Evidence map›Paper›PMID 35782888›Full record

ArticleHepatology forum2021

ATA Index: A novel score for predicting fibrosis stage in chronic viral hepatitis.

Handan Yarkan Tugsal, Selcen Yuksel, Gokhan Kabacam, Sami Evirgen, Kubra Akan, Filiz Akyuz, Mine Gulluoglu, Esra Erden, A Mithat Bozdayi, Kubilay Cinar and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Hepatology forum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 82% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

14 authors at 1 institution in 1 country.

Handan Yarkan TugsalDepartment of Internal Medicine, Ankara University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0003-0633-790X
Selcen YukselDepartment of Biostatistics, Yildirim Beyazit University, Ankara, Turkey.ORCID https://orcid.org/0000-0002-8994-8660
Gokhan KabacamDivision of Gastroenterology, Department of Internal Medicine, Ankara University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-2099-9697
Sami EvirgenDivision of Gastroenterology, Department of Internal Medicine, Istanbul University School of Medicine, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-6920-777X
Kubra AkanDivision of Gastroenterology, Department of Internal Medicine, Istanbul University School of Medicine, Istanbul, Turkey.ORCID https://orcid.org/0000-0003-4138-3194
Filiz AkyuzDivision of Gastroenterology, Department of Internal Medicine, Istanbul University School of Medicine, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-7498-141X
Mine GulluogluDepartment of Pathology, Istanbul University School of Medicine, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-3967-0779
Esra ErdenDepartment of Pathology, Ankara University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-4174-8897
A Mithat BozdayiDivision of Gastroenterology, Department of Internal Medicine, Ankara University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-2785-1804
Kubilay CinarDivision of Gastroenterology, Department of Internal Medicine, Ankara University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0001-6872-2016
Ramazan IdilmanDivision of Gastroenterology, Department of Internal Medicine, Ankara University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8840-5472
Cihan YurdaydinDivision of Gastroenterology, Department of Internal Medicine, Ankara University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-5419-7158
Sabahattin KaymakogluDivision of Gastroenterology, Department of Internal Medicine, Istanbul University School of Medicine, Istanbul, Turkey.ORCID https://orcid.org/0000-0003-4910-249X
Hakan BozkayaDivision of Gastroenterology, Department of Internal Medicine, Ankara University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8362-2670
Ankara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: This study was designed to predict the fibrosis stage with a clinical scoring system that may reduce the need for liver biopsy. Materials and Methods: The study cohort included the treatment of 430 chronic hepatitis B (CHB) and 170 chronic hepatitis C (CHC) of naive patients. The patients were divided into two groups as mild to moderate and severe fibrosis. After an index obtained in the study cohort, the index was tested in a validation cohort and compared with the FIB-4 Index. Results: The AUC of CHC index was found of 0.89 the sensitivity of 0.91 the specificity of 0.74, the positive predictive value (PPV) of 0.54 and the negative predictive value (NPV) of 0.96. The FIB-4 Index was applied to the CHC study cohort and the ATA Index Hepatitis C was found to be superior in terms of AUC (0.89-0.82), sensitivity (0.91-0.76) and NPV (0.96-0.86). The AUC of CHB Index was determined of 0.92, the sensitivity of 0.90, the specificity of 0.84, the PPV of 0.53 and the NPV of 0.98. Compared to the FIB-4 Index in CHB study cohort, the ATA Index Hepatitis B was predominant in terms of AUC (0.92-0.88), sensitivity (0.90-0.75), NPV (0.98-0.94) and PPV (0.53-0.49). Conclusion: ATA Indexes can predict the non-existence of severe fibrosis with an accuracy similar to FIB-4 Index and may reduce the need for liver biopsy.

Indexed as

FIB-4Fibrosisnon-invasiveviral hepatitis

Identifiers

PMID35782888
PMCPMC9138929
OpenAlexW3096891720

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.