Evidence map›Paper›PMID 35227269›Full record

ArticleWorld journal of surgical oncology2022

Development and validation of nomogram to predict very early recurrence of combined hepatocellular-cholangiocarcinoma after hepatic resection: a multi-institutional study.

Yijun Wu, Hongzhi Liu, Jianxing Zeng, Yifan Chen, Guoxu Fang, Jinyu Zhang, Weiping Zhou, Yongyi Zeng, Jingfeng Liu

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 16 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

9 authors at 4 institutions in 1 country.

Yijun Wu *Department of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, People's Republic of China.
Hongzhi Liu *Department of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, People's Republic of China.
Jianxing Zeng *Department of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, People's Republic of China.
Yifan Chen *Shengli Clinical Medical College of Fujian Medical University, Fuzhoum, People's Republic of China.
Guoxu FangDepartment of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, People's Republic of China.
Jinyu ZhangDepartment of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, People's Republic of China.
Weiping ZhouDepartment of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 200438, People's Republic of China.
Yongyi ZengDepartment of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, People's Republic of China. lamp197311@126.com.
Jingfeng LiuFujian Medical University Cancer Hospital & Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China. drjingfeng@126.com.
Mengchao Hepatobiliary Hospital · CNFujian Medical University · CNEastern Hepatobiliary Surgery Hospital · CNFujian Provincial Cancer Hospital · CN

Funding

Fuzhou Science and Technology Bureau project 2020-WS-57Fuzhou Science and Technology Bureau project 2020-WS-92
6 · The paper itself

Abstract

BACKGROUND AND

objectivesCombined hepatocellular cholangiocarcinoma (cHCC) has a high incidence of early recurrence. The objective of this study is to construct a model predicting very early recurrence (VER) (i.e., recurrence within 6 months after surgery) of cHCC.

methodsOne hundred thirty-one consecutive patients from Eastern Hepatobiliary Surgery Hospital served as a development cohort to construct a nomogram predicting VER by using multi-variable logistic regression analysis. The model was internally and externally validated in a validation cohort of 90 patients from Mengchao Hepatobiliary Hospital using the C concordance statistic, calibration analysis, and decision curve analysis (DCA).

resultsThe VER nomogram contains microvascular invasion (MiVI), macrovascular invasion (MaVI), and CA19-9 > 25 mAU/mL. The model shows good discrimination with C-indexes of 0.77 (95% CI: 0.69-0.85) and 0.76 (95% CI: 0.66-0.86) in the development cohort and validation cohort respectively. Decision curve analysis demonstrated that the model is clinically useful and the calibration of our model was favorable. Our model stratified patients into two different risk groups, which exhibited significantly different VER.

conclusionsOur model demonstrated favorable performance in predicting VER in cHCC patients.

Indexed as

Bile Duct NeoplasmsCarcinoma, HepatocellularCholangiocarcinomaLiver NeoplasmsBile Ducts, IntrahepaticHepatectomyHumansNomogramsRetrospective StudiesCombined hepatocellular-cholangiocarcinoma (cHCC)NomogramPrognosisVery early recurrence

Identifiers

PMID35227269
PMCPMC8883704
OpenAlexW4220777673

What OpenQuestion holds

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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.