Evidence map›Paper›PMID 37623745›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

Cost-effectiveness of Low-complexity Screening Tests in Community-based Case-finding for Tuberculosis.

Lukas E Brümmer, Ryan R Thompson, Akash Malhotra, Sourya Shrestha, Emily A Kendall, Jason R Andrews, Patrick Phillips, Payam Nahid, Adithya Cattamanchi, Florian M Marx and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Cost-effectiveness of community tuberculosis screening in South Africa.American journal of respiratory and critical care medicine · 2026
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  4. Article
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  7. Projecting the Impact and Costs of Near Point-of-Care Tuberculosis Screening Assays in Community-based Active Case Finding.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
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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

12 authors at 4 institutions in 2 countries.

Lukas E BrümmerDivision of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-8812-7975
Ryan R ThompsonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Akash MalhotraDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Sourya ShresthaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Emily A KendallDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, San Francisco, California, USA.
Patrick PhillipsCenter for Tuberculosis, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, California, USA.
Payam NahidCenter for Tuberculosis, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, California, USA.
Adithya CattamanchiCenter for Tuberculosis, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, California, USA.
Florian M MarxDivision of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.
Claudia M DenkingerDivision of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · USUniversity of California, San Francisco · USHeidelberg University · DEStanford University · US

Funding

Rapid Research for Diagnostics Development in TB Network (R2D2 TB Network)U01AI152087 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA, DENKINGER, CLAUDIA MARIA · 2020 to 2024
$19.3M
Hotspot versus clinic-based active case finding for TB in Uganda: A pragmatic randomized trialR01HL138728 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI David Wesley Dowdy, Emily A Kendall · 2017 to 2026
$5.4M
Who are the Ultra-positive, culture-negative? Understanding the trajectories of individuals in Uganda with trace M. tuberculosis nucleic acid in sputumR01HL153611 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KENDALL, EMILY A · 2020 to 2024
$3.2M
NHLBI NIH HHS R01 HL138728NHLBI NIH HHS R01 HL153611NIAID NIH HHS U01 AI152087
6 · The paper itself

Abstract

introductionIn high-burden settings, low-complexity screening tests for tuberculosis (TB) could expand the reach of community-based case-finding efforts. The potential costs and cost-effectiveness of approaches incorporating these tests are poorly understood.

methodsWe developed a microsimulation model assessing 3 approaches to community-based case-finding in hypothetical populations (India-, South Africa-, The Philippines-, Uganda-, and Vietnam-like settings) with TB prevalence 4 times that of national estimates: (1) screening with a point-of-care C-reactive protein (CRP) test, (2) screening with a more sensitive "Hypothetical Screening test" (95% sensitive for Xpert Ultra-positive TB, 70% specificity; equipment/labor costs similar to Xpert Ultra, but using a $2 cartridge) followed by sputum Xpert Ultra if positive, or (3) testing all individuals with sputum Xpert Ultra. Costs are expressed in 2023 US dollars and include treatment costs.

resultsUniversal Xpert Ultra was estimated to cost a mean $4.0 million (95% uncertainty range: $3.5 to $4.6 million) and avert 3200 (2600 to 3900) TB-related disability-adjusted life years (DALYs) per 100 000 people screened ($670 [The Philippines] to $2000 [Vietnam] per DALY averted). CRP was projected to cost $550 (The Philippines) to $1500 (Vietnam) per DALY averted but with 44% fewer DALYs averted. The Hypothetical Screening test showed minimal benefit compared to universal Xpert Ultra, but if specificity were improved to 95% and per-test cost to $4.5 (all-inclusive), this strategy could cost $390 (The Philippines) to $940 (Vietnam) per DALY averted.

conclusionsScreening tests can meaningfully improve the cost-effectiveness of community-based case-finding for TB but only if they are sensitive, specific, and inexpensive.

Indexed as

TuberculosisCost-Benefit AnalysisHealth Care CostsHumansSensitivity and SpecificitySouth AfricaSputumcost-effectivenessdiagnosticsmathematical modellingscreeningtuberculosis

Identifiers

PMID37623745
PMCPMC10810711
OpenAlexW4386153105

What Socratic 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 Socratic graph.