Evidence map›Paper›PMID 42601578›Full record

ArticleAIDS and behavior2026

Implications of Disruptions in HIV-Related Metrics.

David R Holtgrave, Ronald O Valdiserri

Abstract read
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In one paragraph

Article in AIDS and behavior, 2026. 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

2 authors.

David R HoltgraveNew York State Department of Health, Office of the Commissioner, Empire State Plaza, Corning Tower, 14th Floor, Albany, NY, 12237, USA. david.r.holtgrave@jhu.edu.
Ronald O ValdiserriDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rigorous and timely HIV-related surveillance is essential to monitoring progress toward national, state, and local programmatic goals, making midcourse corrections, and informing policymaking. Decades of work have gone into making HIV surveillance a leading example in public health measurement systems. However, some disruption of, and uncertainty about this key surveillance system has begun. Here, we described the uncertainty regarding the National HIV Behavioral Surveillance (NHBS) system, estimation of HIV incidence, and tracking of HIV-related health disparities. Further, we articulate potential disruptive impact on the field and make recommendations so as to rectify these challenges to the HIV surveillance data systems before further harm is done. While it is still possible to end the HIV epidemic by 2030 in the United States, a strong, rigorous, comprehensive and timely measurement system for key metrics is a necessity.

Indexed as

HIV InfectionsPopulation SurveillanceHealth PolicyHumansIncidencePublic HealthUnited StatesBehavioral surveillanceHIV policyHIV strategic planningHIV surveillance

Identifiers

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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.