Evidence map›Paper›PMID 24149086›Full record

SynthesisAIDS (London, England)2014

A systematic review of definitions of extreme phenotypes of HIV control and progression.

Deepti Gurdasani, Louise Iles, David G Dillon, Elizabeth H Young, Ashley D Olson, Vivek Naranbhai, Sarah Fidler, Effrossyni Gkrania-Klotsas, Frank A Post, Paul Kellam and 2 more

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis 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 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

71 citing papers in PubMed, 104 citations in OpenAlex.

  1. ART in HIV-Positive Persons With Low Pretreatment Viremia: Results From the START Trial.Journal of acquired immune deficiency syndromes (1999) · 2019
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Under the Radar: Immune Evasion, Pathogenesis and Control of HIV Infection.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Risk of Non-AIDS-Defining Events Is Lower in Antiretroviral Therapy (ART)-Naive HIV Controllers Than in Normal Progressors on Suppressive ART.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  14. Review
  15. Observational
  16. Article
  17. Review
  18. Observational
  19. Review
  20. Long-term non-progression and risk factors for disease progression among children living with HIV in Botswana and Uganda: A retrospective cohort study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
    Article

11 more citing papers are in PubMed but not listed here.

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

12 authors at 7 institutions in 2 countries.

Deepti GurdasaniaWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton bStrangeways Research Laboratory, Department of Public Health and Primary Care, University of Cambridge, Wort's Causeway, Cambridge cMedical Research Council, Clinical Trials Unit, Aviation House, London, UK dCentre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa eWellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford fImperial College Healthcare NHS Trust, London gCambridge University Hospitals NHS Foundation Trust, Department of Infectious Diseases, Addenbrooke's Hospital, Cambridge hKing's College London, Weston Education Centre iDivision of Infection and Immunity, University College London, London, UK.
Louise Iles
David G Dillon
Elizabeth H Young
Ashley D Olson
Vivek Naranbhai
Sarah Fidler
Effrossyni Gkrania-Klotsas
Frank A Post
Paul Kellam
Kholoud Porter
Manjinder S Sandhu
Wellcome Sanger Institute · GBMedical Research Council · GBCambridge University Hospitals NHS Foundation Trust · GBCentre for Human Genetics · GBImperial College Healthcare NHS Trust · GBUniversity of Cambridge · GBWeston College · GB

Funding

Medical Research Council G0701652Medical Research Council G0901213Medical Research Council MC_UU_12023/15Wellcome Trust
6 · The paper itself

Abstract

The study of individuals at opposite ends of the HIV clinical spectrum can provide invaluable insights into HIV biology. Heterogeneity in criteria used to define these individuals can introduce inconsistencies in results from research and make it difficult to identify biological mechanisms underlying these phenotypes. In this systematic review, we formally quantified the heterogeneity in definitions used for terms referring to extreme phenotypes in the literature, and identified common definitions and components used to describe these phenotypes. We assessed 714 definitions of HIV extreme phenotypes in 501 eligible studies published between 1 January 2000 and 15 March 2012, and identified substantial variation among these. This heterogeneity in definitions may represent important differences in biological endophenotypes and clinical progression profiles of individuals selected by these, suggesting the need for harmonized definitions. In this context, we were able to identify common components in existing definitions that may provide a framework for developing consensus definitions for these phenotypes in HIV infection.

Indexed as

Terminology as TopicDisease ProgressionHIV InfectionsHIV Long-Term SurvivorsHumansPhenotype

Identifiers

PMID24149086
PMCPMC3882304
OpenAlexW2027054583

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.