Evidence map›Paper›PMID 42111212›Full record

ArticleiScience2026

A BCLC-based prognostic nomogram for hepatocellular carcinoma: Development and validation.

Na Li, Di Sun, Xin-Cheng He, Bao-Hua Zhang, Ji Wang, Ming-Cheng Guan, Hong Zhu

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Na LiDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Di SunDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Xin-Cheng HeDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Bao-Hua ZhangDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Ji WangDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Ming-Cheng GuanDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Hong ZhuDepartment of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to improve prognostic prediction for hepatocellular carcinoma by incorporating additional clinical factors into the Barcelona Clinic Liver Cancer staging system. A nomogram was developed using retrospective data from 536 patients and validated in an independent cohort of 102 patients. Independent prognostic factors identified by Cox regression included age, alpha-fetoprotein, gamma-glutamyl transpeptidase, and the Barcelona Clinic Liver Cancer stage. The nomogram showed superior discrimination and calibration compared with the staging system alone, with consistent results in the validation cohort. This tool enables more individualized survival estimation and may assist in clinical decision-making for patients with hepatocellular carcinoma.

Indexed as

Health sciencesHepatologyInternal medicineMedical specialtyMedicine

Identifiers

PMID42111212
PMCPMC13157075

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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.