Evidence map›Paper›PMID 26311857›Full record

ArticleJournal of clinical microbiology2015

Evaluation of Performance of Two Rapid Tests for Detection of HIV-1 and -2 in High- and Low-Prevalence Populations in Nigeria.

Mark M Manak, Ogbonnaya S Njoku, Ashley Shutt, Jennifer Malia, Linda L Jagodzinski, Mark Milazzo, Aminu Suleiman, Amos A Ogundeji, Robert Nelson, Ojor R Ayemoba and 4 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
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

14 authors at 4 institutions in 2 countries.

Mark M ManakHenry Jackson Foundation, MHRP-HJF, Silver Spring, Maryland, USA mmanak@hivresearch.org.ORCID http://orcid.org/0000-0002-9217-9129
Ogbonnaya S NjokuU.S. Military HIV Research Program (HJF-MRI), Abuja, Nigeria.
Ashley ShuttHenry Jackson Foundation, MHRP-HJF, Silver Spring, Maryland, USA.
Jennifer MaliaWalter Reed Army Institute of Research, MHRP-WRAIR, Silver Spring, Maryland, USA.
Linda L JagodzinskiWalter Reed Army Institute of Research, MHRP-WRAIR, Silver Spring, Maryland, USA.
Mark MilazzoHenry Jackson Foundation, MHRP-HJF, Silver Spring, Maryland, USA.
Aminu SuleimanU.S. Military HIV Research Program (HJF-MRI), Abuja, Nigeria.
Amos A OgundejiU.S. Military HIV Research Program (HJF-MRI), Abuja, Nigeria.
Robert NelsonU.S. Military HIV Research Program (HJF-MRI), Abuja, Nigeria.
Ojor R AyemobaU.S. Military HIV Research Program (HJF-MRI), Abuja, Nigeria.
Robert J O'ConnellArmed Forces Research Institute of Medical Sciences (AFRIMS), Bangkok, Thailand.
Darrell E SingerUniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Nelson L MichaelWalter Reed Army Institute of Research, MHRP-WRAIR, Silver Spring, Maryland, USA.
Sheila A PeelWalter Reed Army Institute of Research, MHRP-WRAIR, Silver Spring, Maryland, USA.
Walter Reed Army Institute of Research · USJackson Foundation · USArmed Forces Research Institute of Medical Science · THUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of reliable human immunodeficiency virus types 1 and 2 (HIV-1/2) rapid tests in resource-limited settings represents an important advancement in the accurate diagnosis of HIV infection and presents opportunities for implementation of effective prevention and treatment interventions among vulnerable populations. A study of the potential target populations for future HIV vaccine studies examined the prevalence of HIV infections at six selected sites in Nigeria and evaluated the use of two rapid diagnostic tests (RDTs) for HIV. The populations included market workers at sites adjacent to military installations and workers at highway settlements (truck stops) who may have a heightened risk of HIV exposure. Samples from 3,187 individuals who provided informed consent were tested in parallel using the Determine (DT) and Stat-Pak (SP) RDTs; discordant results were subjected to the Uni-Gold (UG) RDT as a tiebreaker. The results were compared to those of a third-generation enzyme immunoassay screen with confirmation of repeat reactive samples by HIV-1 Western blotting. One participant was HIV-2 infected, yielding positive results on both RDTs. Using the laboratory algorithm as a gold standard, we calculated sensitivities of 98.5% (confidence interval [CI], 97.1 to 99.8%) for DT and 98.1% (CI, 96.7 to 99.6%) for SP and specificities of 98.7% (CI, 98.3 -99.1%) for DT and 99.8% (CI, 99.6 to 100%) for SP. Similar results were obtained when the sites were stratified into those of higher HIV prevalence (9.4% to 22.8%) versus those of lower prevalence (3.2% to 7.3%). A parallel two-test algorithm requiring both DT and SP to be positive resulted in the highest sensitivity (98.1%; CI, 96.7 to 99.6%) and specificity (99.97%; CI, 99.9 to 100%) relative to those for the reference laboratory algorithm.

Indexed as

AIDS VaccinesDiagnostic Tests, RoutineFalse Negative ReactionsFalse Positive ReactionsFemaleHIV-1HIV-2HIV AntibodiesHIV InfectionsHumansImmunoassayNigeriaRNA, ViralSensitivity and SpecificityAIDS VaccinesHIV AntibodiesRNA, Viral

Identifiers

PMID26311857
PMCPMC4609716
OpenAlexW2206091662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.