Evidence map›Paper›PMID 35400010›Full record

ArticleCancer diagnosis & prognosis

Visual Counting and Automated Image-analytic Assessment of Ki-67 and their Prognostic Value in Synovial Sarcoma.

Riikka E Laurila, Tom O Böhling, Carl P Blomqvist, Christina Karlsson, Erkki J Tukiainen, Jussi Repo, Mika M Sampo

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer diagnosis & prognosis. 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
0.3field-weighted citation impact, top 45% 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, 2 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

7 authors at 2 institutions in 1 country.

Riikka E LaurilaDepartment of Pathology, HUSLAB and University of Helsinki, Helsinki, Finland.
Tom O BöhlingUniversity of Helsinki, Helsinki, Finland.
Carl P BlomqvistComprehensive Cancer Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Christina KarlssonÖrebro University, School of Health sciences, Örebro, Sweden.
Erkki J TukiainenDepartment of Plastic Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Jussi RepoDepartment of Orthopedics and Traumatology, Tampere University Hospital and University of Tampere, Tampere, Finland.
Mika M SampoDepartment of Pathology, HUSLAB and University of Helsinki, Helsinki, Finland.
University of Helsinki · FITampere University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ki-67 is a widely used proliferation marker reflecting prognosis in various tumors. However, visual assessment and scoring of Ki-67 suffers from marked inter-observer and intra-observer variability. We aimed to assess the concordance of manual counting and automated image-analytic scoring methods for Ki-67 in synovial sarcoma. Patients and Methods: Tissue microarrays from 34 patients with synovial sarcoma were immunostained for Ki-67 and scored both visually and with 3DHistech QuantCenter. Results: The automated assessment of Ki-67 expression was in good agreement with the visually counted Ki-67 (r Conclusion: The automated Ki-67 assessment method appears to be comparable to the visual method in synovial sarcoma and had a significant association to overall survival.

Indexed as

automatedKi-67Ki-67 antigenpattern recognitionSarcomasurvival analysissynovialvisual counting method

Identifiers

PMID35400010
PMCPMC8962852
OpenAlexW4206286795

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.