Evidence map›Paper›PMID 33872328›Full record

ArticlePloS one2021

Highly variable trends in rates of newly diagnosed HIV cases in U.S. hotspots, 2008-2017.

Lorena Segarra, Samuel J Simmens, Amanda D Castel, Michael Kharfen, Henry Masur, Alan E Greenberg

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Lorena SegarraDepartment of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC, United States of America.
Samuel J SimmensDepartment of Biostatistics and Bioinformatics, George Washington University Milken Institute School of Public Health, Washington, DC, United States of America.ORCID 0000-0001-7830-8003
Amanda D CastelDepartment of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC, United States of America.
Michael KharfenHIV/AIDS, Hepatitis, STD & TB Administration, DC Department of Health, Washington, DC, United States of America.
Henry MasurNational Institutes of Health, Bethesda, Maryland, United States of America.
Alan E GreenbergDepartment of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC, United States of America.ORCID 0000-0003-1674-0217

Funding

SWG 2: Cure Research Scientific Working GroupP30AI117970 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI Italo Mocchetti · 2015 to 2026
$29.6M
DC Partnership for HIV/AIDS Progress (DC PFAP)ZIACL009010 · CLC · CLINICAL CENTER · PI MASUR, HENRY · 2010 to 2025
$0k
NIAID NIH HHS P30 AI117970
6 · The paper itself

Abstract

The U.S. Ending the HIV Epidemic (EHE) initiative was announced in early 2019 and rapidly became a focal point for domestic HIV prevention and treatment programs. Using publicly available data from CDC, we examined historical trends in the average annual percent change (AAPC) in HIV diagnosis rates for the 57 EHE high incidence "hotspots" using Joinpoint analysis. We then assessed the ecologic association of various hotspot characteristics with changes in these rates over time using a multivariable regression model. From 2008-2017, the overall rate of newly diagnosed HIV cases in the U.S. declined from 19 to 14 per 100,000 persons, with the AAPC declining significantly in the U.S. overall (-3.1%; 95% CI: -3.7, -2.4) and in the 57 hotspots (-3.3%; 95% CI: -4.6, -2.8). There were large (AAPC <-5.0), moderate (-5.0 to -2.5) and small (-2.5 to 0.0) rates of decline in 14, 19 and 17 hotspots respectively, with increasing trends (AAPC >0.0) noted in seven hotspots. In the multivariable regression analysis, higher initial HIV diagnosis rate and location in the Northeast region were significantly associated with declining AAPC rates whereas no significant differences were found by hotspot gender, age, or race/ethnicity distribution. This analysis demonstrates that the rate of decline in HIV diagnosis rates in hotspots across the U.S. has been highly variable. Further exploration is warranted to assess the correlation between programmatic factors such as HIV testing and antiretroviral therapy and pre-exposure prophylaxis coverage with HIV trends across the hotspots.

Indexed as

AdolescentAdultAgedEpidemicsEthnicityFemaleHIV-1HIV InfectionsHIV TestingHumansIncidenceMaleMiddle AgedPre-Exposure ProphylaxisUnited States

Identifiers

PMID33872328
PMCPMC8054999

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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.