Evidence map›Paper›PMID 33739293›Full record

ArticleJMIR formative research2021

e-Learning for Instruction and to Improve Reproducibility of Scoring Tumor-Stroma Ratio in Colon Carcinoma: Performance and Reproducibility Assessment in the UNITED Study.

Marloes A Smit, Gabi W van Pelt, Elisabeth Mc Dequeker, Raed Al Dieri, Rob Aem Tollenaar, J Han Jm van Krieken, Wilma E Mesker, UNITED Group

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Review
  7. Article
  8. Development of Tier 2 LC-MRM-MS protein quantification methods for liquid biopsies.Journal of mass spectrometry and advances in the clinical lab · 2023
    Article
  9. A high tumour-stroma ratio (TSR) in colon tumours and its metastatic lymph nodes predicts poor cancer-free survival and chemo resistance.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  10. 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

8 authors at 4 institutions in 2 countries.

Marloes A SmitDepartment of Surgery, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0002-3961-5040
Gabi W van PeltDepartment of Surgery, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0003-1449-7348
Elisabeth Mc DequekerDepartment of Public Health and Primary Care, Biomedical Quality Assurance Research Unit, University of Leuven, Leuven, Belgium.ORCID 0000-0001-5383-3178
Raed Al DieriEuropean Society of Pathology, Brussels, Belgium.ORCID 0000-0002-2044-7489
Rob Aem TollenaarDepartment of Surgery, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0002-6831-6082
J Han Jm van KriekenDepartment of Pathology, Radboud University Medical Center, Nijmegen, Netherlands.ORCID 0000-0002-8105-0450
Wilma E MeskerDepartment of Surgery, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0001-5533-4778
UNITED Group *Department of Surgery, Leiden University Medical Center, Leiden, Netherlands.
Leiden University Medical Center · NLEuropean Society of Anaesthesiology · BEKU Leuven · BERadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe amount of stroma in the primary tumor is an important prognostic parameter. The tumor-stroma ratio (TSR) was previously validated by international research groups as a robust parameter with good interobserver agreement.

objectiveThe Uniform Noting for International Application of the Tumor-Stroma Ratio as an Easy Diagnostic Tool (UNITED) study was developed to bring the TSR to clinical implementation. As part of the study, an e-Learning module was constructed to confirm the reproducibility of scoring the TSR after proper instruction.

methodsThe e-Learning module consists of an autoinstruction for TSR determination (instruction video or written protocol) and three sets of 40 cases (training, test, and repetition sets). Scoring the TSR is performed on hematoxylin and eosin-stained sections and takes only 1-2 minutes. Cases are considered stroma-low if the amount of stroma is ≤50%, whereas a stroma-high case is defined as >50% stroma. Inter- and intraobserver agreements were determined based on the Cohen κ score after each set to evaluate the reproducibility.

resultsPathologists and pathology residents (N=63) with special interest in colorectal cancer participated in the e-Learning. Forty-nine participants started the e-Learning and 31 (63%) finished the whole cycle (3 sets). A significant improvement was observed from the training set to the test set; the median κ score improved from 0.72 to 0.77 (P=.002).

conclusionse-Learning is an effective method to instruct pathologists and pathology residents for scoring the TSR. The reliability of scoring improved from the training to the test set and did not fall back with the repetition set, confirming the reproducibility of the TSR scoring method.

trial registrationThe Netherlands Trial Registry NTR7270; https://www.trialregister.nl/trial/7072. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/13464.

Indexed as

cancercarcinomacoloncolon cancerdiagnostice-Learningimplementationonline learningprognosisreproducibilityreproducibility studytumortumor-stroma ratiovalidation

Identifiers

PMID33739293
PMCPMC8122297
OpenAlexW3133489676

What OpenQuestion holds

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LicenceCC BY
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.