------------------- INFORMACIÓN GENERAL ------------------- 1. Título del dataset DataBase_Enhancing consistency in classification of pathology research through a Decision Tree diagram 2. Contacto Investigador/a de contacto Nombre: Elena Plans-Beriso Filiación: Centro Nacional de Epidemiología Correo electrónico: elena.plans@isciii.es ORCID: https://orcid.org/0000-0002-9388-8744 3. Descripción del proyecto This dataset accompanies a study assessing whether a decision tree and its glossary improve the classification of study designs based solely on abstract information. Two groups of evaluators, comprised mainly of pathologists and epidemiologist, each individually classified 100 references twice: first without the tool and then using it. Agreement between the two rounds was compared overall and by professional profile. A secondary objective was to gather users’ evaluations of the tool and its usability. The dataset includes information on evaluators’ professional and academic backgrounds, their classifications with and without the tool, and their user-based assessment of the tool. 4. Descripción del dataset The data dictionary for this dataset is available in the accompanying Word document. 5. Notas 6. Fecha de depósito de los ficheros 25/11/2025 7. Fecha de creación de los ficheros Dic 2024 8. Idioma English -------------------------- AUTORÍA -------------------------- 1. Autores Nombre: Ester (autor principal) Apellidos: García-Ovejero Filiación: Centro Nacional de Epidemiología Correo electrónico: ester.garcia@isciii.es ORCID: https://orcid.org/0000-0001-7075-8229 Nombre: Oana M (autor principal) Apellidos: Craciun Filiación: Centro Nacional de Epidemiología Correo electrónico: oana.craciun@isciii.es ORCID: https://orcid.org/0000-0002-0585-1950 Nombre: Roberto Apellidos: Pastor-Barriuso Filiación: Centro Nacional de Epidemiología Correo electrónico: rpastor@isciii.es ORCID: https://orcid.org/0000-0002-7325-3960 Nombre: Marina (autor principal) Apellidos: Montes-Mota Filiación: Centro Nacional de Epidemiología Correo electrónico: marina.montesm@isciii.es ORCID: https://orcid.org/0009-0008-1743-1014 Nombre: Paul Apellidos: Diez-Echave Filiación: Correo electrónico: ORCID: Nombre: Cristina Apellidos: Barahona-López Filiación: Centro Nacional de Epidemiología Correo electrónico: ORCID: https://orcid.org/0000-0003-0743-383X Nombre: Orlando Apellidos: Hernandez Celli Filiación: Correo electrónico: ORCID: Nombre: Estíbaliz Apellidos: Arruabarrena Filiación: Centro Nacional de Epidemiología Correo electrónico: ORCID: Nombre: Gary Apellidos: Sánchez Gordon Filiación: Centro Nacional de Epidemiología Correo electrónico: ORCID: Nombre: Beatriz Apellidos: Granero Melcón Filiación: National School of Public Health/Escuela Nacional de Sanidad. Instituto de Salud Carlos III, Madrid, Spain Correo electrónico: ORCID: Nombre: Miguel Apellidos: Gallego-Munuera Filiación: National School of Public Health/Escuela Nacional de Sanidad. Instituto de Salud Carlos III, Madrid, Spain Correo electrónico: ORCID: https://orcid.org/0009-0008-5651-2597 Nombre: Diego Apellidos: Bueno Sacristán Filiación: Department of Pathology, Biomedical Research Institute of Salamanca (IBSAL), University Hospital of Salamanca, Salamanca, Spain Correo electrónico: ORCID: Nombre: Mar Apellidos: Abad Hernández Filiación: Department of Pathology, Biomedical Research Institute of Salamanca (IBSAL), University Hospital of Salamanca, Salamanca, Spain Correo electrónico: ORCID: Nombre: Marta Apellidos: Rodríguez González Filiación: Department of Pathology, Biomedical Research Institute of Salamanca (IBSAL), University Hospital of Salamanca, Salamanca, Spain Correo electrónico: ORCID: Nombre: Raquel Apellidos: Tur González Filiación: Department of Pathology, Biomedical Research Institute of Salamanca (IBSAL), University Hospital of Salamanca, Salamanca, Spain Correo electrónico: ORCID: Nombre: Beatriz Apellidos: Romero Madrid Filiación: Department of Pathology, Biomedical Research Institute of Salamanca (IBSAL), University Hospital of Salamanca, Salamanca, Spain Correo electrónico: ORCID: Nombre: Belén Apellidos: Tristán Martín Filiación: Department of Pathology, Biomedical Research Institute of Salamanca (IBSAL), University Hospital of Salamanca, Salamanca, Spain Correo electrónico: ORCID: Nombre: Javier Apellidos: Gonzalez Palacios Filiación: Centro Nacional de Epidemiología Correo electrónico: ORCID: Nombre: Pablo Apellidos: Fernández Navarro Filiación: Centro Nacional de Epidemiología Correo electrónico: ORCID: https://orcid.org/0000-0001-9427-2581 Nombre:Stefan Apellidos:Holdenrieder Filiación: Institute of Laboratory Medicine, TUM University Hospital, German Heart Centre, Munich, Germany. Correo electrónico:s.holdenrieder@tum.de ORCID: Scopus id: 6603499425 Nombre:Magdalena