Evidence map›Paper›PMID 32788423›Full record

ArticleAging2020

Integrated nomograms to predict overall survival and recurrence-free survival in patients with combined hepatocellular cholangiocarcinoma (cHCC) after liver resection.

Tao Wang, Xianwei Yang, Huairong Tang, Junjie Kong, Shu Shen, Haizhou Qiu, Wentao Wang

Open access · greenAbstract read
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Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Tao WangDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, P. R. China.
Xianwei YangDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, P. R. China.
Huairong TangPhysical Examination Center, West China Hospital of Sichuan University, Chengdu 610041, P. R. China.
Junjie KongDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, P. R. China.
Shu ShenDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, P. R. China.
Haizhou QiuDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, P. R. China.
Wentao WangDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, P. R. China.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current clinical classification of primary liver cancer is unable to efficiently predict the prognosis of combined hepatocellular cholangiocarcinoma (cHCC). Accurate satellite nodules (SAT) and microvascular invasion (MVI) prediction in cHCC patients is very important for treatment decision making and prognostic evaluation. The aim of this work was to explore important factors affecting the prognosis of cHCC patients after liver resection and to develop preoperative nomograms to predict SAT and MVI in cHCC patients. The nomogram was developed using the data from 148 patients who underwent liver resection for cHCC patients at our hospital between January 2006 and December 2014. Based on the results of the multivariate analysis, a nomogram integrating all significant independent factors affecting overall survival and recurrence-free survival was constructed to predict the prognosis of cHCC. Next, risk factors for SAT and MVI were evaluated with logistic regression. Blood signatures were established using the LASSO regression, and then, we combined the clinical risk factors and blood signatures of the patients to establish predictive models for SAT and MVI. The C-index of the nomogram for predicting survival was 0.685 (95% CI, 0.638 to 0.732), which was significantly higher than the C-index for other liver cancer classification systems.

Indexed as

HepatectomyNomogramsAdultAgedBile Duct NeoplasmsCarcinoma, HepatocellularCholangiocarcinomaDisease-Free SurvivalFemaleHumansLiver NeoplasmsMaleMicrovesselsMiddle AgedNeoplasm InvasivenessNeoplasms, Multiple Primarycombined hepatocellular cholangiocarcinoma (cHCC)least absolute shrinkage and selection operator (LASSO)microvascular invasion (MVI)prognosissatellite nodules (SAT)

Identifiers

PMID32788423
PMCPMC7467372
OpenAlexW3049002135

What OpenQuestion holds

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LicenceCC BY
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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.