{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T09:15:06Z","timestamp":1790154906977,"version":"4.0.1"},"reference-count":72,"publisher":"American Society of Hematology","issue":"16","content-domain":{"domain":["ashpublications.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,24]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>We present a noninvasive Web-based app to help exclude or diagnose myelodysplastic syndrome (MDS), a bone marrow (BM) disorder with cytopenias and leukemic risk, diagnosed by BM examination. A sample of 502 MDS patients from the European MDS (EUMDS) registry (n &amp;gt; 2600) was combined with 502 controls (all BM proven). Gradient-boosted models (GBMs) were used to predict\/exclude MDS using demographic, clinical, and laboratory variables. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were used to evaluate the models, and performance was validated using 100 times fivefold cross-validation. Model stability was assessed by repeating its fit using different randomly chosen groups of 502 EUMDS cases. AUC was 0.96 (95% confidence interval, 0.95-0.97). MDS is predicted\/excluded accurately in 86% of patients with unexplained anemia. A GBM score (range, 0-1) of less than 0.68 (GBM &amp;lt; 0.68) resulted in a negative predictive value of 0.94, that is, MDS was excluded. GBM \u2265 0.82 provided a positive predictive value of 0.88, that is, MDS. The diagnosis of the remaining patients (0.68 \u2264 GBM &amp;lt; 0.82) is indeterminate. The discriminating variables: age, sex, hemoglobin, white blood cells, platelets, mean corpuscular volume, neutrophils, monocytes, glucose, and creatinine. A Web-based app was developed; physicians could use it to exclude or predict MDS noninvasively in most patients without a BM examination. Future work will add peripheral blood cytogenetics\/genetics, EUMDS-based prospective validation, and prognostication.<\/jats:p>","DOI":"10.1182\/bloodadvances.2020004055","type":"journal-article","created":{"date-parts":[[2021,8,13]],"date-time":"2021-08-13T11:36:05Z","timestamp":1628854565000},"page":"3066-3075","update-policy":"https:\/\/doi.org\/10.1182\/blood.2019cm0000","source":"Crossref","is-referenced-by-count":27,"title":["A predictive algorithm using clinical and laboratory parameters may assist in ruling out and in diagnosing MDS"],"prefix":"10.1182","volume":"5","author":[{"given":"Howard S.","family":"Oster","sequence":"first","affiliation":[{"name":"Department of Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel;"},{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3026-2859","authenticated-orcid":false,"given":"Simon","family":"Crouch","sequence":"additional","affiliation":[{"name":"Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1111-966X","authenticated-orcid":false,"given":"Alexandra","family":"Smith","sequence":"additional","affiliation":[{"name":"Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0891-2501","authenticated-orcid":false,"given":"Ge","family":"Yu","sequence":"additional","affiliation":[{"name":"Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bander","family":"Abu Shrkihe","sequence":"additional","affiliation":[{"name":"Department of Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shoham","family":"Baruch","sequence":"additional","affiliation":[{"name":"Department of Cell and Developmental Biology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Albert","family":"Kolomansky","sequence":"additional","affiliation":[{"name":"Department of Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel;"},{"name":"Department of Cell and Developmental Biology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan","family":"Ben-Ezra","sequence":"additional","affiliation":[{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;"},{"name":"Department of Pathology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shachar","family":"Naor","sequence":"additional","affiliation":[{"name":"Department of Pathology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre","family":"Fenaux","sequence":"additional","affiliation":[{"name":"Service d\u2019H\u00e9matologie S\u00e9niors, H\u00f4pital Saint-Louis, Assistance Publique des H\u00f4pitaux de Paris (AP-HP) and Universit\u00e9 Paris 7, Paris, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3685-3473","authenticated-orcid":false,"given":"Argiris","family":"Symeonidis","sequence":"additional","affiliation":[{"name":"Division Hematology, Department of Internal Medicine, University of Patras Medical School, Patras, Greece;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8993-9561","authenticated-orcid":false,"given":"Reinhard","family":"Stauder","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine