Evidence map›Paper›PMID 40762236›Full record

ArticleHistopathology2025

Classification of prostatic adenocarcinoma as favourable/unfavourable histology has high interobserver agreement in prostate needle core biopsies.

Chien-Kuang C Ding, Huijun Xiao, Jane K Nguyen, Christopher G Przybycin, Reza Alaghehbandan, Jonathan L Myles, Nancy Y Greenland, Jeffry P Simko, Deepika Sirohi, Bradley A Stohr and 1 more

Abstract read
In one paragraph

Article in Histopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Chien-Kuang C DingDepartment of Pathology, Anatomic Pathology, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0001-9047-0222
Huijun XiaoLerner Research Institute, Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-7536-7526
Jane K NguyenDiagnostics Institute, Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio, USA.
Christopher G PrzybycinDiagnostics Institute, Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-9426-7272
Reza AlaghehbandanDiagnostics Institute, Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-6708-5032
Jonathan L MylesDiagnostics Institute, Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio, USA.
Nancy Y GreenlandDepartment of Pathology, Anatomic Pathology, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-1783-1711
Jeffry P SimkoDepartment of Pathology, Anatomic Pathology, University of California, San Francisco, San Francisco, California, USA.
Deepika SirohiDepartment of Pathology, Anatomic Pathology, University of California, San Francisco, San Francisco, California, USA.
Bradley A StohrDepartment of Pathology, Anatomic Pathology, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-5836-2624
Jesse K McKenneyDiagnostics Institute, Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0003-0851-1465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsA dichotomous classifier for prostatic adenocarcinoma, favourable and unfavourable histology, was recently proposed to optimize metastasis prediction. We evaluate interobserver agreement for its classification. METHODS AND

resultsFifty biopsies with prostatic adenocarcinoma were selected. One slide per biopsy was scanned using the Aperio AT2 scanner (20x) and viewed in Leica Web Viewer. Ten pathologists reviewed each slide after completing a training module. Biopsies were scored for Grade Group (1-5) and presence of unfavourable histology. Forty-one of 50 biopsies (82%) had unanimous consensus [13 (32%) unfavourable and 28 (68%) favourable], 47 (94%) for at least 9 of 10 reviewers, and 48 (96%) for at least 8 of 10 reviewers. Percent agreement for favourable/unfavourable classification was 94%, kappa = 0.88 (95% CI: 0.8, 0.96), and Gwet's AC1 coefficient = 0.90 (95% CI: 0.82, 0.97) [both P-value < 0.001]. Inter-rater agreement for Grade Group designation was evaluated in biopsies with 100% consensus. In the favourable consensus group (n = 28), kappa for Grade Group was 0.80 (95% CI: 0.62, 0.98) and Kendall's W was 0.83 (95% CI: 0.81, 0.89), with both P-value < 0.001. For the unfavourable consensus group (n = 13), kappa for Grade Group was 0.56 (95% CI: 0.36, 0.75) and Kendall's W was 0.78 (95% CI: 0.76, 0.85), with both P-value < 0.001.

conclusionsThe classification of prostatic adenocarcinoma as favourable/unfavourable histology has high interobserver agreement, even when learnt through a simple tutorial. GG designation was more variable. This provides evidence that the favourable/unfavourable classification could be utilized in routine practice given its ease of use.

Indexed as

AdenocarcinomaProstatic NeoplasmsBiopsy, Large-Core NeedleHumansMaleNeoplasm GradingObserver VariationProstateadenocarcinomaGleason gradegrade groupprostateunfavourable histology

Identifiers

PMID40762236
PMCPMC12522031

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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.