Evidence map›Paper›PMID 32351155›Full record

ReviewJournal of the International Association of Providers of AIDS Care

Estimating the First 90 of the UNAIDS 90-90-90 Goal: A Review.

Maira Sohail, Emily Bess Levitan, Aadia Iftikhar Rana, Sonya Lynn Heath, Jeremiah Rastegar, Mirjam-Colette Kempf, Dustin Marsh Long

Open access · goldAbstract readReview
In one paragraph

Review in Journal of the International Association of Providers of AIDS Care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Host-Pathogen Interaction: Biology and Public Health.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. Article
  7. Article
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

7 authors at 1 institution in 1 country.

Maira SohailCenter for AIDS Research, University of Alabama at Birmingham, AL, USA.
Emily Bess LevitanCenter for AIDS Research, University of Alabama at Birmingham, AL, USA.
Aadia Iftikhar RanaCenter for AIDS Research, University of Alabama at Birmingham, AL, USA.ORCID 0000-0002-1963-528X
Sonya Lynn HeathCenter for AIDS Research, University of Alabama at Birmingham, AL, USA.
Jeremiah RastegarCenter for AIDS Research, University of Alabama at Birmingham, AL, USA.
Mirjam-Colette KempfCenter for AIDS Research, University of Alabama at Birmingham, AL, USA.
Dustin Marsh LongCenter for AIDS Research, University of Alabama at Birmingham, AL, USA.ORCID 0000-0002-5423-4481
University of Alabama at Birmingham · US

Funding

Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
Improving Retention in Care Among Postpartum HIV-infected Women in MississippiK23MH100955 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI RANA, AADIA · 2014 to 2018
$890k
NIAID NIH HHS P30 AI027767NIMH NIH HHS K23 MH100955
6 · The paper itself

Abstract

Estimating the population with undiagnosed HIV (PUHIV) is the most methodologically challenging aspect of evaluating 90-90-90 goals. The objective of this review is to discuss assumptions, strengths, and shortcomings of currently available methods of this estimation. Articles from 2000 to 2018 on methods to estimate PUHIV were reviewed. Back-calculation methods including CD4 depletion and test-retest use diagnosis CD4 count, or previous testing history to determine likely infection time thus, providing an estimate of PUHIV for previous years. Biomarker methods use immunoassays to differentiate recent from older infections. Statistical techniques treat HIV status as missing data and impute data for models of infection. Lastly, population surveys using HIV rapid testing most accurately calculates the current HIV prevalence. Although multiple methods exist to estimate the number of PUHIV, the appropriate method for future applications depends on multiple factors, namely data availability and population of interest.

Indexed as

United NationsCD4 Lymphocyte CountData AnalysisGlobal HealthHIV InfectionsHumansIncidencePrevalenceStatistics as TopicUndiagnosed Diseases90-90-90HIV prevalenceHIV statusUNAIDS HIV estimatesundiagnosed HIV

Identifiers

PMID32351155
PMCPMC7235967
OpenAlexW3023690363

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.