Evidence map›Paper›PMID 30961993›Full record

ArticleAnnals of epidemiology2019

Diversity and characterization of HIV-1 subtypes in the United States, 2008-2016.

Richard L Kline, Neeraja Saduvala, Tianchi Zhang, Alexandra M Oster

Abstract read
In one paragraph

Article in Annals of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Article
  8. Identification and Implications of HIV-1 CRF01_AE Subtype in Hawai'i.Hawai'i journal of health & social welfare · 2022
    Article
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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.

Richard L KlineDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Neeraja SaduvalaICF International, Atlanta, GA.
Tianchi ZhangICF International, Atlanta, GA.
Alexandra M OsterDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA. Electronic address: aoster@cdc.gov.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

purposeThis article describes subtype diversity among diagnosed HIV-1 infections in the United States during 2008-2016 by demographic or risk group and over time.

methodsHIV-1 polymerase sequences reported to the National HIV Surveillance System for persons in 17 U.S. states with HIV infection diagnosed during 2008-2016 were subtyped using COMET, an automated subtyping tool, and National HIV Surveillance System demographic data were analyzed.

resultsSubtype B was identified in 93.6% of 121,793 reported sequences. The most common non-B subtypes and circulating recombinant forms (CRFs) were C, CRF02_AG, A, CRF01_AE, and G. Elevated percentages of non-B subtypes or CRFs were found in persons who were female, aged less than 13 years at diagnosis, Asian, or had transmission attributable to heterosexual contact (females only) or perinatal exposure. Foreign-born persons had a higher percentage of non-B subtypes. The prevalence of non-B subtypes and CRFs increased from 5.0% in 2008 to 8.5% in 2016; among specific subtypes and CRFs, subtype G and CRF01_AE increased.

conclusionsSubtype B remains the predominant strain in the United States. Non-B subtypes and CRFs were not widespread, but diversity and numbers increased from 2008 through 2016, which could have consequences for clinical management, diagnostic testing, and vaccine development.

Indexed as

Public Health SurveillanceAdolescentAdultAgedChildFemaleGenetic VariationHIV-1HIV InfectionsHumansMaleMiddle AgedMolecular EpidemiologyPolymerase Chain ReactionPrevalenceUnited StatesGenetic diversityHIV-1Molecular epidemiologyPublic health surveillanceRisk factors

Identifiers

PMID30961993
PMCPMC12599838

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Registered trials

None linked

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.