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Development of a decision tree diagram for classifying study designs in tumour pathology research: a multidisciplinary approach

  • WCT EVI MAP Project Team
  • Hungarian National Center for Epidemiology
  • Doctoral School in Cognition, Behavior, and Neuroscience
  • Newcastle University
  • TUM University Hospital
  • Maria Sklodowska-Curie National Research Institute of Oncology
  • Greater Poland Cancer Registry, Greater Poland Cancer Centre, Poznan, Poland.
  • University of Oxford
  • Oxford University Hospitals NHS Foundation Trust
  • Department of Pathology, Luma Medical Centre, Singapore.
  • International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France.
  • Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.

Research output: Contribution to journalArticlepeer-review

Abstract

The World Health Organization (WHO) Classification of Tumours: A Living Evidence Gap Map by Tumour Type (WCT EVI MAP) project aims to develop Evidence Gap Maps of the available evidence, primarily to inform the WHO Classification of Tumours. The project, covering all tumour types, faces the challenge of reviewing a huge number of studies by reviewers from multiple backgrounds. The aim was to develop a decision tree (DT) diagram for classifying study designs reporting on tumour pathology studies, in order to support the decision-making process when assigning evidence levels across various disciplines. A modified consensus process, incorporating stakeholder workshops, was conducted in three phases: (1) development of the initial DT diagram draft (literature review and expert evaluation); (2) iterative reviews with project partners; and (3) testing the advanced DT diagram version with several sets of references to refine critical points. A total of 368 records were used for training throughout the entire process. Consensus was achieved when classifications could categorise studies consistently without causing discordance in new example sets. A DT diagram and its Glossary of Operational Definitions with 27 decision nodes and 26 categories were developed. The DT diagram is organised into six sections: WCT EVI MAP selection criteria, evidence synthesis, basic research related studies, descriptive studies, observational and experimental studies, and diagnostic test studies. The DT diagram is a valuable tool for the project's needs, successfully integrating diverse disciplinary perspectives for classifying evidence in tumour pathology research according to study design. It lays the foundation for future advancements in evidence mapping and classification within tumour pathology and related disciplines.

Original languageEnglish
Article numbere70056
JournalJournal of Pathology: Clinical Research
Volume12
Issue number1
Early online date29 Nov 2025
DOIs
Publication statusPublished - Jan 2026
Externally publishedYes

Keywords

  • Humans
  • Decision Trees
  • Neoplasms/classification
  • Research Design
  • Biomedical Research/classification
  • Consensus

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