Evidence map›Paper›PMID 41602097›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Comparative impacts and cost-effectiveness of tuberculosis active case-finding strategies in prisons in Brazil, Colombia, and Peru: a mathematical modeling study.

Yiran E Liu, José Victor Bortolotto Bampi, Ronan F Arthur, Argita D Salindri, Caroline Busatto, Pedro Avedillo Jiménez, Daniele Maria Pelissari, Fernanda Dockhorn Costa Johansen, Robert Arana-Narvaez, Alvaro Fernando Moreno Roca and 14 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Yiran E LiuDepartment of Epidemiology and Population Health, Stanford University, Stanford, California, USA.ORCID 0000-0001-7964-712X
José Victor Bortolotto BampiFederal University of Mato Grosso do Sul, Campo Grande, Brazil.
Ronan F ArthurDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
Argita D SalindriDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
Caroline BusattoNational Tuberculosis Program, Ministry of Health, Brasília, Brazil.
Pedro Avedillo JiménezPan American Health Organization, Communicable Diseases Prevention, Control and Elimination, Washington, DC, USA.
Daniele Maria PelissariNational Tuberculosis Program, Ministry of Health, Brasília, Brazil.
Fernanda Dockhorn Costa JohansenNational Tuberculosis Program, Ministry of Health, Brasília, Brazil.
Robert Arana-NarvaezDirección de Prevención y Control de la Tuberculosis, Ministerio de Salud, Lima, Perú.
Alvaro Fernando Moreno RocaDirección de Prevención y Control de la Tuberculosis, Ministerio de Salud, Lima, Perú.
Wilfredo Santos Solís TupesDirección de Prevención y Control de la Tuberculosis, Ministerio de Salud, Lima, Perú.
Esther Mori JiuDirección de Prevención y Control de la Tuberculosis, Ministerio de Salud, Lima, Perú.
Christian Alfredo Moreno RocaDirección de Prevención y Control de la Tuberculosis, Ministerio de Salud, Lima, Perú.
Erika Albertina Abregú ContrerasDirección de Prevención y Control de la Tuberculosis, Ministerio de Salud, Lima, Perú.
Valentina Antonieta Alarcón GuizadoDirección de Prevención y Control de la Tuberculosis, Ministerio de Salud, Lima, Perú.
Julián Trujillo TrujilloMinisterio de Salud y Protección Social, Subdirección de Enfermedades Transmisibles, Bogotá, Colombia.
Belkys MarcelinoPan American Health Organization, Communicable Diseases Prevention, Control and Elimination, Washington, DC, USA.
Mónica Alonso GonzalezPan American Health Organization, Communicable Diseases Prevention, Control and Elimination, Washington, DC, USA.
Mayra Cecilia Córdova AyllonInstituto Penitenciário Nacional, Lima, Peru.
Ted CohenDepartment of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, Connecticut, USA.
Moises A HuamanDivision of Infectious Diseases, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Jeremy D Goldhaber-FiebertDepartment of Health Policy, Stanford University School of Medicine, Stanford, California, USA.
Julio CrodaFederal University of Mato Grosso do Sul, Campo Grande, Brazil.ORCID 0000-0002-6665-6825
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Incarceration is a leading driver of tuberculosis in Latin America. Active case-finding in prisons may reduce population-wide tuberculosis burden, but optimal strategies and cost-effectiveness remain uncertain. Methods and findings: Using dynamic transmission models calibrated to Brazil, Colombia, and Peru, we simulated annual or biannual (twice-yearly) prison-wide screening, alone or combined with entry and exit screening from 2026-2035. We evaluated four algorithms: 1) symptom screening, 2) chest X-ray with computer-aided detection (CXR-CAD), 3) symptoms and CXR-CAD (follow-up testing if either is positive) and 4) GeneXpert Ultra with pooled sputum. Individuals screening positive then received individual Xpert. We projected impacts on within-prison and population-level tuberculosis incidence in 2035, along with discounted costs (2023 USD) and disability-adjusted life years (DALYs). Model projections showed that combined entry, exit, and biannual screening with CXR-CAD was highly impactful and cost-effective across countries, reducing tuberculosis incidence by 62-87% in prisons and 18-28% population-wide. Compared to only biannual CXR-CAD (the next best strategy), the incremental cost per DALY averted of adding entry and exit screening was $2984 (Brazil), $2925 (Colombia), and $645 (Peru). Adding symptom screening to CXR-CAD marginally increased benefit and was only cost-effective in Peru's higher-incidence prisons. Biannual screening alone remained cost-effective at prison incidence levels well below national averages. In settings without CXR-CAD, pooled Xpert was an impactful, cost-effective alternative. Conclusions: These modeling results support immediate national-level adoption of prison-wide tuberculosis screening twice-yearly and at entry and exit. Screening should begin with available methods while building capacity for CXR-CAD, the most cost-effective algorithm.

Identifiers

PMID41602097
PMCPMC12834340

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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.