Evidence map›Paper›PMID 37493931›Full record

ArticleAIDS and behavior2024

Examining Concordance Between Self-Report and Biomedical HIV Viral Load Data: A Scoping Review.

Molly Dorshimer, Sabina Hirshfield, Joseph Mayer, Angela A Aidala

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in AIDS and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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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

4 authors at 2 institutions in 1 country.

Molly DorshimerDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Sabina HirshfieldDepartment of Medicine, STAR Program, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC 1240, Brooklyn, NY, 11203-2012, USA. sabina.hirshfield@downstate.edu.ORCID http://orcid.org/0000-0002-2649-469X
Joseph MayerCollege of Medicine, SUNY Downstate Health Sciences University, Brooklyn, United States, 11203, New York.
Angela A AidalaDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Columbia University · USSUNY Downstate Health Sciences University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of HIV viral load based on laboratory results is the gold standard in HIV care and research. However, blood assay or accessing medical records is not always possible due to research or service contexts and constraints. Self-report of viral load test results expands data resources, is a convenient method of collecting data in both research and service settings, and is useful for HIV surveillance. The purpose of this scoping review was to identify existing literature on the validity of self-reported viral load data compared to blood assay or medical record review. We found that the existing literature is limited, with varied data collection methods, self-report measures, and study designs, as well as predictors of accuracy. Concordance between self-reported viral load and biomedical data varied across studies but appeared to be more consistent among samples recruited from clinical populations that reported engagement in HIV care. While it is difficult to draw definitive conclusions about the validity of self-reported viral load across existing studies, there is a need for a standardized measure and method of collection that can be utilized across diverse populations living with HIV.

Indexed as

HIV InfectionsHIV TestingHumansResearch DesignSelf ReportViral LoadHIV/AIDSResearch methodsValidationValidity of self-reportViral load

Identifiers

PMID37493931
OpenAlexW4385264385

What OpenQuestion holds

Textmetadata
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.