Evidence map›Paper›PMID 36969888›Full record

ArticleJournal of clinical and translational hepatology2023

Value of Non-tumoral Liver Volume in the Prognosis of Large Hepatocellular Carcinoma Patients After R0 Resection.

Dongliang Zuo, Yuntong Li, Hongzhi Liu, Dongxu Liu, Qinliang Fang, Pengtao Li, Liang Tu, Yu Xiong, Yongyi Zeng, Pingguo Liu

Abstract read
In one paragraph

Article in Journal of clinical and translational hepatology, 2023. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Dongliang ZuoDepartment of Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.ORCID https://orcid.org/0000-0002-0384-0959
Yuntong LiDepartment of Hepatobiliary Surgery, Zhongshan Hospital Xiamen University, Xiamen, Fujian, China.ORCID https://orcid.org/0000-0002-3538-18
Hongzhi LiuDepartment of Hepatobiliary Surgery, Mengchao Hepatobiliary Surgery Hospital of Fujian Medical University, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0001-7102-6855
Dongxu LiuPublic Health Clinical Center of Chengdu, Chengdu, Sichuan, China.
Qinliang FangDepartment of Hepatobiliary Surgery, Zhongshan Hospital Xiamen University, Xiamen, Fujian, China.
Pengtao LiDepartment of Hepatobiliary Surgery, Zhongshan Hospital Xiamen University, Xiamen, Fujian, China.
Liang TuDepartment of Hepatobiliary Surgery, Zhongshan Hospital Xiamen University, Xiamen, Fujian, China.
Yu XiongDepartment of Hepatobiliary Surgery, Zhongshan Hospital Xiamen University, Xiamen, Fujian, China.
Yongyi ZengDepartment of Hepatobiliary Surgery, Mengchao Hepatobiliary Surgery Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Pingguo LiuDepartment of Hepatobiliary Surgery, Zhongshan Hospital Xiamen University, Xiamen, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Hepatectomy is an effective treatment for selected patients with large hepatocellular carcinoma (HCC). This study aimed to develop a nomogram incorporating non-tumoral liver volume (non-TLV) and liver function markers to predict the patients' overall survival (OS) and disease-free survival (DFS). Methods: Data of 198 consecutive large HCC patients who underwent hepatectomy at the Zhongshan Hospital Xiamen University were collected. Another 68 patients from the Mengchao Hepatobiliary Surgery Hospital served as an external validation cohort. The nomograms were developed based on the independent prognostic factors screened by multivariate Cox regression analyses. Concordance index (C-index), calibration curves, and time-dependent receiver operating characteristic (ROC) curves were used to measure the discrimination and predictive accuracy of the models. Results: High HBV DNA level, low non-TLV/ICG, vascular invasion, and a poorly differentiated tumor were confirmed as independent risk factors for both OS and DFS. The model established in this study predicted 5-year post-operative survival and DFS in good agreement with the actual observation confirmed by the calibration curves. The C-indexes of the nomograms in predicting OS and DFS were 0.812 and 0.823 in the training cohort, 0.821 and 0.846 in the internal validation cohort, and 0.724 and 0.755 in the external validation cohort. The areas under the ROC curves (AUCs) of nomograms for predicted OS and DFS at 1, 3, and 5 year were 0.85, 0.86, 0.83 and 0.76, 0.76, 0.63, respectively. Conclusions: Nomograms with non-TLV/ICG predicted the prognosis of single large HCC patients accurately and effectively.

Indexed as

HepatectomyHepatocellular carcinomaNomogramPrognosis

Identifiers

PMID36969888
PMCPMC10037504

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.