Evidence map›Paper›PMID 37337754›Full record

Trial reportCancer medicine2023

Nomograms for postsurgical extrahepatic recurrence prediction of hepatocellular carcinoma based on presurgical circulating tumor cell status and clinicopathological factors.

Hao-Wen Wei, Shui-Ling Qin, Jing-Xuan Xu, Yi-Yue Huang, Yuan-Yuan Chen, Liang Ma, Lu-Nan Qi

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 8 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.

Hao-Wen WeiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.ORCID 0000-0003-1190-9159
Shui-Ling QinDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Jing-Xuan XuDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Yi-Yue HuangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Yuan-Yuan ChenDepartment of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Liang MaDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Lu-Nan QiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.ORCID 0000-0003-2538-9748
Ministry of Education of the People's Republic of China · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsExtrahepatic recurrence (EHR) is one of the major reasons for the poor prognosis of hepatocellular carcinoma (HCC). The present study aimed to develop and assess the performance of predictive models by using a combination of presurgical circulating tumor cell (CTCs) data and clinicopathological features to screen patients at high risk of EHR to achieve precise decision-making. PATIENTS AND

methodsA total of 227 patients with recurrent HCC and preoperative CTC data from January 2014 to August 2019 were enrolled. All patients were randomly assigned to one of two cohorts: development or validation. Two preoperative and postoperative nomogram models for EHR prediction were developed and multi-dimensionally validated.

resultsPatients with EHR had generally lower recurrence-free survival (p < 0.001), and overall survival (p < 0.001), and significantly higher CTC counts (epithelial CTCs, epithelial/mesenchymal hybrid CTCs, and mesenchymal CTCs count, all p < 0.05) than those without EHR. Univariate and multivariate analyses revealed that EHR was associated with four risk factors in the development cohort: total CTC count (p = 0.014), tumor size (p = 0.028), node number (p = 0.045), and microvascular invasion (p = 0.035). These factors were incorporated into two nomogram models (preoperative and postoperative), which reliably predicted EHR through multidimensional verification (e.g., calibration plot, receiver operating characteristic analysis, decision curve analysis, and clinical impact curve analysis) in the development and validation cohorts, respectively. With threshold of scores of 100.3 and 176.8 before and after surgery respectively, both nomograms were able to stratify patients into two distinct prognostic subgroups (all p < 0.05).

conclusionThe present study proposed two nomogram models integrating presurgical CTC counts and clinicopathological risks and showed relatively good predictive performance of EHR, which may be beneficial to the clinical practice of HCC recurrence. Further multicenter studies are needed to assess its general applicability.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNeoplastic Cells, CirculatingHepatectomyHumansNeoplasm Recurrence, LocalNomogramsPrognosisRetrospective Studiescirculating tumor cells (CTC)extrahepatic recurrence (EHR)hepatic resectionhepatocellular carcinoma (HCC)prediction model

Identifiers

PMID37337754
PMCPMC10417085
OpenAlexW4381308177

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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.