Evidence map›Paper›PMID 41429838›Full record

ArticleScientific reports2025

Construction and validation of a novel model for guiding targeted combined immunotherapy in advanced hepatocellular carcinoma.

Haibin Tu, Siyi Feng, Lihong Chen, Yujie Huang, Juzhen Zhang, Suyu Peng, Dingluan Lin, Xiaojian Ye

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2025. 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

8 authors.

Haibin TuDepartment of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, P. R. China.
Siyi FengDepartment of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, P. R. China.
Lihong ChenDepartment of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, P. R. China.
Yujie HuangDepartment of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, P. R. China.
Juzhen ZhangDepartment of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, P. R. China.
Suyu PengDepartment of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, P. R. China.
Dingluan LinDepartment of PET, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, P. R. China.
Xiaojian YeDepartment of Ultrasound, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350001, P. R. China. xjian_y@163.com.

Funding

Institutional Research Project of Mengchao Hepatobiliary Hospital of Fujian Medical University 2025-LCYJ-05
6 · The paper itself

Abstract

In addressing the challenge of optimizing targeted combined immunotherapy for advanced hepatocellular carcinoma (HCC), this study developed and validated a novel prognostic model, the Target Immunotherapy Predict Model (TIPM), utilizing ultrasound and serological markers. Data from patients at Mengchao Hepatobiliary Hospital and Fujian Provincial Cancer Hospital were analyzed, encompassing demographics, serological markers, and ultrasound findings, including tumor and peritumoral tissue stiffness changes pre- and post-treatment. The multivariate analysis revealed the neutrophil-to-lymphocyte ratio (NLR), ΔT (tumor stiffness change), tumor diameter, and albumin levels as independent predictors of therapy response. The TIPM model, integrating these factors, demonstrated superior predictive accuracy, validated by Receiver Operating Characteristic (ROC) curves, calibration curves, and decision curve analysis across both training and external validation cohorts. This predictive model stands to refine clinical decision-making, potentially improving treatment outcomes for advanced HCC patients by identifying those most likely to benefit from combined immunotherapy approaches.

Indexed as

Carcinoma, HepatocellularImmunotherapyLiver NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedNeutrophilsPrognosisROC CurveAdvanced stageHepatocellular carcinomaImmunotherapyPrediction modelTargeted therapy

Identifiers

PMID41429838
PMCPMC12722753

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.