Evidence map›Paper›PMID 19949727›Full record

ArticleThe Korean journal of internal medicine2009

Significance of anti-HCV signal-to-cutoff ratio in predicting hepatitis C viremia.

Yeon Seok Seo, Eun Suk Jung, Jeong Han Kim, Young Kul Jung, Ji Hoon Kim, Hyonggin An, Hyung Joon Yim, Jong Eun Yeon, Kwan Soo Byun, Chang Duck Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Yeon Seok SeoDepartment of Internal Medicine, Korea University College of Medicine, Seongbuk-gu, Seoul, Korea.
Eun Suk Jung
Jeong Han Kim
Young Kul Jung
Ji Hoon Kim
Hyonggin An
Hyung Joon Yim
Jong Eun Yeon
Kwan Soo Byun
Chang Duck Kim
Ho Sang Ryu
Soon Ho Um
Korea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsHepatitis C virus (HCV) RNA testing can be performed using qualitative or quantitative assays, and it is still unclear which is more useful as a primary test in patients positive for anti-HCV. The present study evaluated the usefulness of anti-HCV signal-to-cutoff ratio (S/CO ratio) for predicting HCV RNA results.

methodsPatients on whom a qualitative HCV RNA test was performed due to a positive anti-HCV enzyme immunoassay were enrolled. Patients were divided into viremia and no-viremia groups according to HCV RNA results. Receiver-operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of anti-HCV S/CO for a diagnosis of viremia.

resultsIn total, 487 patients were enrolled. HCV RNA was positive in 301 subjects (61.8%). Age, serum ALT level, and anti-HCV S/CO ratio were significantly different between the viremia and no-viremia groups. By ROC curve analysis, anti-HCV S/CO ratio (area, 0.989; 95% confidence interval, 0.981 to 0.998) accurately predicted the presence of viremia, with a cutoff value of 10.9 (sensitivity, 94.4%; specificity, 97.3%).

conclusionsAnti-HCV S/CO ratio was found to be highly accurate at predicting HCV viremia. The anti-HCV S/CO ratio can be used to determine whether a quantitative or qualitative HCV RNA test should be used to confirm HCV viremia in patients with a positive anti-HCV by the following criteria: if the anti-HCV S/CO ratio is <10.9, a qualitative HCV RNA test can be used, and if the anti-HCV S/CO ratio is >or=10.9 a quantitative HCV RNA test can be performed.

Indexed as

AdultAgedFemaleHepatitis CHepatitis C AntibodiesHumansImmunoenzyme TechniquesMaleMiddle AgedRNA, ViralViremiaHepatitis C AntibodiesRNA, ViralAntibody titerEnzyme immunoassayHepatitis C virusViremia

Identifiers

PMID19949727
PMCPMC2784972
OpenAlexW2148336507

What OpenQuestion holds

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LicenceCC BY-NC
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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.