V (Hematology and Oncology), Innsbruck Medical University, Innsbruck, Austria;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaroslav","family":"Cermak","sequence":"additional","affiliation":[{"name":"Department of Clinical Hematology, Institute of Hematology and Blood Transfusion, Prague, Czech Republic;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2767-8191","authenticated-orcid":false,"given":"Guillermo","family":"Sanz","sequence":"additional","affiliation":[{"name":"Hematology Department, Hospital Universitario y Polit\u00e9cnico La Fe, Valencia, Spain;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva","family":"Hellstr\u00f6m-Lindberg","sequence":"additional","affiliation":[{"name":"Division of Hematology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1460-1611","authenticated-orcid":false,"given":"Luca","family":"Malcovati","sequence":"additional","affiliation":[{"name":"Department of Molecular Medicine and Hematology Oncology, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, University of Pavia, Pavia, Italy;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saskia","family":"Langemeijer","sequence":"additional","affiliation":[{"name":"Department of Hematology, Radboudumc, Nijmegen, The Netherlands;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ulrich","family":"Germing","sequence":"additional","affiliation":[{"name":"Department of Hematology, Oncology and Clinical Immunology, Universit\u00e4tsklinik D\u00fcsseldorf, D\u00fcsseldorf, Germany;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mette Skov","family":"Holm","sequence":"additional","affiliation":[{"name":"Department of Hematology, Aarhus University Hospital, Aarhus, Denmark;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krzysztof","family":"Madry","sequence":"additional","affiliation":[{"name":"Department of Haematology, Oncology and Internal Medicine, Warsaw Medical University, Warsaw, Poland;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agnes","family":"Guerci-Bresler","sequence":"additional","affiliation":[{"name":"Service d\u2019H\u00e9matologie, Centre Hospitalier Universitaire (CHU) Brabois Vandoeuvre, Nancy, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominic","family":"Culligan","sequence":"additional","affiliation":[{"name":"Department of Haematology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurence","family":"Sanhes","sequence":"additional","affiliation":[{"name":"Service d\u2019H\u00e9matologie, Centre Hospitalier de Perpignan, Perpignan, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juliet","family":"Mills","sequence":"additional","affiliation":[{"name":"Department of Haematology, Worcestershire Acute Hospitals National Health Service (NHS) Trust and University of Birmingham, Birmingham, United Kingdom;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ioannis","family":"Kotsianidis","sequence":"additional","affiliation":[{"name":"Department of Hematology, Democritus University of Thrace Medical School, University Hospital of Alexandroupolis, Alexandroupolis, Greece;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9547-908X","authenticated-orcid":false,"given":"Corine","family":"van Marrewijk","sequence":"additional","affiliation":[{"name":"Department of Hematology, Radboudumc, Nijmegen, The Netherlands;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Bowen","sequence":"additional","affiliation":[{"name":"St. James's Institute of Oncology, The Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Theo","family":"de Witte","sequence":"additional","affiliation":[{"name":"Department of Tumor Immunology, Nijmegen Center for Molecular Life Sciences, Radboudumc, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moshe","family":"Mittelman","sequence":"additional","affiliation":[{"name":"Department of Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel;"},{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"234","published-online":{"date-parts":[[2021,8,13]]},"reference":[{"issue":"10","key":"2021081315342155200_B1","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1056\/NEJMoa1805971","article-title":"Coronary CT angiography and 5-year risk of myocardial infarction","volume":"379","author":"Newby","year":"2018","journal-title":"N Engl J Med."},{"issue":"2","key":"2021081315342155200_B2","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1002\/rcs.1669","article-title":"A 3D machine vision method for non-invasive assessment of respiratory function","volume":"12","author":"Smith","year":"2016","journal-title":"Int J Med Robot."