Evidence map›Paper›PMID 37312022›Full record

ArticleBMC gastroenterology2023

Construction and validation of a survival prognostic model for stage III hepatocellular carcinoma: a real-world, multicenter clinical study.

Shuai Hao, Rongkun Luo, Wei Li, Ruhan Zhao, Tong Qi, Zichen Wang, Nan Li, Ming Liu

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 84% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Shuai HaoDepartment of Oncology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Rongkun LuoDepartment of Hepatobiliary and Pancreatic Surgery, Third Xiangya Hospital, Central South University, Changsha, Hunan, PR China.
Wei LiDepartment of Oncology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Ruhan ZhaoDepartment of Oncology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Tong QiDepartment of Oncology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Zichen WangDepartment of Oncology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Nan LiDepartment of Oncology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China. linanssy@hebmu.edu.cn.
Ming LiuDepartment of Oncology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China. 13313012920@163.com.
Hebei Medical University · CNCentral South University · CNThird Hospital of Hebei Medical University · CN

Funding

Graduate Education and Teaching Reform Project of Hebei Medical University. 2022-11
6 · The paper itself

Abstract

objectiveTo construct a survival prediction model for patients with TNM stage III hepatocellular carcinoma (HCC) to guide the clinical diagnosis and treatment of HCC patients and improve prognosis.

methodsBased on data from patients with stage III (AJCC 7th TNM stage) recorded by the American Institute of Cancer Research from 2010 to 2013, risk factors affecting the prognosis were screened by Cox univariate and multivariate regression, line plots was constructed, and the credibility of the model was verified by Boostrap method. ROC operating curves, calibration curves and DCA clinical decision curves were used to evaluate the model, and Kaplan-Meier was used for survival analysis was used to evaluate the efficacy of the model. External survival data from patients newly diagnosed with stage III hepatocellular carcinoma during 2014-2015 were used to validate and fit the model and to optimize the model.

resultsAge > 75 years vs.18-53 years [HR = 1.502; 95%CI(1.134-1.990)], stage IIIC vs. Stage IIIA [HR = 1.930; 95%CI(1.509-2.470)], lobotomy vs. non-surgery [HR = 0.295; 95%CI(0.228-0.383)], radiotherapy vs. non-radiotherapy [HR = 0.481; 95%CI(0.373-0.619)], chemotherapy vs. Non-chemotherapy [HR = 0.443; 95%CI(0.381-0.515)], positive serum AFP before treatment vs. negative [HR = 1.667; 95%CI(1.356-2.049)], the above indicators are independent prognostic factors for patients with stage III hepatocellular carcinoma, and the P values for the above results were less than 0.05. A joint prediction model was constructed based on age, TNM stage, whether and how to operate, whether to receive radiotherapy, whether to receive chemotherapy, pre-treatment serum AFP status and liver fibrosis score. The consistency index of the improved prognosis model was 0.725.

conclusionsThe traditional TNM staging has limitations for clinical diagnosis and treatment, while the Nomogram model modified by TNM staging has good predictive efficacy and clinical significance.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAgedalpha-FetoproteinsHumansNomogramsPrognosisalpha-FetoproteinsHepatocellular carcinoma (HCC)NomogramOverall survival(OS)Prognosis

Identifiers

PMID37312022
PMCPMC10265882
OpenAlexW4380482229

What OpenQuestion holds

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LicenceCC BY
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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.