Evidence map›Paper›PMID 41627347›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2026

Brief Report: National HIV Molecular Cluster Detection Supports Local Cluster Detection.

Kevin Johnson, Rachael Billock, Camden Hallmark, Anne Marie France, Mary Plaster, Nivedha Panneer

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 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

6 authors.

Kevin JohnsonNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Rachael BillockNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Camden HallmarkNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Anne Marie FranceNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Mary PlasterDLH Corporation, Atlanta, GA.
Nivedha PanneerNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.ORCID 0000-0001-5766-3647

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionCDC and state/local health departments analyze HIV sequences to identify molecular clusters representing rapid transmission. Local analyses can be timelier, but are limited to sequences available in the local surveillance system, and thus may miss all or part of clusters spanning multiple jurisdictions. We assessed the added value of national analyses for clusters missed or only partially detected by local analyses.

methodsWe reviewed national quarterly analyses of HIV sequences (September 2021-June 2023) that identified priority clusters (defined as ≥5 diagnoses in the past 12 months within a genetic distance of ≤0.005 substitutions per site among people with HIV diagnosed during the most recent 3 years). For each cluster, we simulated whether and when single-jurisdiction analysis would meet priority threshold and calculated the proportion of cluster members that could be identified locally.

resultsOf 149 clusters detected in the national analysis, 91 clusters (61%) would have been detected concurrently by local analysis, 27 (18%) would have delayed detection (median: 59 days), and 31 (21%) would not have been detected locally. In clusters detected by both approaches, an average of 91% of cluster members identified in the national analysis would have also been identified in the local analysis.

conclusionsNational analyses detected clusters that local analyses missed, identified additional cluster members, and found certain clusters earlier. National cluster detection plays a vital role in enhancing local detection activities.

Indexed as

HIVHIV-1HIV InfectionsCluster AnalysisClustering AlgorithmsHumansMolecular EpidemiologyUnited StatesclustersHIVmolecular epidemiologynational analysis

Identifiers

PMID41627347
PMCPMC13629756

What OpenQuestion holds

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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.