Evidence map›Paper›PMID 19547711›Full record

ArticlePloS one2009

Reliability at the lower limits of HIV-1 RNA quantification in clinical samples: a comparison of RT-PCR versus bDNA assays.

Ronald J Lubelchek, Blake Max, Caroline J Sandusky, Bala Hota, David E Barker

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 13 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

5 authors at 3 institutions in 1 country.

Ronald J LubelchekDivision of Infectious Diseases, John H Stroger, Jr Hospital of Cook County, Chicago, IL, USA. rlubel@gmail.com
Blake Max
Caroline J Sandusky
Bala Hota
David E Barker
John H. Stroger, Jr. Hospital of Cook County · USRush University Medical Center · USRuth M. Rothstein CORE Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo explore whether an assay change was responsible for an increasing proportion of patients with undetectable HIV viral loads at our urban HIV clinic, we selected highly stable patients, examining their viral loads before and after changing assays. We compared the proportion with detectable viremia during RT-PCR vs. bDNA periods. METHODOLOGY/PRINCIPAL

findingsWe selected patients with > or =1 viral loads assessed during both RT-PCR and bDNA periods. We included patients with stable CD4 counts, excluding patients with viral loads > or =1,000 copies/ml or any significant changes in therapy. Out of 4500 clinic patients, 419 patients (1588 viral loads) were included. 39% of viral loads were reported as detectable by RT-PCR vs. 5% reported as detectable by bDNA. The mean coefficient of variation was higher before vs. after assay change. We found an odds' ratio of 16.7 for having a viral load >75 copies/ml during the RT-PCR vs. bDNA periods. DISCUSSION: These data support previous reports, suggesting that bDNA may more reliably discriminate between viral suppression and low level viremia in stable patients on therapy. Low-level viremia, noted more with RT-PCR, may promote unneeded testing, while differences in viral load reliability may impact antiretroviral trial and quality assurance endpoints. Commonly used plasma separator tubes may differentially affect RT-PCR and bDNA results.

Indexed as

RNA, ViralAdultBranched DNA Signal Amplification AssayCD4 AntigensCohort StudiesFemaleHIV-1HIV InfectionsHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionViral LoadViremiaCD4 AntigensRNA, Viral

Identifiers

PMID19547711
PMCPMC2696104
OpenAlexW1972967979

What OpenQuestion holds

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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.