},{"issue":"14","key":"2021081315342155200_B3","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1056\/NEJMp1707537","article-title":"Making patients and doctors happier - the potential of patient-reported outcomes","volume":"377","author":"Rotenstein","year":"2017","journal-title":"N Engl J Med."},{"issue":"5","key":"2021081315342155200_B4","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1056\/NEJMms1817674","article-title":"Digital futures past - the long arc of big data in medicine","volume":"381","author":"Greene","year":"2019","journal-title":"N Engl J Med."},{"issue":"3","key":"2021081315342155200_B5","doi-asserted-by":"crossref","first-page":"632","DOI":"10.3324\/haematol.2018.212217","article-title":"Impact of red blood cell transfusion dose density on progression-free survival in patients with lower-risk myelodysplastic syndromes","volume":"105","author":"de Swart","year":"2020","journal-title":"Haematologica."},{"issue":"3","key":"2021081315342155200_B6","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1111\/bjh.13450","article-title":"Validation of the revised international prognostic scoring system (IPSS-R) in patients with lower-risk myelodysplastic syndromes: a report from the prospective European LeukaemiaNet MDS (EUMDS) registry","volume":"170","author":"de Swart","year":"2015","journal-title":"Br J Haematol."},{"key":"2021081315342155200_B7","first-page":"882","volume-title":"Hematology: Basic Principles and Practice.","author":"DeAngelo","year":"2013"},{"issue":"17","key":"2021081315342155200_B8","doi-asserted-by":"crossref","first-page":"2943","DOI":"10.1182\/blood-2013-03-492884","article-title":"Diagnosis and treatment of primary myelodysplastic syndromes in adults: recommendations from the European LeukemiaNet","volume":"122","author":"Malcovati","year":"2013","journal-title":"Blood."},{"issue":"1","key":"2021081315342155200_B9","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1182\/blood.V79.1.198.198","article-title":"Primary myelodysplastic syndromes: diagnostic and prognostic significance of immunohistochemical assessment of bone marrow biopsies","volume":"79","author":"Mangi","year":"1992","journal-title":"Blood."},{"issue":"1","key":"2021081315342155200_B10","first-page":"47","article-title":"The role of bone marrow study in diagnosis and prognosis of myelodysplastic syndrome","volume":"86","author":"Saad","year":"1994","journal-title":"Pathologica."},{"issue":"1","key":"2021081315342155200_B11","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1111\/j.1365-2141.1990.tb02612.x","article-title":"Bone marrow biopsy in myelodysplastic syndromes: morphological characteristics and contribution to the study of prognostic factors","volume":"75","author":"R\u00edos","year":"1990","journal-title":"Br J Haematol."},{"issue":"2","key":"2021081315342155200_B12","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1111\/j.1365-2141.1984.tb06079.x","article-title":"Bone marrow histology in myelodysplastic syndromes. II. Prognostic value of abnormal localization of immature precursors in MDS","volume":"58","author":"Tricot","year":"1984","journal-title":"Br J Haematol."},{"key":"2021081315342155200_B13","author":"Social Security Administration"},{"key":"2021081315342155200_B14","author":"Israel National Insurance Agency"},{"issue":"9","key":"2021081315342155200_B15","doi-asserted-by":"crossref","first-page":"2227","DOI":"10.1080\/10428194.2017.1416363","article-title":"Is bone marrow examination always necessary to establish the diagnosis of myelodysplastic syndromes? A proposed non-invasive diagnostic model","volume":"59","author":"Oster","year":"2018","journal-title":"Leuk Lymphoma."},{"key":"2021081315342155200_B16","first-page":"2975","article-title":"Can we diagnose MDS without bone marrow examination? a proposed EUMDS-based non-invasive diagnostic model [abstract]","volume":"130","author":"Oster","year":"2017","journal-title":"Blood."},{"key":"2021081315342155200_B17","doi-asserted-by":"crossref","first-page":"4357","DOI":"10.1182\/blood-2018-99-111838","article-title":"MDS diagnosis: many patients may not require bone marrow examination [abstract]","volume":"132","author":"Oster","year":"2018","journal-title":"Blood."},{"issue":"5","key":"2021081315342155200_B18","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: a gradient boosting machine","volume":"29","author":"Friedman","year":"2001","journal-title":"Ann Stat."},{"issue":"4","key":"2021081315342155200_B19","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","article-title":"Stochastic gradient boosting","volume":"38","author":"Friedman","year":"2002","journal-title":"Comput Stat Data Anal."