Evidence map›Paper›PMID 35715787›Full record

ArticleBMC surgery2022

Preoperative and postoperative nomograms for predicting early recurrence of hepatocellular carcinoma without macrovascular invasion after curative resection.

Yanfang Zhang, Xuezhong Lei, Liangliang Xu, Xiaoju Lv, Mingqing Xu, Hong Tang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 7 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

6 authors at 2 institutions in 1 country.

Yanfang ZhangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Xuezhong LeiCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Liangliang XuDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
Xiaoju LvCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Mingqing XuDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China. xmq_westchina@163.com.
Hong TangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China. htang6198@hotmail.com.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

Key Technology Research and Development Program of the Sichuan Province 2021YFSY0009National Natural Science Foundation of China 81802468Post-Doctor Research Project, West China Hospital, Sichuan University 2020HXBH076the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University Nos. ZYGD20009 and ZYJC18008the Sichuan Province Key Technologies R&D Program 19ZDYF
6 · The paper itself

Abstract

backgroundPostoperative early recurrence (ER) is a major obstacle to long-term survival after curative liver resection (LR) in patients with hepatocellular carcinoma (HCC). This study aimed to establish preoperative and postoperative nomograms to predict ER in HCC without macrovascular invasion.

methodsPatients who underwent curative LR for HCC between January 2012 and December 2016 were divided into training and internal prospective validation cohorts. Nomograms were constructed based on independent risk factors derived from the multivariate logistic regression analyses in the training cohort. The predictive performances of the nomograms were validated using the internal prospective validation cohort.

resultsIn total, 698 patients fulfilled the eligibility criteria. Among them, 265 of 482 patients (55.0%) in the training cohort and 120 of 216 (55.6%) patients in the validation cohort developed ER. The preoperative risk factors associated with ER were age, alpha-fetoprotein, tumor diameter, and tumor number, and the postoperative risk factors associated with ER were age, tumor diameter, tumor number, microvascular invasion, and differentiation. The pre- and postoperative nomograms based on these factors showed good accuracy, with concordance indices of 0.712 and 0.850 in the training cohort, respectively, and 0.754 and 0.857 in the validation cohort, respectively. The calibration curves showed optimal agreement between the predictions by the nomograms and actual observations. The area under the receiver operating characteristic curves of the pre- and postoperative nomograms were 0.721 and 0.848 in the training cohort, respectively, and 0.754 and 0.844 in the validation cohort, respectively.

conclusionsThe nomograms constructed in this study showed good performance in predicting ER for HCC without macrovascular invasion before and after surgery. These nomograms would be helpful for doctors when determining treatments and selecting patients for regular surveillance or administration of adjuvant therapies.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHepatectomyHumansNeoplasm Recurrence, LocalNomogramsPrognosisRetrospective StudiesCurative liver resectionEarly recurrenceHepatocellular carcinomaNomogram

Identifiers

PMID35715787
PMCPMC9205542
OpenAlexW4283019935

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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.