Evidence map›Paper›PMID 37676864›Full record

ArticlePloS one2023

Predictors of missed HIV screening opportunities among newly diagnosed individuals at an urban medical center in New York City, 2018-2022.

Jeffrey Paer, Judy Ratcliffe, Michelle Chang, Caroline Carnevale, Daniela Quigee, Peter Gordon, Susan Olender, Magdalena E Sobieszczyk, Jason Zucker

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Frontiers in public health · 2025
    Review
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

9 authors at 1 institution in 1 country.

Jeffrey PaerDepartment of Medicine, Columbia University Medical Center, New York, New York, United States of America.ORCID 0000-0002-8884-7366
Judy RatcliffeDepartment of Medicine, Columbia University Medical Center, New York, New York, United States of America.ORCID 0000-0002-5946-4534
Michelle ChangDivision of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, New York, United States of America.ORCID 0000-0002-1998-6047
Caroline CarnevaleDivision of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, New York, United States of America.
Daniela QuigeeDivision of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, New York, United States of America.
Peter GordonDivision of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, New York, United States of America.
Susan OlenderDivision of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, New York, United States of America.
Magdalena E SobieszczykDivision of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, New York, United States of America.
Jason ZuckerDivision of Infectious Diseases, Department of Medicine and Pediatrics, Columbia University Medical Center, New York, New York, United States of America.ORCID 0000-0001-6987-6412
Columbia University Irving Medical Center · US

Funding

Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Columbia Collaborative HIV/AIDS Clinical Trials UnitU01AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HAMMER, SCOTT M · 2007 to 2011
$15.4M
Global HIV Implementation Science Research Training Grant RenewalT32AI114398 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yael R Hirsch-Moverman · 2014 to 2026
$4.1M
Harnessing Bioinformatics for HIV Prevention: Understanding Persistence in Comprehensive HIV Prevention ServicesK23AI150378 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZUCKER, JASON · 2020 to 2024
$960k
NIAID NIH HHS K23 AI150378NIAID NIH HHS T32 AI114398NIAID NIH HHS U01 AI069470NIAID NIH HHS UM1 AI069470
6 · The paper itself

Abstract

objectiveTo identify demographic and clinical factors predictive of having a missed opportunity (MO) for HIV screening.

designRetrospective cohort study.

methodsElectronic medical records were queried for individuals newly diagnosed with HIV in different sites within a large urban academic medical center in New York City between 2018 and 2022. The primary outcome was having one or more MO for HIV screening within the institution, defined as any encounter at which screening was not performed in the 365 days preceding the HIV diagnosis.

resultsOver one third of new diagnoses had at least one MO in the preceding year. Older individuals, cisgender women and those assigned female sex at birth, and heterosexual individuals were more likely to have at least one MO. An initial CD4 < 200 cells/ul was more likely among men who have sex with women specifically. Most MOs occurred in the emergency department and outpatient settings, with minimal HIV prevention discussions documented during each MO.

conclusionsThese findings suggest that populations perceived to be at lower risk for HIV are more likely to have MOs and possibly late diagnoses, and that universal HIV screening must be implemented into the workflows of emergency department and outpatient settings to facilitate early diagnosis and reduce the incidence of HIV.

Indexed as

HIV InfectionsHospitalsAdultFemaleHealth FacilitiesHumansMaleMiddle AgedNew York CityRetrospective Studies

Identifiers

PMID37676864
PMCPMC10484428
OpenAlexW4386524275

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.