Evidence map›Paper›PMID 27811374›Full record

ArticleOncotarget2016

Prognostic nomograms for patients with resectable hepatocelluar carcinoma incorporating systemic inflammation and tumor characteristics.

Junyi Shen, Linye He, Chuan Li, Tianfu Wen, Weixia Chen, Changli Lu, Lvnan Yan, Bo Li, Jiayin Yang

Open access · diamondAbstract readComparative StudyValidation 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 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  10. [Plasma mannan?binding lectin and MBL?associated serine protease 2 in patients with hepatocellular carcinoma].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2017
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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

9 authors at 2 institutions in 1 country.

Junyi ShenDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
Linye HeDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
Chuan LiDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
Tianfu WenDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
Weixia ChenDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Changli LuDepartment of Pathology, West China Hospital, Sichuan University, Chengdu, China.
Lvnan YanDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
Bo LiDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
Jiayin YangDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe model to predict the prognosis of resectable hepatocelluar carcinoma (HCC) has not been determined.

methodsPredictors were selected using Cox model. Nomograms were generated in the training set and validated in the validation set. The predictive ability of the nomogram was determined by concordance index and calibration curve.

resultsIndependent factors for overall survival including alpha-fetoprotein level (hazard ratio (HR):1.292), tumor size (HR:1.092), tumor number (HR:1.472), microvascular invasion (HR:1.660), neutrophil to lymphocyte count ratio (NLR) (HR:1.428), major vascular invasion (HR:2.485) and satellite lesions(HR:1.392) were selected into the nomogram for survival. The c-index in the training set and validation set were 0.767 and 0.719, respectively, which were statistically higher than those of the four conventional staging systems.(Barcelona Clinic Liver Cancer: 0.644 and 0.609; the seventh American Joint Committee on Cancer: 0.678 and 0.674; Cancer of the Liver Italian Program: 0.692 and 0.648; Hong Kong Liver Cancer: 0.689 and 0.639, p < 0.001 for all). A nomogram for predicting 3- and 5-year recurrence free survival was generated with the c-index of 0.746 for the training set and 0.718 for the validation set, respectively.

conclusionsWe have generated nomograms predicting prognosis for HCC treated by hepatectomy with a higher predictive power.

Indexed as

Decision Support TechniquesHepatectomyNomogramsBiomarkers, TumorCarcinoma, HepatocellularClinical Decision-MakingDisease-Free SurvivalDisease ProgressionFemaleHumansInflammationKaplan-Meier EstimateLiver NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalBiomarkers, TumorHCChepatectomynomogramprognosis

Identifiers

PMID27811374
PMCPMC5348354
OpenAlexW2547699887

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.