2025
Reducing clinical trial eligibility barriers for patients with MDS: an icMDS position statement
Borate U, Pugh K, Waller A, Welkie R, Huang Y, Bewersdorf J, Stahl M, DeZern A, Platzbecker U, Sekeres M, Wei A, Buckstein R, Roboz G, Savona M, Loghavi S, Hasserjian R, Fenaux P, Sallman D, Hourigan C, Della Porta M, Nimer S, Little R, Santini V, Efficace F, Taylor J, Garcia-Manero G, Odenike O, Kim T, Halene S, Komrokji R, Griffiths E, Greenberg P, Xu M, Xie Z, Bejar R, Sanz G, Patnaik M, Figueroa M, Carraway H, Abdel-Wahab O, Starczynowski D, Padron E, Boultwood J, Gore S, Daver N, Churpek J, Majeti R, Bennett J, List A, Brunner A, Zeidan A. Reducing clinical trial eligibility barriers for patients with MDS: an icMDS position statement. Blood 2025, 145: 1369-1381. PMID: 40146152, DOI: 10.1182/blood.2023023717.Peer-Reviewed Original ResearchConceptsBarriers to clinical trial enrollmentPhase 3 trialClinical trial eligibilityClinical trial enrollmentClinical trialsEligibility criteriaTrial eligibilitySafety signalsTrial enrollmentExclusion criteriaEarly-phase trialsReal-world populationPhase of trialPatientsDrug safety signalsPosition statement
2020
Prognostic Models in Myelodysplastic Syndromes
Bewersdorf J, Zeidan A. Prognostic Models in Myelodysplastic Syndromes. 2020, 109-127. DOI: 10.1007/978-3-030-51878-3_7.Peer-Reviewed Original ResearchInternational Prognostic Scoring SystemRisk stratification toolMyelodysplastic syndromeScoring systemStratification toolPrognostic scoring systemClinical trial enrollmentTrial enrollmentPrognostic relevanceDisease characteristicsPatient counselingBody of evidenceTreatment recommendationsPatient subpopulationsIndividual patientsTreatment selectionClinical scenariosPrognostic modelGenetic testingSomatic mutationsSyndromeScoresPatientsPrognosticationGood but not good enough: Clinical trial participation of patients with myelodysplastic syndromes
Bewersdorf JP, Zeidan AM. Good but not good enough: Clinical trial participation of patients with myelodysplastic syndromes. Cancer 2020, 126: 4664-4667. PMID: 32767670, DOI: 10.1002/cncr.33106.Peer-Reviewed Original Research
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