Evidence map›Paper›PMID 29125877›Full record

ArticlePloS one2017

Impact of tumor burden on prognostic prediction for patients with terminal stage hepatocellular carcinoma: A nomogram study.

Chia-Yang Hsu, Po-Hong Liu, Shu-Yein Ho, Yi-Hsiang Huang, Yun-Hsuan Lee, Yi-You Chiou, Ting-Hui Hsieh, Tom Fang, Ya-Ju Tsai, Ming-Chih Hou and 1 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

11 authors.

Chia-Yang HsuDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Po-Hong LiuDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Shu-Yein HoDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yi-Hsiang HuangDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yun-Hsuan LeeDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yi-You ChiouFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan.
Ting-Hui HsiehGastroenterology Consultants, Reno, NV, United States of America.
Tom FangGastroenterology Consultants, Reno, NV, United States of America.
Ya-Ju TsaiRenown Regional Medical Center, Reno, NV, United States of America.
Ming-Chih HouDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Teh-Ia HuoDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID http://orcid.org/0000-0003-2202-521X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recently proposed nomogram of Barcelona Clinic Liver Cancer (BCLC) lacks predictive accuracy for patients with stage D hepatocellular carcinoma (HCC). Tumor burden is crucial in prognostic prediction but is not included in the criteria of stage D HCC. This study aims to develop a nomogram with tumor burden as the core element for BCLC stage D patients.

methodsA total of 386 patients were randomly grouped into derivation and validation sets (1:1 ratio). The multivariate Cox proportional hazards model was used to select factors with significant prognostic effect and generate the nomogram. Concordance indices and calibration plots were used to evaluate the performance of nomogram.

resultsOverall survival of study patients was significantly associated with tumor burden as well as hepatitis B, serum α-fetoprotein level, cirrhosis and performance status in multivariate Cox regression (all p<0.05). Beta-coefficients of these variables in derivation set were used to generate the nomogram. Each patient was assigned with a total nomogram point that predicted individualized 6-month and 1-year survival. The derivation and validation sets had a c-index of 0.759 (95% confidence interval [CI]: 0.552-0.923) and 0.741 (95% CI: 0.529-0.913), respectively. The calibration plots were close to the 45-degree line for 6-month and 1-year survival prediction for all quarters of patients in both derivation and validation sets.

conclusionTumor burden is significantly associated with the outcome for patients with stage D HCC. The tumor burden-incorporated nomogram may serve as a feasible and easy-to-use tool in predicting survival on an individual level.

Indexed as

AdultAgedAged, 80 and overCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMaleMiddle AgedPrognosis

Identifiers

PMID29125877
PMCPMC5681267

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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.