Evidence map›Paper›PMID 26420942›Full record

ArticleAsian journal of transfusion science

Establishing a sample-to cut-off ratio for lab-diagnosis of hepatitis C virus in Indian context.

Aseem K Tiwari, Prashant K Pandey, Avinash Negi, Ruchika Bagga, Ajay Shanker, Usha Baveja, Raina Vimarsh, Richa Bhargava, Ravi C Dara, Ganesh Rawat

Open access · diamondAbstract read
In one paragraph

Article in Asian journal of transfusion science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

10 authors at 2 institutions in 1 country.

Aseem K TiwariDepartment of Transfusion Medicine, Medanta-The Medicity, Gurgaon, Haryana, India.
Prashant K PandeyDepartment of Transfusion Medicine, Medanta-The Medicity, Gurgaon, Haryana, India.
Avinash NegiDepartment of Transfusion Medicine, Medanta-The Medicity, Gurgaon, Haryana, India.
Ruchika BaggaDepartment of Microbiology, Fortis Memorial Research Institute, Gurgaon, Haryana, India.
Ajay ShankerDepartment of Transfusion Medicine, Medanta-The Medicity, Gurgaon, Haryana, India.
Usha BavejaDepartment of Microbiology, Medanta-The Medicity, Gurgaon, Haryana, India.
Raina VimarshDepartment of Transfusion Medicine, Medanta-The Medicity, Gurgaon, Haryana, India.
Richa BhargavaDepartment of Gastroenterology, Medanta-The Medicity, Gurgaon, Haryana, India.
Ravi C DaraDepartment of Transfusion Medicine, Medanta-The Medicity, Gurgaon, Haryana, India.
Ganesh RawatDepartment of Transfusion Medicine, Medanta-The Medicity, Gurgaon, Haryana, India.
Medanta The Medicity · INFortis Memorial Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLab-diagnosis of hepatitis C virus (HCV) is based on detecting specific antibodies by enzyme immuno-assay (EIA) or chemiluminescence immuno-assay (CIA). Center for Disease Control reported that signal-to-cut-off (s/co) ratios in anti-HCV antibody tests like EIA/CIA can be used to predict the probable result of supplemental test; above a certain s/co value it is most likely to be true-HCV positive result and below that certain s/co it is most likely to be false-positive result. A prospective study was undertaken in patients in tertiary care setting for establishing this "certain" s/co value. MATERIALS AND

methodsThe study was carried out in consecutive patients requiring HCV testing for screening/diagnosis and medical management. These samples were tested for anti-HCV on CIA (VITROS(®) Anti-HCV assay, Ortho-Clinical Diagnostics, New Jersey) for calculating s/co value. The supplemental nucleic acid test used was polymerase chain reaction (PCR) (Abbott). PCR test results were used to define true negatives, false negatives, true positives, and false positives. Performance of different putative s/co ratios versus PCR was measured using sensitivity, specificity, positive predictive value and negative predictive value and most appropriate s/co was considered on basis of highest specificity at sensitivity of at least 95%.

resultsAn s/co ratio of ≥6 worked out to be over 95% sensitive and almost 92% specific in 438 consecutive patient samples tested.

conclusionThe s/co ratio of six can be used for lab-diagnosis of HCV infection; those with s/co higher than six can be diagnosed to have HCV infection without any need for supplemental assays.

Indexed as

Anti-hepatitis C virus testsCenter for Disease Controlchemiluminescence immuno-assaypolymerase chain reactiontesting algorithm

Identifiers

PMID26420942
PMCPMC4562143
OpenAlexW1997484122

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.