Evidence map›Paper›PMID 38472559›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Clinical risk prediction model and external validation of positive surgical margin in laparoscopic radical prostatectomy based on MRI lesion location.

Xin Chen, Chaozhong Wang, Yongchang Chen, Chengbo Qian, Renpeng Huang, Jie Bao, Yuxin Lin, Jianquan Hou, Yuhua Huang, Xuedong Wei

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

10 authors at 2 institutions in 1 country.

Xin Chen *Department of Urology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006, People's Republic of China.
Chaozhong Wang *Department of Urology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006, People's Republic of China.
Yongchang Chen *Department of Urology, Changshu No. 2 People's Hospital, Suzhou, 215006, People's Republic of China.
Chengbo QianDepartment of Urology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006, People's Republic of China.
Renpeng HuangDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.
Jie BaoDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.
Yuxin LinDepartment of Urology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006, People's Republic of China.
Jianquan HouDepartment of Urology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006, People's Republic of China. xf192@163.com.
Yuhua HuangDepartment of Urology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006, People's Republic of China. sdfyyhyh@163.com.
Xuedong WeiDepartment of Urology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006, People's Republic of China. wxd0422@163.com.ORCID http://orcid.org/0000-0003-2000-2620
Soochow University · CNChangshu No.1 People's Hospital · CN

Funding

Jiangsu Provincial Key Research and Development Program No.BE2020654Jiangsu Provincial Key Research and Development Program No.BE2020655
6 · The paper itself

Abstract

objectiveTo clarify the composition of lesions in different magnetic resonance imaging (MRI) partitions of positive surgical margins (PSM) after laparoscopic radical prostatectomy, explore the influence of lesion location on PSM, and construct a clinical prediction model to predict the risk of PSM. MATERIALS AND

methodsThis retrospective cohort study included 309 patients who underwent laparoscopic radical prostatectomy from 2018 to 2021 in our center was performed. 129 patients who met the same criteria from January to September 2022 were external validation cohorts.

resultsThe incidence of PSM in transition zone (TZ) lesions was higher than that in peripheral zone (PZ) lesions. The incidence of PSM in the middle PZ was lower than that in other regions. Prostate specific antigen (PSA), clinical T-stage, the number of positive cores, international society of urological pathology (ISUP) grade (biopsy), MRI lesion location, extracapsular extension, seminal vesicle invasion (SVI), pseudo-capsule invasion (PCI), long diameter of lesions, lesion volume, lesion volume ratio, PSA density were related to PSM. MRI lesion location and PCI were independent risk factors for PSM. Least absolute shrinkage and selection operator (LASSO) regression was used to construct a clinical prediction model for PSM, including five variables: the number of positive cores, SVI, MRI lesion location, long diameter of lesions, and PSA.

conclusionThe positive rate of surgical margin in middle PZ was significantly lower than that in other regions, and MRI lesion location was an independent risk factor for PSM.

Indexed as

LaparoscopyMagnetic Resonance ImagingMargins of ExcisionProstatectomyProstatic NeoplasmsAgedHumansMaleMiddle AgedNeoplasm GradingNeoplasm StagingProstate-Specific AntigenRetrospective StudiesRisk AssessmentRisk FactorsProstate-Specific AntigenClinical risk prediction modelLaparoscopic radical prostatectomyMP-MRIPositive surgical marginsProstate cancer

Identifiers

PMID38472559
OpenAlexW4392760848

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.