Evidence map›Paper›PMID 40069192›Full record

ArticleScientific data2025

A clinical prostate biopsy dataset with undetected cancer.

Eduard Chelebian, Christophe Avenel, Helena Järemo, Pernilla Andersson, Carolina Wählby, Anders Bergh

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Overdiagnosis and Overtreatment in Prostate Cancer.Diseases (Basel, Switzerland) · 2025
    Review
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.

Eduard ChelebianDepartment of Information Technology and SciLifeLab, Uppsala University, 752 37, Uppsala, Sweden. eduard.chelebian@it.uu.se.ORCID http://orcid.org/0000-0001-6852-6605
Christophe AvenelDepartment of Information Technology and SciLifeLab, Uppsala University, 752 37, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-1835-921X
Helena JäremoDepartment of Medical Biosciences, Pathology, Umeå University, 901 85, Umeå, Sweden.
Pernilla AnderssonDepartment of Medical Biosciences, Pathology, Umeå University, 901 85, Umeå, Sweden.
Carolina WählbyDepartment of Information Technology and SciLifeLab, Uppsala University, 752 37, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-4139-7003
Anders BerghDepartment of Medical Biosciences, Pathology, Umeå University, 901 85, Umeå, Sweden.

Funding

Cancerfonden (Swedish Cancer Society) 21-1856
6 · The paper itself

Abstract

Prostate cancer is a heterogeneous disease showing variability both among individuals and within a patient. While most cases are indolent, aggressive tumors require early intervention. Accurately predicting tumor behavior is challenging, contributing to overdiagnosis but also undertreatment. Current imaging methods may miss the most malignant areas, leading to biopsies often capturing non-malignant prostate tissue even if cancer is present elsewhere in the organ. This non-malignant tissue, however, holds potential as a source for novel diagnostic and prognostic markers. Our clinical dataset comprises men with raised prostate-specific antigen but whose initial prostate needle biopsies only contained benign tissue. Half of the paired patients remained cancer-free for over eight years, while the others were diagnosed with prostate cancer within 30 months of follow-up. We share these initial benign biopsies to enable the exploration of morphological changes in non-malignant tissue and the potential for improved diagnostic accuracy in the early identification of patients with prostate cancer.

Indexed as

ProstateProstatic NeoplasmsBiopsyHumansMaleProstate-Specific AntigenProstate-Specific Antigen

Identifiers

PMID40069192
PMCPMC11897396

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.