Apellidos:Chechlińska Filiación:Department of Cancer Biology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland Correo electrónico:magdalena.chechlinska@nio.gov.pl ORCID:0000-0001-6139-1234 Nombre: Fiona Apellidos: Campbell Filiación: Population Health Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom. Correo electrónico:fiona.campbell1@ncl.ac.uk ORCID:https://orcid.org/0000-0002-4141-8863 Nombre: Dilani Apellidos: Lokuhetty Filiación: International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France Correo electrónico:samarawickremad@iarc.who.int ORCID:0000-0002-4275-3436 Nombre: Ian A. Apellidos: Cree Filiación: International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France Correo electrónico:creei@iarc.who.int ORCID:0000-0001-5007- 9456 Nombre: Iciar Apellidos: Indave Filiación: International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France Correo electrónico:indaveb@iarc.who.int ORCID:0000-0003-0259- 4781 Nombre: Beatriz Apellidos: Pérez-Gómez Filiación: Centro Nacional de Epidemiología Correo electrónico: bperez@isciii.es ORCID: https://orcid.org/0000-0002-4299-8214 Nombre: Marina Apellidos: Pollán-Santamaría (autor principal) Filiación: Centro Nacional de Epidemiología Correo electrónico: mpollan@isciii.es ORCID: https://orcid.org/0000-0002-4328-1565 Nombre: Elena Plans-Beriso (autor principal) Filiación: Centro Nacional de Epidemiología Correo electrónico: elena.plans@isciii.es ORCID: https://orcid.org/0000-0002-9388-8744 Nombre: WCT (WHO Classification of Tumours) EVI MAP Project Team -------------------------- METODOLOGÍA -------------------------- 1. Metodología (empleada para la recogida o generación de los datos) Data were collected through self-administered questionnaires. 2. Software Abstract classification based on the study design was collected through an ad hoc interface. Data on professional profile and user evaluation were collected through a Microsoft Forms (R) questionnaire. -------------------------- PALABRAS CLAVE Y MATERIAS -------------------------- 1. Palabras clave (Indicar si tuviera vocabulario controlado) Decision Trees; Reproducibility of Results; Epidemiologic Study Characteristics; Review Literature as Topic; Study Characteristics; Evidence-Based Medicine; Neoplasms; WCT EVI MAP Project MeSH Terms Decision Trees Reproducibility of Results Epidemiologic Study Characteristics Review Literature as Topic Study Characteristics Evidence-Based Medicine Neoplasms WCT EVI MAP Project Términos DeCS Árboles de Decisión Neoplasias Literatura de Revisión como Asunto Medicina Basada en la Evidencia Métodos Características del Estudio Características de Estudios Epidemiológicos -------------------------- INFORMACIÓN DE PATROCINADORES E IDENTIFICADORES DE PROYECTOS -------------------------- 1. Información sobre el proyecto (Nombre, organismo financiador, código identificador, etc.) This research was funded by the European Union [HORIZON-HLTH-2021-CARE-05 grant number 101057127]. -------------------------- PUBLICACIONES RELACIONADAS -------------------------- 1. Publicación relacionada (Referencia bibliográfica completa. DOI, URI o enlace versión publicada) 2. Dataset relacionado (Referencia bibliográfica y DOI) Craciun OM, García-Ovejero E, Pollán-Santamaría M, Plans-Beriso E, et al. (2024). Decision tree and glossary for classifying study designs - interactive version (WCT EVI MAP Project). [Dataset], Versión de diciembre de 2024. Repositorio Institucional de Salud REPISALUD. https://hdl.handle.net/20.500.12105/26132 https://dx.doi.org/10.4321/repisalud.26132 -------------------------- INFORMACIÓN GEOGRÁFICA -------------------------- 1. Cobertura geográfica Not applicable -------------------------- INFORMACIÓN TEMPORAL -------------------------- 1. Cobertura temporal Not applicable -------------------------- FICHEROS -------------------------- 1. Ficheros (Relación de todos los ficheros que se incluyen en el dataset, estructura breve descripción de su contenido, indicar formato, idioma, versión, etc.) Single file in Excel format, consisting of four sheets (data dictionary at the end of this document): Sheet 1: REVIEWERS PROFILE Sheet 2: BASAL: ANSWERS WITHOUT TOOL Sheet 3: POST: ANSWERS WITH TOOL Sheet 4:TOOL USERS' ASSESSMENT -------------------------- DERECHOS DE USO Y PRIVACIDAD -------------------------- 1. Licencias de uso CC BY-NC-SA 2. Privacidad (anonimización, etc.) The database has been anonymised and does not contain personal identifiers. -------------------------- OTROS -------------------------- 1. Diccionario datos Single file in Excel format, consisting of four sheets: **** Sheet 1: REVIEWERS PROFILE **** prof: Professional profile 1 == Resident in Preventive Medicine and Public Health 2 == Resident in Anatomical Pathology 3 == Epidemiologist 