<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>40(10)</volume><submitter>Di Meglio A</submitter><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Fatigue is common and troublesome among breast cancer survivors; however, limited tools exist to predict its risk.&lt;h4>Patients and methods&lt;/h4>Participants with stage I-III breast cancer were prospectively included from CANTO (ClinicalTrials.gov identifier: NCT01993498), collecting longitudinal data at diagnosis (before the initiation of any cancer treatment) and 1 (T1), 2 (T2), and 4 (T3) years after diagnosis. The main outcome was severe global fatigue at T2 (score ≥ 40/100, European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-C30). Analyses at T3 were exploratory. Secondary outcomes included physical, emotional, and cognitive fatigue (EORTC Quality of Life Questionnaire-FA12). Multivariable logistic regression models retained a</pubmed_abstract><journal>Journal of clinical oncology : official journal of the American Society of Clinical Oncology</journal><pagination>1111-1123</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8966972</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Development and Validation of a Predictive Model of Severe Fatigue After Breast Cancer Diagnosis: Toward a Personalized Framework in Survivorship Care.</pubmed_title><pmcid>PMC8966972</pmcid><pubmed_authors>Presti D</pubmed_authors><pubmed_authors>Michiels S</pubmed_authors><pubmed_authors>Levy C</pubmed_authors><pubmed_authors>Soldato D</pubmed_authors><pubmed_authors>Havas J</pubmed_authors><pubmed_authors>Martin AL</pubmed_authors><pubmed_authors>Everhard S</pubmed_authors><pubmed_authors>Pistilli B</pubmed_authors><pubmed_authors>Ganz PA</pubmed_authors><pubmed_authors>Charles C</pubmed_authors><pubmed_authors>Rigal O</pubmed_authors><pubmed_authors>Vaz-Luis I</pubmed_authors><pubmed_authors>Tarpin C</pubmed_authors><pubmed_authors>Andre F</pubmed_authors><pubmed_authors>Menvielle G</pubmed_authors><pubmed_authors>Martin E</pubmed_authors><pubmed_authors>Dumas A</pubmed_authors><pubmed_authors>Vanlemmens L</pubmed_authors><pubmed_authors>Partridge AH</pubmed_authors><pubmed_authors>Di Meglio A</pubmed_authors><pubmed_authors>Lin NU</pubmed_authors><pubmed_authors>Coutant C</pubmed_authors><pubmed_authors>Delaloge S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Development and Validation of a Predictive Model of Severe Fatigue After Breast Cancer Diagnosis: Toward a Personalized Framework in Survivorship Care.</name><description>&lt;h4>Purpose&lt;/h4>Fatigue is common and troublesome among breast cancer survivors; however, limited tools exist to predict its risk.&lt;h4>Patients and methods&lt;/h4>Participants with stage I-III breast cancer were prospectively included from CANTO (ClinicalTrials.gov identifier: NCT01993498), collecting longitudinal data at diagnosis (before the initiation of any cancer treatment) and 1 (T1), 2 (T2), and 4 (T3) years after diagnosis. The main outcome was severe global fatigue at T2 (score ≥ 40/100, European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-C30). Analyses at T3 were exploratory. Secondary outcomes included physical, emotional, and cognitive fatigue (EORTC Quality of Life Questionnaire-FA12). Multivariable logistic regression models retained a</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Apr</publication><modification>2025-04-26T13:17:50.431Z</modification><creation>2024-11-20T21:02:26.902Z</creation></dates><accession>S-EPMC8966972</accession><cross_references><pubmed>35061509</pubmed><doi>10.1200/JCO.21.01252</doi></cross_references></HashMap>