Evidence map›Paper›PMID 31060607›Full record

ArticleSystematic reviews2019

Demographic and risk group heterogeneity across the UNAIDS 90-90-90 targets: a systematic review and meta-analysis protocol.

Dylan Green, Brenda Kharono, Diana M Tordoff, Adam Akullian, Anna Bershteyn, Michelle Morrison, Geoff Garnett, Ann Duerr, Paul Drain

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Systematic reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. 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.

Dylan GreenDepartments of Epidemiology and Global Health, University of Washington, 1959 NE Pacific St, Seattle, 98195, Washington, USA. greend7@uw.edu.ORCID 0000-0003-3938-8527
Brenda KharonoDepartments of Epidemiology and Global Health, University of Washington, 1959 NE Pacific St, Seattle, 98195, Washington, USA.
Diana M TordoffDepartments of Epidemiology and Global Health, University of Washington, 1959 NE Pacific St, Seattle, 98195, Washington, USA.
Adam AkullianDepartments of Epidemiology and Global Health, University of Washington, 1959 NE Pacific St, Seattle, 98195, Washington, USA.
Anna BershteynInstitute for Disease Modeling, 3150 139th Ave SE, Building IV, Bellevue, 98005, Washington, USA.
Michelle MorrisonBill and Melinda Gates Foundation, 500 5th Ave N, Seattle, 98109, Washington, USA.
Geoff GarnettBill and Melinda Gates Foundation, 500 5th Ave N, Seattle, 98109, Washington, USA.
Ann DuerrDepartments of Epidemiology and Global Health, University of Washington, 1959 NE Pacific St, Seattle, 98195, Washington, USA.
Paul DrainDepartments of Epidemiology and Global Health, University of Washington, 1959 NE Pacific St, Seattle, 98195, Washington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite policies for universal HIV testing and treatment (UTT) regardless of CD4 count, there are still 1.8 million new HIV infections and 1 million AIDS-related deaths annually. The UNAIDS 90-90-90 goals target suppression of HIV viral load in 73% of all HIV-infected people worldwide by 2030. However, achieving these targets may not lead to expected reductions in HIV incidence if the remaining 27% (persons with unsuppressed viral load) are the drivers of HIV transmission through high-risk behaviors. We aim to conduct a systematic review and meta-analysis to understand the demographics, mobility, geographic distribution, and risk profile of adults who are not virologically suppressed in sub-Saharan Africa in the era of UTT.

methodsWe will review the published and grey literature for study sources that contain data on demographic and behavioral strata of virologically suppressed and unsuppressed populations since 2014. We will search PubMed and Embase using four sets of search terms tailored to identify characteristics associated with virological suppression (or lack thereof) and each of the individual 90-90-90 goals. Record screening and data abstraction will be done independently and in duplicate. We will use random effects meta-regression analyses to estimate the distribution of demographic and risk features among groups not virologically suppressed and for each individual 90-90-90 goal. DISCUSSION: The results of our review will help elucidate factors associated with failure to achieve virological suppression in sub-Saharan Africa, as well as factors associated with failure to achieve each of the 90-90-90 goals. These data will help quantify the population-level effects of current HIV treatment interventions to improve strategies for maximizing virological suppression and ending the HIV epidemic. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018089505 .

Indexed as

DemographyGoalsHIV InfectionsViral LoadAfrica South of the SaharaCD4 Lymphocyte CountGlobal HealthHumansMeta-Analysis as TopicRisk FactorsSystematic Reviews as Topic90-90-90AfricaAntiretroviral therapyCare cascadeHIVHIV diagnosisMeta-analysisRisk-factorsSystematic reviewViral suppressionVirological suppression

Identifiers

PMID31060607
PMCPMC6501385

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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.