Evidence map›Paper›PMID 38550799›Full record

ArticleJournal of clinical and experimental hepatology

Agreement of Gallbladder Reporting and Data System for Gallbladder Wall Thickening at Ultrasonography: A Multireader Validation Study.

Raghuraman Soundararajan, Pavithra Subramanian, Pankaj Gupta, Pratyaksha Rana, Manika Chhabra, Shravya Singh, Ruby Siddiqui, Chandan Das, Thakur D Yadav, Vikas Gupta and 8 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Early Diagnosis of Gall Bladder Cancer: An Appeal.South Asian journal of cancer · 2025
    Article
  4. 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

18 authors at 1 institution in 1 country.

Raghuraman SoundararajanDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pavithra SubramanianDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pankaj GuptaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pratyaksha RanaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Manika ChhabraDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Shravya SinghDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ruby SiddiquiDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Chandan DasDepartment of Clinical Hematology and Medical Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Thakur D YadavDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Vikas GuptaDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Lileswar KamanDepartment of General Surgery, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Harjeet SinghDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Santosh IrrinkiDepartment of General Surgery, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Parikshaa GuptaDepartment of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Uma N SaikiaDepartment of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ritambhra NadaDepartment of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Usha DuttaDepartment of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Manavjit S SandhuDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This article aims to evaluate the intrareader and interreader agreement of ultrasound (US) gallbladder reporting and data system (GB-RADS) and validate the risk of malignancy in each GB-RADS category. Materials and methods: This retrospective study comprised consecutive patients with nonacute gallbladder wall thickening who underwent US evaluation between January 2019 and December 2022. Three radiologists independently read the static US images and cine-loops for GB-RADS findings and assigned GB-RADS categories. The intraobserver (static images) and interobserver (static images and cine-loops) agreement was calculated using kappa statistics and Krippendorff's alpha. Another radiologist assigned a consensus GB-RADS category. The percentage of malignancy in each GB-RADS category was calculated. Results: Static US images of 414 patients (median age, 56 years; 288 women, benign = 45.6% and malignant = 54.4%) and cine-loops of 50 patients were read. There was weak to moderate intrareader agreement for most GB-RADS findings and moderate intrareader agreement for the GB-RADS category for all readers. On static images, the interreader agreement was acceptable for GB-RADS categories. On cine-loops, the interreader agreement for GB-RADS findings and categories was better than static images. The percentage of malignancy was 1.2%, 37%, 71.1%, and 89.1% in GB-RADS 2, 3, 4, and 5 categories. Conclusion: GB-RADS has moderate intrareader for GB-RADS categories. As originally proposed, the risk of malignancy is negligible in GB-RADS 2 category and highest in GB-RADS 5 category. However, the discriminatory performance of GB-RADS 3 and 4 categories is low. Larger multicenter studies with more readers must assess the reader agreement and validate the GB-RADS systems for wider clinical utilization.

Indexed as

data reportinggallbladdergallbladder cancergallbladder diseasesultrasound

Identifiers

PMID38550799
PMCPMC10966770
OpenAlexW4392468070

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.