Evidence map›Paper›PMID 42564681›Full record

ArticleOpen forum infectious diseases2026

A Multistate Analysis of Longitudinal Care Outcomes Among People Newly Linked to Human Immunodeficiency Virus Care in Missouri.

Aditi Ramakrishnan, Daniel Vo, Ernie-Paul Barrette, Rachel M Presti, William G Powderly, Anne Trolard, Corey Grejtak-Heaps, Elvin H Geng, Aaloke Mody, Lindsey M Filiatreau

Abstract read
In one paragraph

Article in Open forum infectious diseases, 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

10 authors.

Aditi RamakrishnanDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-0843-1414
Daniel VoDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
Ernie-Paul BarretteDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
Rachel M PrestiDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
William G PowderlyDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
Anne TrolardWashington University School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0001-9922-9208
Corey Grejtak-HeapsDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
Elvin H GengDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
Aaloke ModyDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-3787-365X
Lindsey M FiliatreauBursky School of Public Health, Washington University in St Louis, St Louis, Missouri, USA.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
MENTORING MULTIDISCIPLINARY PATIENT-ORIENTED RESEARCH IN ENGAGEMENT IN HIV CAREK24AI134413 · NIAID · WASHINGTON UNIVERSITY · PI Elvin H. Geng · 2017 to 2026
$1.4M
PREFER-PrEP: Preference-informed Strategies to Optimize PrEP PersistenceK23MH142221 · NIMH · WASHINGTON UNIVERSITY · PI Aditi Ramakrishnan · 2026 to 2026
$787k
NCATS NIH HHS UL1 TR002345NIAID NIH HHS K24 AI134413NIMH NIH HHS K23 MH142221
6 · The paper itself

Abstract

Background: Advancing the HIV response in Missouri, an Ending the HIV Epidemic priority state, requires stronger characterization of treatment gaps. Routine cross-sectional reporting may fail to capture important gaps in care that longitudinal methods can reveal. Methods: We characterized clinic engagement and viral suppression among people with Human Immunodeficiency Virus (HIV) aged ≥18 years who were newly linked to clinic in St Louis, Missouri, between 1 January 2015 and 15 March 2020. Using multistate analytic methods that capture change over time, we estimated the prevalence of individuals in 9 mutually exclusive and exhaustive states over 3 years following linkage to clinic. Care states were based on engagement (disengagement ≥90 days late for a scheduled appointment) and viral load status (suppression defined as viral load <200 copies/mL ≤200 days). Results: Overall 1110 patients were newly linked to clinic during the observation period, contributing 2255.4 person-years of follow-up. One year following linkage, 54.8% (95% CI, 51.6%-57.9%) were continuously retained, 15.2% (95% CI, 13.0%-17.7%) were reengaged, and 29.3% (95% CI, 26.6%-32.2%) were disengaged. In addition, 93.0% (95% CI, 90.6%-95.1%) of continuously retained individuals were virally suppressed at 1 year as compared with 81.6% (95% CI, 75.2%-87.7%) of reengaged individuals. Younger individuals and those from historically marginalized communities were more likely to disengage, reengage, and become viremic. Conclusions: Multistate methods revealed a pattern of disengagement from clinic and reengagement, accompanied by elevated risk of viremia during disengagement. Shifting retention efforts from preventing isolated missed visits toward supporting sustained, long-term engagement in care is a key priority.

Indexed as

EHEending the epidemicHIV care cascadelongitudinal epidemiologymultistate models

Identifiers

PMID42564681
PMCPMC13445624

What Socratic holds

Textmetadata
LicenceCC BY-NC-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 Socratic graph.