Evidence map›Paper›PMID 25406755›Full record

ReviewAIDS (London, England)2014

Embracing different approaches to estimating HIV incidence, prevalence and mortality.

Timothy B Hallett, Basia Zaba, John Stover, Tim Brown, Emma Slaymaker, Simon Gregson, David P Wilson, Kelsey K Case, UNAIDS Reference Group on Estimates, Modelling and Projections

Abstract readComparative StudyEvaluation StudyReview
In one paragraph

Review in AIDS (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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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

9 authors.

Timothy B HallettaImperial College London bLondon School of Hygiene and Tropical Medicine, London UK cFutures Institute, Glastonbury, Massachusetts dEast-West Centre, Hawaii, USA eKirby Institute, University of New South Wales, Sydney, Australia.
Basia Zaba
John Stover
Tim Brown
Emma Slaymaker
Simon Gregson
David P Wilson
Kelsey K Case
UNAIDS Reference Group on Estimates, Modelling and Projections

Funding

Medical Research Council MR/K010174/1PEPFAR
6 · The paper itself

Abstract

backgroundJoint United Nations Programme on HIV/AIDS (UNAIDS) and Murray et al. have both produced sets of estimates for worldwide HIV incidence, prevalence and mortality. Understanding differences in these estimates can strengthen the interpretation of each.

methodsWe describe differences in the two sets of estimates. Where possible, we have drawn on additional published data to which estimates can be compared.

findingsUNAIDS estimates that there were 6 million more people living with HIV (PLHIV) in 2013 (35 million) compared with the Murray et al. estimates (29 million). Murray et al. estimate that new infections and AIDS deaths have declined more gradually than does UNAIDS. Just under one third of the difference in PLHIV is in Africa, where Murray et al. have relied more on estimates of adult mortality trends than on data on survival times. Another third of the difference is in North America, Europe, Central Asia and Australasia. Here Murray et al. estimates of new infections are substantially lower than the number of new HIV/AIDS diagnoses reported by countries, whereas published UNAIDS estimate tend to be greater. The remaining differences are in Latin America and Asia where the data upon which the UNAIDS methods currently rely are more sparse, whereas the mortality data leveraged by Murray et al. may be stronger. In this region, however, anomalies appear to exist between the both sets of estimates and other data.

interpretationBoth estimates indicate that approximately 30 million PLHIV and that antiretroviral therapy has driven large reductions in mortality. Both estimates are useful but show instructive discrepancies with additional data sources. We find little evidence to suggest that either set of estimates can be considered systematically more accurate. Further work should seek to build estimates on as wide a base of data as possible.

Indexed as

Epidemiologic MethodsGlobal HealthHIV InfectionsHumansIncidencePrevalenceSurvival Analysis

Identifiers

PMID25406755
PMCPMC4247269

What OpenQuestion holds

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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.