Evidence map›Paper›PMID 35147855›Full record

SynthesisCurrent HIV/AIDS reports2022

Risk-Based Screening Tools to Optimise HIV Testing Services: a Systematic Review.

J J Ong, K Coulthard, C Quinn, M J Tang, T Huynh, M S Jamil, R Baggaley, C Johnson

Abstract readSystematic Review
In one paragraph

Synthesis in Current HIV/AIDS reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Machine learning to improve HIV screening using routine data in Kenya.Journal of the International AIDS Society · 2025
    Article
  10. Article
  11. Article
  12. 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

8 authors.

J J OngCentral Clinical School, Monash University, Melbourne, Australia. Jason.ong@monash.edu.ORCID 0000-0001-5784-7403
K CoulthardMelbourne Sexual Health Centre, The Alfred Hospital, Melbourne, Australia.
C QuinnGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
M J TangCentral Clinical School, Monash University, Melbourne, Australia.
T HuynhCentral Clinical School, Monash University, Melbourne, Australia.
M S JamilGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
R BaggaleyGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
C JohnsonGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

purpose of reviewEffective ways to diagnose the remaining people living with HIV who do not know their status are a global priority. We reviewed the use of risk-based tools, a set of criteria to identify individuals who would not otherwise be tested (screen in) or excluded people from testing (screen out). RECENT

findingsRecent studies suggest that there may be value in risk-based tools to improve testing efficiency (i.e. identifying those who need to be tested). However, there has not been any systematic reviews to synthesize these studies. We identified 18,238 citations, and 71 were included. The risk-based tools identified were most commonly from high-income (51%) and low HIV (<5%) prevalence countries (73%). The majority were for "screening in" (70%), with the highest performance tools related to identifying MSM with acute HIV. Screening in tools may be helpful in settings where it is not feasible or recommended to offer testing routinely. Caution is needed for screening out tools, where there is a trade-off between reducing costs of testing with missing cases of people living with HIV.

Indexed as

HIV InfectionsDelivery of Health CareHIV TestingHumansMass ScreeningPrevalenceHIVScreening toolTesting

Identifiers

PMID35147855
PMCPMC8832417

What OpenQuestion holds

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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.