Evidence map›Paper›PMID 25031444›Full record

ArticleJournal of clinical microbiology2014

SAMBA HIV semiquantitative test, a new point-of-care viral-load-monitoring assay for resource-limited settings.

Allyson V Ritchie, Ines Ushiro-Lumb, Daniel Edemaga, Hrishikesh A Joshi, Annemiek De Ruiter, Elisabeth Szumilin, Isabelle Jendrulek, Megan McGuire, Neha Goel, Pia I Sharma and 2 more

Open access · hybridAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
7.4field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  20. Adaptive Viral Load Monitoring Frequency to Facilitate Differentiated Care: A Modeling Study From Rakai, Uganda.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
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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

12 authors at 4 institutions in 2 countries.

Allyson V RitchieDiagnostic Development Unit, Department of Haematology, University of Cambridge, Cambridge, United Kingdom.
Ines Ushiro-LumbBarts and The London NHS Trust, London, United Kingdom.
Daniel EdemagaMédecins Sans Frontières, Paris, France.
Hrishikesh A JoshiDiagnostic Development Unit, Department of Haematology, University of Cambridge, Cambridge, United Kingdom.
Annemiek De RuiterDepartment of Genitourinary Medicine and HIV, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Elisabeth SzumilinMédecins Sans Frontières, Paris, France.
Isabelle JendrulekDepartment of Genitourinary Medicine and HIV, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Megan McGuireMédecins Sans Frontières, Paris, France.
Neha GoelDiagnostic Development Unit, Department of Haematology, University of Cambridge, Cambridge, United Kingdom.
Pia I SharmaDiagnostic Development Unit, Department of Haematology, University of Cambridge, Cambridge, United Kingdom.
Jean-Pierre AllainDivision of Transfusion Medicine, Department of Haematology, University of Cambridge, Cambridge, United Kingdom.
Helen H LeeDiagnostic Development Unit, Department of Haematology, University of Cambridge, Cambridge, United Kingdom hl207@cam.ac.uk.
University of Cambridge · GBMédecins Sans Frontières · FRGuy's and St Thomas' NHS Foundation Trust · GBBarts Health NHS Trust · GB

Funding

PHS HHS 27220900028CWellcome TrustWellcome Trust RG47055
6 · The paper itself

Abstract

Routine viral-load (VL) testing of HIV-infected individuals on antiretroviral therapy (ART) is used to monitor treatment efficacy. However, due to logistical challenges, implementation of VL has been difficult in resource-limited settings. The aim of this study was to evaluate the performance of the SAMBA semi-Q (simple amplification-based assay semiquantitative test for HIV-1) in London, Malawi, and Uganda. The SAMBA semi-Q can distinguish between patients with VLs above and below 1,000 copies/ml. The SAMBA semi-Q was validated with diluted clinical samples and blinded plasma samples collected from HIV-1-positive individuals. SAMBA semi-Q results were compared with results from the Roche COBAS AmpliPrep/COBAS TaqMan HIV-1 test, v2.0. Testing of 96 2- to 10-fold dilutions of four samples containing HIV-1 subtype C as well as 488 samples from patients in the United Kingdom, Malawi, and Uganda yielded an overall accuracy for the SAMBA semi-Q of 99% (95% confidence interval [CI], 93.8 to 99.9%) and 96.9% (95% CI 94.9 to 98.3%), respectively, compared to to the Roche test. Analysis of VL data from patients in Malawi and Uganda showed that the SAMBA cutoff of 1,000 copies/ml appropriately distinguished treated from untreated individuals. Furthermore, analysis of the viral loads of 232 patients on ART in Malawi and Uganda revealed similar patterns for virological control, defined as either <1,000 copies/ml (SAMBA cutoff) or <5,000 copies/ml (WHO 2010 criterion; WHO, Antiretroviral Therapy for HIV Infection in Adults and Adolescents: Recommendations for a Public Health Approach, 2010). This study suggests that the SAMBA semi-Q has adequate concurrency with the gold standard measurements for viral load. This test can allow VL monitoring of patients on ART at the point of care in resource-limited settings.

Indexed as

Point-of-Care SystemsAdolescentAdultAgedDrug MonitoringFemaleHIV-1HIV InfectionsHumansLondonMalawiMaleMiddle AgedUgandaUnited KingdomViral Load

Identifiers

PMID25031444
PMCPMC4313165
OpenAlexW1967857516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.