Evidence map›Paper›PMID 37979056›Full record

ArticleJournal of cancer research and clinical oncology2023

Comparing histology between prostate cognitive fusion targeted biopsy and radical prostatectomy: exploring risk factors of Gleason score upgrading in Chinese patients.

Tianyun Zheng, Huaibin Sun, Yueqing Tang, Kaipeng Bi, Yuan Zeng, Junyan Wang, Lei Yan

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tianyun Zheng *Department of Urology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Huaibin Sun *Department of Organ Transplantation, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Yueqing TangDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Kaipeng BiDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Yuan ZengDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Junyan WangDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
Lei YanDepartment of Urology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China. yanlei5309@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore and identify the relevant clinical and pathological predictors leading to biopsy Gleason score upgrading (GSU) in cognitive fusion targeted biopsy (COG-TB) in Chinese patients.

methodsClinical and pathological information of 496 patients who underwent COG-TB and radical prostatectomy (RP) in our hospital from January 2020 to September 2023 were retrospectively compiled and analyzed. In this study, we screened valuable predictors through univariable and multivariable logistic regression analyses and then constructed predictive models. We draw nomograms to visualize the predictive models. In addition, the discriminatory power of the model was assessed using receiver operating characteristic (ROC) curves. Finally, calibration curves and decision curve analysis (DCA) were used to evaluate the predictive power of the model and the net benefits it could deliver.

resultsOut of the 496 patients eligible for the study, 279 had a consistent Gleason score (GS) on biopsy and postoperative GS, 191 experienced GSU, and 26 experienced downgrading. Significant associations for GSU were identified for five risk factors through multivariable logistic regression analyses, which included age, prostate volume, BMI, tumor percentage in biopsy tissue, and tumor location. Our model had excellent discriminatory power through ROC analysis. Calibration curves and DCA showed that our model was well calibrated and provided certain benefits for patient treatment decisions.

conclusionAge, prostate volume, BMI, tumor percentage in biopsy tissue, and tumor location are risk indicators for predicting GSU in COG-TB. Our prediction model is more suitable for Chinese patients and can assist in accurately evaluating biopsy GS and developing effective treatment plans.

Indexed as

ProstateProstatic NeoplasmsBiopsyChinaCognitionHumansImage-Guided BiopsyMaleNeoplasm GradingProstatectomyProstate-Specific AntigenRetrospective StudiesRisk FactorsProstate-Specific AntigenCognitive fusion targeted biopsyGleason scoreGleason score upgradingProstate cancer

Identifiers

PMID37979056
PMCPMC11796615

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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.