in South Africa.

Julie N Deleger, S Nazanin Khatami, Michelle Jones, Mohammad S Jalali, A David Paltiel, Emily B Wong, Grady Florance, Kenneth A Freedberg, Robin Wood, C Robert Horsburgh and 1 more

Abstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Cost-effectiveness of community tuberculosis screening in South Africa.American journal of respiratory and critical care medicine · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Julie N DelegerMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.
S Nazanin KhatamiMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.
Michelle JonesMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0003-2416-5769
Mohammad S JalaliInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0001-6769-2732
A David PaltielPublic Health Modeling Unit, Yale School of Public Health, New Haven, CT, United States.
Emily B WongAfrica Health Research Institute, Durban, South Africa.ORCID 0000-0003-4755-5380
Grady FloranceMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.
Kenneth A FreedbergMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.
Robin WoodDesmond Tutu Health Foundation, Cape Town, South Africa.ORCID 0000-0002-4276-7117
C Robert HorsburghDepartments of Epidemiology, Biostatistics, Global Health and Medicine, School of Public Health and School of Medicine, Boston University, Boston, MA, United States.
Krishna P ReddyMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0002-1832-2193

Funding

Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
Novel Methods to Inform HIV/TB Clinical Trial DevelopmentR01AI093269 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI REDDY, KRISHNA P · 2011 to 2024
$6.8M
Optimizing HIV Care in Less Developed CountriesR37AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2018 to 2024
$6.6M
Burroughs-Wellcome Fund 1022002NIAID NIH HHS R01 AI058736NIAID NIH HHS R01 AI093269NIAID NIH HHS R37 AI058736NIH HHSWellcome Trust
6 · The paper itself

Abstract

rationaleThe World Health Organization recommends community-based tuberculosis active case finding using digital chest radiography with computer-aided detection (dCXR/CAD) and/or molecular diagnostics, but clinical and economic outcomes are unclear.

objectiveTo evaluate the cost-effectiveness of community-based tuberculosis screening strategies in South Africa.

methodsUsing a microsimulation model, we evaluated 3 symptom-agnostic screening strategies among adult people without HIV (PWoH) and people with HIV (PWH): (1) No Screening; (2) sputum Xpert Ultra (Xpert); and (3) dCXR/CAD followed by confirmatory sputum Xpert (dCXR + Xpert). Base case tuberculosis prevalence was 0.64%-1.23%. Sensitivity/specificity/cost for dCXR/CAD were 77%-90%/65%-73%/$3.55; for Xpert Ultra, they were 69%-91%/98%-99%/$15.24. Model outcomes included life-years, costs, and incremental cost-effectiveness ratios (ICERs) (<$3000/year-of-life saved [YLS] considered cost-effective). We conducted sensitivity analysis around key parameters, including test sensitivity, specificity, and cost. MEASUREMENTS AND MAIN

resultsIn the base case, Xpert identifies the most individuals with tuberculosis but produces the most false positives and highest costs. Compared to Xpert, dCXR + Xpert identifies ∼13% fewer individuals with tuberculosis while decreasing screening costs by ∼45%. Given base case performance characteristics, at the lifetime horizon, dCXR + Xpert is cost-effective (ICER $610/YLS) whereas Xpert is not (ICER $3460/YLS). dCXR + Xpert remains cost-effective relative to No Screening, unless tuberculosis prevalence (PWoH/PWH) is ≤0.15%/0.45%, dCXR/CAD sensitivity is (PWoH/PWH) ≤ 20%/10%, dCXR/CAD cost is ≥$34.00, Xpert Ultra cost is ≥$135.00, or linkage to tuberculosis care is ≤15%.

conclusionDigital chest radiography with computer-aided detection followed by confirmatory sputum Xpert Ultra would likely be a cost-effective strategy for tuberculosis screening in South Africa.

Indexed as

Mass ScreeningTuberculosis, PulmonaryAdultCost-Benefit AnalysisCost-Effectiveness AnalysisFemaleHIV InfectionsHumansMaleMiddle AgedPrevalenceRadiography, ThoracicSensitivity and SpecificitySouth AfricaSputumchest radiographycost-effectivenessscreeningSouth Africatuberculosis

Identifiers

PMID42085271
PMCPMC13148231

What OpenQuestion holds

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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.