Evidence map›Paper›PMID 22206265›Full record

ArticleAIDS research and human retroviruses2012

Workshop summary: Novel biomarkers for HIV incidence assay development.

Usha K Sharma, Marco Schito, Alex Welte, Christine Rousseau, Joseph Fitzgibbon, Brandon Keele, Stuart Shapiro, Andrew McMichael, David N Burns

Abstract readConsensus Development Conference, NIH
In one paragraph

Article in AIDS research and human retroviruses, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Usha K SharmaPrevention Sciences Program (PSP), Division of AIDS (DAIDS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD 20892-7628, USA. usharma@niaid.nih.gov
Marco Schito
Alex Welte
Christine Rousseau
Joseph Fitzgibbon
Brandon Keele
Stuart Shapiro
Andrew McMichael
David N Burns
John Radcliffe Hospital · GBStellenbosch University · ZA

Funding

PHS HHS HHSN272200800014C
6 · The paper itself

Abstract

Reliable methods for measuring human immunodeficiency virus (HIV) incidence are a high priority for HIV prevention. They are particularly important to assess the population-level effectiveness of new prevention strategies, to evaluate the community-wide impact of ongoing prevention programs, and to assess whether a proposed prevention trial can be performed in a timely and cost-efficient manner in a particular population and setting. New incidence assays and algorithms that are accurate, rapid, cost-efficient, and can be performed on easily-obtained specimens are urgently needed. On May 4, 2011, the Division of AIDS (DAIDS), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), sponsored a 1-day workshop to examine strategies for developing new assays to distinguish recent from chronic HIV infections. Participants included leading investigators, clinicians, public health experts, industry, regulatory specialists, and other stakeholders. Immune-based parameters, markers of viral sequence diversity, and other biomarkers such as telomere length were evaluated. Emerging nanotechnology and chip-based diagnostics, including algorithms for performing diverse assays on a single platform, were also reviewed. This report summarizes the presentations, panel discussions, and the consensus reached for pursuing the development of a new generation of HIV incidence assays.

Indexed as

AlgorithmsBiomarkersCD4-CD8 RatioCost-Benefit AnalysisFemaleGenetic VariationHIV-1HIV InfectionsHumansImmunoglobulin AIncidenceMaleNational Institute of Allergy and Infectious Diseases (U.S.)National Institutes of Health (U.S.)Needs AssessmentTelomere HomeostasisBiomarkersImmunoglobulin A

Identifiers

PMID22206265
PMCPMC3358102
OpenAlexW2110312386

What OpenQuestion holds

Textmetadata
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.