Evidence map›Paper›PMID 30760534›Full record

ArticleJournal of clinical microbiology2019

Evaluation of the Aptima HCV Quant Dx Assay Using Serum and Dried Blood Spots.

Jenna Weber, Malaya K Sahoo, Nathaniel Taylor, Run-Zhang Shi, Benjamin A Pinsky

Open access · bronzeAbstract readComparative StudyEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Jenna WeberDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Malaya K SahooDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Nathaniel TaylorClinical Virology Laboratory, Stanford Health Care, Stanford, California, USA.
Run-Zhang ShiDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Benjamin A PinskyDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA bpinsky@stanford.edu.ORCID 0000-0001-8751-4810
Stanford University · USStanford Health Care · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) RNA quantitation is the primary method by which active HCV infections are identified and the response to direct-acting antiviral therapy is monitored. This study describes the evaluation of the Aptima HCV Quant Dx assay (Aptima HCV) performed on the Panther system. The clinical performance of Aptima HCV was compared to that of the Cobas AmpliPrep/Cobas TaqMan HCV test v2.0 (CAP/CTM). Overall agreement was 84.9% (186/219) with a kappa statistic of 0.755 (standard error, 0.037; 95% confidence interval [CI], 0.682 to 0.828). Passing-Bablok regression of log

Indexed as

Dried Blood Spot TestingGenotypeHepatitis C, ChronicHumansLimit of DetectionMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesReagent Kits, DiagnosticRNA, ViralSensitivity and SpecificityViral LoadReagent Kits, DiagnosticRNA, Viraldried blood spotshepatitis C virusquantitative methods

Identifiers

PMID30760534
PMCPMC6440767
OpenAlexW2914412299

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.