Evidence map›Paper›PMID 41974455›Full record

ArticleAmerican journal of epidemiology2026

New to cohort, not new to care: leveraging historical data in HIV clinical cohorts in the United States.

Nel Jason L Haw, Brenna Hogan, Elizabeth Humes, Sally B Coburn, Chunyan Zheng, Yawei Cheng, Yue Zhang, Kelly A Gebo, Jennifer O Lam, Maile Y Karris and 6 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 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

16 authors.

Nel Jason L HawDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0003-2602-4214
Brenna HoganDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-7100-8910
Elizabeth HumesDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Sally B CoburnDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-6423-1137
Chunyan ZhengDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Yawei ChengDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Yue ZhangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Kelly A GeboDepartment of Internal Medicine, Johns Hopkins Medicine, Baltimore, MD, United States.
Jennifer O LamDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, United States.
Maile Y KarrisDepartment of Medicine, University of California San Diego, San Diego, CA, United States.
Lauren C ZallaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0001-7665-2230
Michael A HorbergKaiser Permanente Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Washington, DC, United States.
Sonia NapravnikDepartment of Medicine, Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-9032-3713
M John GillDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Keri N AlthoffDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Catherine R LeskoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-1717-2592

Funding

North American AIDS Cohorts on Collaboration and Design (NAACCORD)U01AI069918 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Keri Nicole Althoff, RICHARD Douglas MOORE · 2006 to 2026
$65.2M
NIAID NIH HHS U01 AI069918
6 · The paper itself

Abstract

Identifying people with prior HIV care experience in clinical cohorts requires historical HIV data. We examined the availability of historical antiretroviral therapy (ART) prescriptions, historical CD4 counts, historical HIV viral loads, suppressed viral load at enrollment, and historical AIDS defining conditions in United States-based clinical cohorts in the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). At enrollment, we classified participants as new to care, transfer (without a gap in care), re-engaging in care (transfer after a gap in care), or previously in care with unknown transfer status. From 2000 to 2022, transfers increased from 30% to 68% while new to care declined from 31% to 21%. Historical ART prescriptions and suppressed viral load at enrollment became increasingly common data types for identifying prior HIV care, specifically after 2012. Among participants not new to care with ≥1 known historical HIV date, the median time between earliest known HIV date and enrollment increased from 1.9 years in 2000 to 5.6 years in 2022. While some data types may serve as practical proxies, we recommend that HIV cohorts systematically collect and assess all 5 data types to improve identification of participants new to care and adopt our algorithm specific to their context.

Indexed as

HIV InfectionsAdultAnti-HIV AgentsCD4 Lymphocyte CountCohort StudiesFemaleHumansMiddle AgedUnited StatesViral LoadAnti-HIV Agentsclinical cohorteligibility criteriahistorical dataHIVnew to HIV careprior HIV care experience

Identifiers

PMID41974455
PMCPMC13094725

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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.