Evidence map›Paper›PMID 38462645›Full record

ArticleScientific reports2024

Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology.

Kaan Ozbozduman, Irem Loc, Selahattin Durmaz, Duygu Atasoy, Mert Kilic, Hakan Yildirim, Tarik Esen, Metin Vural, M Burcin Unlu

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–field-weighted citation impact
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.

  1. Review
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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.

Kaan OzbozdumanBogazici University Physics Department, Istanbul, Turkey. kaan.ozbozduman@boun.edu.tr.
Irem LocBogazici University Physics Department, Istanbul, Turkey.
Selahattin DurmazDepartment of Radiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Duygu AtasoyDepartment of Radiology, University of Koc School of Medicine, Istanbul, Turkey.
Mert KilicDepartment of Urology, VKF American Hospital, Istanbul, Turkey.
Hakan YildirimDepartment of Radiology, VKF American Hospital, Istanbul, Turkey.
Tarik EsenDepartment of Urology, VKF American Hospital, Istanbul, Turkey.
Metin VuralDepartment of Radiology, VKF American Hospital, Istanbul, Turkey.
M Burcin UnluFaculty of Engineering, Ozyegin University, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to enhance the accuracy of Gleason grade group (GG) upgrade prediction in prostate cancer (PCa) patients who underwent MRI-guided in-bore biopsy (MRGB) and radical prostatectomy (RP) through a combined analysis of prebiopsy and MRGB clinical data. A retrospective analysis of 95 patients with prostate cancer diagnosed by MRGB was conducted where all patients had undergone RP. Among the patients, 64.2% had consistent GG results between in-bore biopsies and RP, whereas 28.4% had upgraded and 7.4% had downgraded results. GG1 biopsy results, lower biopsy core count, and fewer positive cores were correlated with upgrades in the entire patient group. In patients with

Indexed as

ProstateProstatic NeoplasmsBiopsyHumansImage-Guided BiopsyMaleNeoplasm GradingProstatectomyRetrospective Studies

Identifiers

PMID38462645
PMCPMC10925603

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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.