Evidence map›Paper›PMID 27542216›Full record

ArticleOncotarget2016

Nomogram for preoperative estimation of long-term survival of patients who underwent curative resection with hepatocellular carcinoma beyond Barcelona clinic liver cancer stage A1.

Dan-Yun Ruan, Ze-Xiao Lin, Tian-Tian Wang, Hui Zhao, Dong-Hao Wu, Jie Chen, Min Dong, Qu Lin, Xiang-Yuan Wu, Yang Li

Abstract readValidation Study
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Nomograms in Hepatectomy Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2019
    Article
  8. Article
  9. Review
  10. Observational
  11. Review
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.

Dan-Yun RuanDepartment of Medical Oncology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Ze-Xiao LinDepartment of Medical Oncology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Tian-Tian WangDepartment of Medical Oncology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Hui ZhaoDepartment of Liver Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Dong-Hao WuDepartment of Medical Oncology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Jie ChenDepartment of Medical Oncology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Min DongDepartment of Medical Oncology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Qu LinDepartment of Medical Oncology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Xiang-Yuan WuDepartment of Medical Oncology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China.
Yang LiDepartment of Liver Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThis retrospective cohort study developed a prognostic nomogram to predict the survival of hepatocellular carcinoma (HCC) patients diagnosed as beyond Barcelona clinic liver cancer stage A1 after resection and evaluated the possibility of using the nomogram as a treatment algorithm reference.

resultsThe predictors included in the nomogram were total tumour volume, Child-Turcotte-Pugh class, plasma fibrinogen and portal vein tumour thrombus. Patients diagnosed as beyond A1 were stratified into low-, medium- and high-risk groups using nomogram scores of 0 and 51 with the total points of 225. Patients within A1 exhibited similar recurrence-free survival (RFS) and overall survival (OS) rates compared with the low-risk group. Patients in the medium-risk group exhibited a similar OS but a worse RFS rates compared with patients within A1. The high-risk group was associated with worse RFS and OS rates compared with the patients within A1 (3-year RFS rates, 27.0% vs. 60.3%, P < 0.001; 3-year OS rates, 49.2% vs. 83.1%, P < 0.001).

methodsA total of 352 HCC patients undergoing curative resection from September 2003 to December 2012 were included to develop a nomogram to predict overall survival after resection. Univariate and multivariate survival analysis were used to identify prognostic factors. A visually orientated nomogram was constructed using a Cox proportional hazards model.

conclusionsThis user-friendly nomogram offers an individualized preoperative recurrence risk estimation and stratification for HCC patients beyond A1 undergoing resection. Resection should be considered the first-line treatment for low-risk patients.

Indexed as

HepatectomyNomogramsAdultCarcinoma, HepatocellularDisease-Free SurvivalFemaleFollow-Up StudiesHumansKaplan-Meier EstimateLiver NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProportional Hazards ModelsBarcelona clinic liver cancer stagehepatocellular carcinomanomogramresectionsurvival

Identifiers

PMID27542216
PMCPMC5308658

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.