Evidence map›Paper›PMID 39830275›Full record

ArticlemedRxiv : the preprint server for health sciences2025

The Future of HIV: Challenges in meeting the 2030

Amanda M Bleichrodt, Justin T Okano, Isaac Ch Fung, Gerardo Chowell, Sally Blower

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

5 authors.

Amanda M BleichrodtDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.ORCID 0009-0007-2524-369X
Justin T OkanoCenter for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0002-2476-9370
Isaac Ch FungDepartment of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.ORCID 0000-0001-5496-2529
Gerardo ChowellDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.ORCID 0000-0003-2194-2251
Sally BlowerCenter for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID 0000-0003-4342-3911

Funding

CaMKII nitrosylation in the age-related decline of synaptic plasticityR01AG067713 · NIA · UNIVERSITY OF COLORADO DENVER · PI BAYER, K. ULRICH · 2020 to 2024
$2.7M
NIA NIH HHS R01 AG067713
6 · The paper itself

Abstract

Objectives: To predict the burden of HIV in the United States (US) nationally and by region, transmission type, and race/ethnicity through 2030. Methods: Using publicly available data from the CDC NCHHSTP Results: We projected substantial decreases in incident HIV diagnoses nationally (W: 27.9%, UW: 21.9%), and in the South (W:18.0%, UW: 9.2%) and non-South (W: 21.2%, UW: 19.5%) from 2019 to 2030. However, concerning non-decreasing trends were observed nationally in key sub-populations during this period: Hispanic/Latino persons (W: 1.4%, UW: 2.6%), Hispanic/Latino MMSC (W: 9.0%, UW: 9.9%), people who inject drugs (PWID) (W: 25.6%, UW: 9.2%), and White PWID (W: 3.5%, UW: 44.9%). The rising trends among Hispanic/Latino MMSC and overall PWID were consistent across the South and non-South regions. Conclusions: Although the forecasted national-level decrease in the number of incident HIV diagnoses is encouraging, the US is unlikely to achieve the

Indexed as

forecastsheterogeneityHIVn-sub-epidemicUnited States

Identifiers

PMID39830275
PMCPMC11741459

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

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.