Evidence map›Paper›PMID 42523627›Full record

ArticleFrontiers in public health2026

Epidemiological yield and cost-effectiveness of non-targeted community HIV screening in a low-prevalence district: a prospective quasi-experimental study.

Yu Luo, Lu Liu, Hong Li, Xiyue Fan, Xinglan Tan, Wenting Yang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Yu LuoBeibei Center for Disease Control and Prevention, Chongqing, China.
Lu LiuBeibei Center for Disease Control and Prevention, Chongqing, China.
Hong LiBeibei Center for Disease Control and Prevention, Chongqing, China.
Xiyue FanBeibei Center for Disease Control and Prevention, Chongqing, China.
Xinglan TanBeibei Center for Disease Control and Prevention, Chongqing, China.
Wenting YangBeibei Center for Disease Control and Prevention, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the epidemiological yield, cost-effectiveness, and mechanisms of diagnostic cascade attrition of active, expanded community-based HIV screening in a low-prevalence region, and to contextualize the regional management burden. Methods: A prospective, non-randomized, quasi-experimental study was conducted (August-December 2025) across six demographically matched sub-districts. Three implemented active community screening (intervention); three maintained routine facility-based testing (control). A deduplicated dual-track database mapped the diagnostic cascade, supplemented by a 7-month longitudinal cohort to assess regional disease burden. Micro-costing determined fixed and variable costs from a health-system perspective. The Number Needed to Screen (NNS), Cost Per New Diagnosis (CPND), and Incremental Cost-Effectiveness Ratio (ICER) were calculated, supported by Propensity Score Matching (PSM), permutation tests, and deterministic sensitivity analyses. Results: Among 17,305 unique participants (intervention: 14,434; control: 2,871), the intervention expanded coverage in the 35-49 age cohort (35.0% vs. 25.5%, Conclusion: In epidemiologically saturated settings, non-targeted community screening yields profound diminishing marginal returns. Material incentives inadvertently capture previously diagnosed older males who undergo repeated testing, resulting in substantial resource redundancy rather than identifying occult infections. To optimize cost-effectiveness, public health strategies must implement digital pre-screening interception mechanisms and strategically reallocate funds toward key-population friendly services and peer-driven interventions.

Indexed as

Cost-Benefit AnalysisHIV InfectionsHIV TestingMass ScreeningAdultCost-Effectiveness AnalysisFemaleHumansMaleMiddle AgedPrevalenceProspective Studiescost-effectivenessexpanded screeningHIV/AIDSknown positivemobile populations

Identifiers

PMID42523627
PMCPMC13407263

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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.