Evidence map›Paper›PMID 39348107›Full record

Observational studyJAMA internal medicine2024

Redlining and Time to Viral Suppression Among Persons With HIV.

John R Bassler, Lauren Ostrenga, Emily B Levitan, Emma S Kay, Dustin M Long, Michael J Mugavero, Ariann F Nassel, Mariel Parman, Miya Tate, Aadia Rana and 1 more

Abstract readObservational Study
In one paragraph

Observational study in JAMA internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Observational
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

John R BasslerDepartment of Biostatistics, University of Alabama, Birmingham.
Lauren OstrengaLouisiana Department of Health, New Orleans.
Emily B LevitanDepartment of Epidemiology, University of Alabama, Birmingham.
Emma S KaySchool of Nursing, University of Alabama, Birmingham.
Dustin M LongDepartment of Biostatistics and Data Science, Wake Forest University, Winston-Salem, North Carolina.
Michael J MugaveroDepartment of Medicine, University of Alabama, Birmingham.
Ariann F NasselLister Hill Center for Health Policy, University of Alabama, Birmingham.
Mariel ParmanDepartment of Medicine, University of Alabama, Birmingham.
Miya TateSchool of Social Work, Tulane University, New Orleans, Louisiana.
Aadia RanaDepartment of Medicine, University of Alabama, Birmingham.
D Scott BateySchool of Social Work, Tulane University, New Orleans, Louisiana.

Funding

The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Geographic Variability in Time from HIV Diagnosis to Viral Suppression in the Deep South: A Roadmap to Accelerated Treatment InitiationR01AI142690 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BATEY, DAVID S., RANA, AADIA · 2019 to 2023
$2.4M
NIAID NIH HHS R01 AI142690NIMH NIH HHS R25 MH083620
6 · The paper itself

Abstract

Importance: Structural racism in the US is evidenced in the discriminatory practice of historical racial redlining when neighborhoods were valued, in part, based on the community's racial and ethnic compositions. However, the influence of these systemic practices in the context of the HIV epidemic is not well understood. Objective: To assess the effect of redlining on time to viral suppression among people newly diagnosed with HIV. Design, Setting, and Participants: Observational study that included individuals diagnosed with HIV from January 1, 2011, to December 31, 2019, in New Orleans, Louisiana. At the time of their HIV diagnosis, these individuals lived in neighborhoods historically mapped by the Home Owners' Loan Corporation (HOLC). The HOLC lending risk maps classified neighborhoods into 1 of 4 color-coded grades: A (best), B (still desirable), C (definitely declining), and D (hazardous). Main Outcome and Measures: The primary outcome of interest was time to viral suppression (estimated as the time from the diagnosis date to the date of the first recorded viral load that was <200 copies/mL). Individual-level demographic factors were used to evaluate time to viral suppression along with a neighborhood measure of gentrification (based on US census tract-level characteristics for educational attainment, housing development and value, and household income) and a Cox gamma frailty model with census tract used as the frailty term. Results: Of 1132 individuals newly diagnosed with HIV, 871 (76.9%) were men and 620 (54.8%) were 25 to 44 years of age. Of the 697 individuals living in historically redlined neighborhoods (HOLC grade D), 100 (14.6%) were living in neighborhoods that were gentrifying. The median time to viral suppression was 193 days (95% CI, 167-223 days) for persons with HIV living in redlined neighborhoods compared with 164 days (95% CI, 143-185 days) for the 435 persons with HIV living in HOLC grade A, B, or C (nonredlined) neighborhoods. Among persons with HIV living in gentrifying neighborhoods, those living in redlined neighborhoods had a longer time to viral suppression compared with persons living in nonredlined neighborhoods (hazard ratio, 0.54 [95% CI, 0.36-0.82]). Conclusions and Relevance: These findings suggest the enduring effects of systemic racism on present-day health outcomes among persons with HIV. Regardless of their neighborhood's contemporary level of gentrification, individuals diagnosed with HIV while living in historically redlined neighborhoods may experience a significantly longer time to viral suppression.

Indexed as

HIV InfectionsViral LoadAdultFemaleHumansMaleMiddle AgedNew OrleansRacismResidence CharacteristicsTime Factors

Identifiers

PMID39348107
PMCPMC11536221

What OpenQuestion holds

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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.