Evidence map›Paper›PMID 40018550›Full record

ArticleBMJ public health2024

Picking the low-hanging fruit: the cost-effectiveness of opportunistic diabetes screening during tuberculosis contact investigations on the Texas-Mexico border.

Robert A McGowan, Henry Shelton Brown, Juan Carlos Lopez-Alvarenga, Blanca I Restrepo

Abstract read
In one paragraph

Article in BMJ public health, 2024. 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

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.

Robert A McGowanThe University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA.ORCID 0000-0001-9305-4910
Henry Shelton BrownHealth Economics, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA.ORCID 0000-0001-9727-3432
Juan Carlos Lopez-AlvarengaPopulation Health & Biostatistics, The University of Texas Rio Grande Valley, Edinburgh, Texas, USA.ORCID 0000-0002-0966-8766
Blanca I RestrepoEpidemiology, The University of Texas Health Science Center at Houston School of Public Health-Brownsville Campus, Brownsville, Texas, USA.ORCID 0000-0002-3743-9098

Funding

Interdisciplinary NexGen TB research Advancement Center (IN-TRAC)P30AI168439 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Shannan Hall-Ursone · 2022 to 2026
$6.9M
Role of metabolic Me-macrophages in the pathogenesis of tuberculosis during diabetesR21AI144541 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI JAGANNATH, CHINNASWAMY, RESTREPO, BLANCA I · 2020 to 2021
$443k
NIAID NIH HHS P30 AI168439NIAID NIH HHS R21 AI144541
6 · The paper itself

Abstract

Objective: There is a known association between type 2 diabetes (diabetes) and tuberculosis (TB), and TB clinics have become hubs for new diabetes diagnosis among active patients with TB. However, despite the potential to identify diabetes patients, resources limit diabetes screening opportunities to close TB contacts. We assessed the cost-effectiveness of adding opportunistic screening for diabetes during the routine TB contact investigations conducted at TB clinics. Research design and methods: We used a Markov-based model to simulate the costs of diabetes screening, management and health outcomes, including the incidence of complications and death. All costs were considered from a health system perspective. One-way sensitivity analyses were conducted to assess the robustness of the results to various assumptions. Interventions that fall below US$50 000 per quality-adjusted life years (QALYs) are commonly considered very cost-effective, while those between $50 000 and $100 000 are considered moderately cost-effective. Results: Simulation of diabetes screening among TB contacts resulted in not only increased survival and reduced complications but also increased costs of diabetes management. The resulting incremental cost-effectiveness ratio was $32 642 per QALY added, which is well within commonly used willingness-to-pay thresholds for cost-effectiveness. Compared with no screening, screening increased the costs by $8633 and resulted in an increase in QALYs by 0.26 per patient. Conclusions: In the base case analysis, screening was very cost-effective given that none of the sensitivity analyses resulted in a cost-effectiveness ratio above $50 000 per QALY. Our results indicate that the expansion of diabetes screening in TB clinics is a cost-effective strategy to improve health outcomes.

Indexed as

Communicable Disease ControlContact TracingeconomicsPublic HealthSecondary Prevention

Identifiers

PMID40018550
PMCPMC11816964

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Registered trials

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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.