Evidence map›Paper›PMID 36769597›Full record

ReviewJournal of clinical medicine2023

The Performance of GALAD Score for Diagnosing Hepatocellular Carcinoma in Patients with Chronic Liver Diseases: A Systematic Review and Meta-Analysis.

Ming-Cheng Guan, Shi-Yu Zhang, Qian Ding, Na Li, Ting-Ting Fu, Gui-Xia Zhang, Qian-Qian He, Feng Shen, Tian Yang, Hong Zhu

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Ming-Cheng GuanDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.ORCID 0000-0002-7845-3689
Shi-Yu ZhangDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Qian DingDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Na LiDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Ting-Ting FuDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Gui-Xia ZhangDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Qian-Qian HeDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Feng ShenDepartment of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Navy Medical University), Shanghai 200438, China.
Tian YangDepartment of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Navy Medical University), Shanghai 200438, China.
Hong ZhuDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.

Funding

Jiangsu Six Talent Peaks Project WSN-102Key Research and Development Program of Social Development of Jiangsu Province BE2022725National Natural Science Foundation of China 81871949National Natural Science Foundation of China 82171834
6 · The paper itself

Abstract

Background GALAD score, comprising five clinical parameters, is a predictive model developed for hepatocellular carcinoma (HCC) detection. Since its emergence, its diagnostic ability has been validated in different populations with a wide variation. Therefore, we conducted a meta-analysis to investigate its overall diagnostic performance in differentiating HCC in chronic liver diseases. Methods Eligible studies were searched in the

Indexed as

chronic liver diseasediagnosisearly detectionGALAD scorehepatocellular carcinoma

Identifiers

PMID36769597
PMCPMC9918029

What OpenQuestion holds

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Registered trials

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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.