4 == Specialist Doctor in Anatomical Pathology 5 == Other profiles prof_time: Professional experience Less than one year 1 to 4 years 5 to 8 years ≥ 9 years epiedu: Previous training in Epidemiology 5 == No 4 == Yes, master’s degree in Epidemiology and/or Public Health 3 == University Expert Diploma or Certificate 2 == Yes, training curses (≥ 50 h) 1 == Yes, training curses (< 50 h) resexp: Research experience Yes No resexp_time: Time of research experience Less than 5 years 5 to 9 years ≥ 10 years eviexp: Experience in evidence synthesis Yes No eviexp_time: Time of experience in evidence synthesis Less than one year 1 to 4 years ≥ 5 years **** Sheet 2: BASAL: ANSWERS WITHOUT TOOL **** TI Title of record AU Authors of record REF_ID Internal id of record Alphanumeric codes* Reviewers identifiers [Note: Each identifier corresponds to the same person in both the baseline and subsequent measurements] * Under the reviewer identifier are the coded study designs by that reviewer: Title Only Excluded – Abstracts in conference proceedings Excluded – Opinion Piece Consensus, statements or clinical guidelines Excluded – Non-systematic Reviews Big Picture Review Systematic Review Umbrella Review Other Mechanistic Basic Science Studies Excluded – Other Animal Studies Animal Study (mechanistic) Ecological Study Case Report Population-Based descriptive study Case series/Longitudinal Case series Diagnostic Test Agreement/Reproducibility Study Laboratory Test Validation Study Diagnostic Test Accuracy Study Non-Randomized Controlled Trial Randomized Controlled Trial Observational Longitudinal Study RCT derived Cohort Study Small Cohort & Other Longitudinal Studies Self-matched Case-Control Study Cross-sectional Study Classic Case-Control Study **** Sheet 3: POST: ANSWERS WITH TOOL **** TI Title of record AU Authors of record REF_ID Internal id of record Alphanumeric codes* Reviewers identifiers [Note: Each identifier corresponds to the same person in both the baseline and subsequent measurements] * Under the reviewer identifier are the coded study designs by that reviewer: Title Only Excluded – Abstracts in conference proceedings Excluded – Opinion Piece Consensus, statements or clinical guidelines Excluded – Non-systematic Reviews Big Picture Review Systematic Review Umbrella Review Other Mechanistic Basic Science Studies Excluded – Other Animal Studies Animal Study (mechanistic) Ecological Study Case Report Population-Based descriptive study Case series/Longitudinal Case series Diagnostic Test Agreement/Reproducibility Study Laboratory Test Validation Study Diagnostic Test Accuracy Study Non-Randomized Controlled Trial Randomized Controlled Trial Observational Longitudinal Study RCT derived Cohort Study Small Cohort & Other Longitudinal Studies Self-matched Case-Control Study Cross-sectional Study Classic Case-Control Study **** Sheet 4:TOOL USERS' ASSESSMENT **** Id questionnaire number Starting time day & hour Finishing time day & hour e-mail Clarity - Clarity: Clarity of Glossary definitions: they help to understand the defined terms (Likert scale min. 1 totally confused to max. 5 totally clear). Coherence - Coherence: The questions of DT make sense, and the established order is logical (Likert scale min. 1 totally incoherent to max. 5 totally coherent). Sufficiency - Sufficiency of information for decision making: The information in the DT and the Glossary is sufficient to decide on the classification of studies (Likert scale min. 1 “Very insufficient, it is necessary to include more clarifications” to max. 5 “Excessive, there are clarifications that are not necessary”). Completeness - Completeness: The study designs included in the DT cover all possible options (Likert scale min. 1 totally insufficient to max. 5 completely exhaustive). Difficulty_20 - Degree of difficulty in getting familiar with the tool: In the first 20 references that you have classified in phase 2, what has been the degree of difficulty in getting familiar with the tool (Decision Tree and Glossary)? (Likert scale min. 1 “very easy” to max. 5 “very difficult”). Difficulty_overall - Degree of difficulty in applying the tool (Decision Tree and Glossary) (Likert scale min. 1 “very easy” to max. 5 “very difficult”). Usefulness - Usefulness of the interactive Decision Tree (Genially) for the use of the tool (Likert scale min. 1 “Nothing useful” to max. 5 “Totally useful “). Overall_assessment - Overall assessment: Usefulness of the Decision Tree and its glossary for the classification of study designs (from min 1. Nothing useful to max. 10 totally useful). Suggestions - Suggestions: Do you have any suggestions for improving the Decision Tree or the Glossary or would you like to make any comments? (open question). Profesional profile pathologists or epidemiologists