ArticleJournal of clinical microbiology2009
Evaluation of the Cavidi ExaVir Load assay (version 3) for plasma human immunodeficiency virus type 1 load monitoring.
Article in Journal of clinical microbiology, 2009. 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.
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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Systematic review of the performance of HIV viral load technologies on plasma samples.PloS one · 2014Pooled it
- Impact of peer support on virologic failure in HIV-infected patients on antiretroviral therapy - a cluster randomized controlled trial in Vietnam.BMC infectious diseases · 2016Trial
- Can HIV reverse transcriptase activity assay be a low-cost alternative for viral load monitoring in resource-limited settings?BMJ open · 2016Trial
- Diagnosis of Human Immunodeficiency Virus Infection.Clinical microbiology reviews · 2019Review
- Assessment of the Cavidi ExaVir Load Assay for Monitoring Plasma Viral Load in HIV-2-Infected Patients.Journal of clinical microbiology · 2017Article
- Factors Influencing Antiretroviral Adherence and Virological Outcomes in People Living with HIV in the Highlands of Papua New Guinea.PloS one · 2015Article
- Performance and logistical challenges of alternative HIV-1 virological monitoring options in a clinical setting of Harare, Zimbabwe.BioMed research international · 2014Article
- Point of Care Technologies for HIV.AIDS research and treatment · 2014Review
- Low-cost tools for diagnosing and monitoring HIV infection in low-resource settings.Bulletin of the World Health Organization · 2012Article
- Low-cost assays for monitoring HIV infected individuals in resource-limited settings.The Indian journal of medical research · 2011Review
- Performance characteristics of the Cavidi ExaVir viral load assay and the ultra-sensitive P24 assay relative to the Roche Monitor HIV-1 RNA assay.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2010Article
- HIV-1 viral load and phenotypic antiretroviral drug resistance assays based on reverse transcriptase activity in comparison to amplification based HIV-1 RNA and genotypic assays.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We evaluated the new low-cost ExaVir Load (version 3) reverse transcriptase viral load assay against the Roche Cobas Amplicor assay. Results for samples tested using the reverse transcriptase assay correlated well with those obtained with the Roche assay (r = 0.85; n = 202). The version 3 reverse transcriptase assay shows improved sensitivity compared to the previous version.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.