Evidence map›Paper›PMID 38193866›Full record

ArticleUnited European gastroenterology journal2024

Lymph node metastases and recurrence in pT1 colorectal cancer: Prediction with the International Budding Consortium Score-A retrospective, multi-centric study.

Heather Dawson, John-Melle Bokhorst, Linda Studer, Michael Vieth, Ayse Selcen Oguz Erdogan, Sonay Kus Öztürk, Richard Kirsch, Scarlett Brockmoeller, Gieri Cathomas, Rolf Buslei and 6 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in United European gastroenterology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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

16 authors at 8 institutions in 6 countries.

Heather DawsonInstitute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.ORCID 0000-0001-7527-336X
John-Melle BokhorstDepartment of Pathology, Radboudumc, Nijmegen, the Netherlands.
Linda StuderInstitute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
Michael ViethInstitute of Pathology, Friedrich-Alexander-University Erlangen-Nuremberg, Klinikum Bayreuth, Bayreuth, Germany.
Ayse Selcen Oguz ErdoganDepartment of Pathology, Radboudumc, Nijmegen, the Netherlands.
Sonay Kus ÖztürkDepartment of Pathology, Radboudumc, Nijmegen, the Netherlands.
Richard KirschPathology and Laboratory Medicine, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
Scarlett BrockmoellerPathology and Data Analytics, Leeds Institute of Medical Research at St. James's School of Medicine, Leeds, UK.
Gieri CathomasInstitute of Pathology, Kantonsspital Baselland, Liestal, Switzerland.
Rolf BusleiInstitut und Praxis für Pathologie, Neuropathologie, Molekulare Diagnostik und Zytologie, Sozialstiftung Bamberg, Bamberg, Germany.
David FinkDepartment of Pathology and Immunology, Baylor College of Medicine, Houston, Texas, USA.
Marie RoumetClinical Trials Unit, University of Bern, Bern, Switzerland.
Inti ZlobecInstitute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
Jeroen van der LaakDepartment of Pathology, Radboudumc, Nijmegen, the Netherlands.
Iris D NagtegaalDepartment of Pathology, Radboudumc, Nijmegen, the Netherlands.
Alessandro LugliInstitute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
Radboud University Nijmegen · NLUniversity of Bern · CHBaylor College of Medicine · USBayreuth Medical Center · DEKantonsspital Baselland · CHMount Sinai Hospital · CASozialstiftung Bamberg · DESt James's University Hospital · GB

Funding

Dutch Cancer Society KWF KUN2017-10602Swiss Cancer Society KFS-4108-02-2017
6 · The paper itself

Abstract

backgroundThe International Collaboration on Cancer Reporting proposes histological tumour type, lymphovascular invasion, tumour grade, perineural invasion, extent, and dimensions of invasion as risk factors for lymph node metastases and tumour progression in completely endoscopically resected pT1 colorectal cancer (CRC).

objectiveThe aim of the study was to propose a predictive and reliable score to optimise the clinical management of endoscopically resected pT1 CRC patients.

methodsThis multi-centric, retrospective International Budding Consortium (IBC) study included an international pT1 CRC cohort of 565 patients. All cases were reviewed by eight expert gastrointestinal pathologists. All risk factors were reported according to international guidelines. Tumour budding and immune response (CD8+ T-cells) were assessed with automated models using artificial intelligence. We used the information on risk factors and least absolute shrinkage and selection operator logistic regression to develop a prediction model and generate a score to predict the occurrence of lymph node metastasis or cancer recurrence.

resultsThe IBC prediction score included the following parameters: lymphovascular invasion, tumour buds, infiltration depth and tumour grade. The score has an acceptable discrimination power (area under the curve of 0.68 [95% confidence intervals (CI) 0.61-0.75]; 0.64 [95% CI 0.57-0.71] after internal validation). At a cut-off of 6.8 points to discriminate high-and low-risk patients, the score had a sensitivity and specificity of 0.9 [95% CI 0.8-0.95] and 0.26 [95% 0.22, 0.3], respectively.

conclusionThe IBC score is based on well-established risk factors and is a promising tool with clinical utility to support the management of pT1 CRC patients.

Indexed as

Artificial IntelligenceColorectal NeoplasmsHumansLymphatic MetastasisNeoplasm Recurrence, LocalRetrospective Studiescolorectal cancerCRCearlygradehistologylymph node metastaseslymphovascular invasionpredictionpT1recurrence

Identifiers

PMID38193866
PMCPMC11017758
OpenAlexW4390729726

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.