},{"key":"2021081315342155200_B20","author":"Greenwell"},{"key":"2021081315342155200_B21","author":"Kuhn"},{"issue":"10","key":"2021081315342155200_B22","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.1016\/j.leukres.2009.02.010","article-title":"Estimating the prevalence of myelodysplastic syndromes in patients with unexplained cytopenias: a retrospective study of 322 bone marrows","volume":"33","author":"Buckstein","year":"2009","journal-title":"Leuk Res."},{"issue":"8","key":"2021081315342155200_B23","doi-asserted-by":"crossref","first-page":"2263","DOI":"10.1182\/blood-2004-05-1812","article-title":"Prevalence of anemia in persons 65 years and older in the United States: evidence for a high rate of unexplained anemia","volume":"104","author":"Guralnik","year":"2004","journal-title":"Blood."},{"key":"2021081315342155200_B24","author":"R: A Language and Environment for Statistical Computing","year":"2018"},{"key":"2021081315342155200_B25","first-page":"179","author":"Davis","year":"1959"},{"key":"2021081315342155200_B26","doi-asserted-by":"crossref","first-page":"j4413","DOI":"10.1136\/bmj.j4413","article-title":"Using patient data for patients\u2019 benefit [editorial]","volume":"358","author":"Banerjee","year":"2017","journal-title":"BMJ."},{"issue":"4","key":"2021081315342155200_B27","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1002\/jmrs.369","article-title":"Artificial intelligence in medical imaging practice: looking to the future","volume":"66","author":"Lewis","year":"2019","journal-title":"J Med Radiat Sci."},{"issue":"1","key":"2021081315342155200_B28","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s12194-019-00543-5","article-title":"A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features","volume":"13","author":"Sakai","year":"2019","journal-title":"Radiol Phys Technol."},{"issue":"13","key":"2021081315342155200_B29","doi-asserted-by":"crossref","first-page":"2731","DOI":"10.1007\/s00259-019-04593-0","article-title":"Artificial intelligence and radiomics in nuclear medicine: potentials and challenges","volume":"46","author":"Aktolun","year":"2019","journal-title":"Eur J Nucl Med Mol Imaging."},{"key":"2021081315342155200_B30","doi-asserted-by":"crossref","first-page":"185","DOI":"10.3389\/fmed.2019.00185","article-title":"Translational AI and deep learning in diagnostic pathology","volume":"6","author":"Serag","year":"2019","journal-title":"Front Med (Lausanne)."},{"issue":"3","key":"2021081315342155200_B31","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1161\/01.CIR.96.3.1012","article-title":"Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events","volume":"96","author":"Oster","year":"1997","journal-title":"Circulation."},{"issue":"15","key":"2021081315342155200_B32","doi-asserted-by":"crossref","first-page":"1496","DOI":"10.1161\/01.CIR.97.15.1496","article-title":"Electrocardiographic imaging: noninvasive characterization of intramural myocardial activation from inverse-reconstructed epicardial potentials and electrograms","volume":"97","author":"Oster","year":"1998","journal-title":"Circulation."},{"issue":"5","key":"2021081315342155200_B33","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1161\/CIRCRESAHA.112.279315","article-title":"Noninvasive electrocardiographic imaging of arrhythmogenic substrates in humans","volume":"112","author":"Rudy","year":"2013","journal-title":"Circ Res."},{"issue":"20","key":"2021081315342155200_B34","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.1056\/NEJMoa1901183","article-title":"Large-scale assessment of a smartwatch to identify atrial fibrillation","volume":"381","author":"Perez","year":"2019","journal-title":"N Engl J Med."},{"key":"2021081315342155200_B35","doi-asserted-by":"crossref","first-page":"1178222619885147","DOI":"10.1177\/1178222619885147","article-title":"A data-driven approach to predicting septic shock in the intensive care unit","volume":"11","author":"Yee","year":"2019","journal-title":"Biomed Inform Insights."},{"issue":"1","key":"2021081315342155200_B36","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.amjmed.2016.07.029","article-title":"Improving hypertension control and patient engagement using digital tools","volume":"130","author":"Milani","year":"2017","journal-title":"Am J Med."},{"issue":"3","key":"2021081315342155200_B37","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.amjmed.2016.06.056","article-title":"Digital medicine: \u201cO Brave New World\u201d","volume":"130","author":"Alpert","year":"2017","journal-title":"Am J Med."},{"issue":"6","key":"2021081315342155200_B38","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1200\/JCO.2015.63.0830","article-title":"Symptom monitoring with patient-reported outcomes during routine cancer treatment: a randomized controlled trial [published corrections appear in J Clin Oncol. 2016;34(18):2198 and J Clin Oncol. 2019;37(6):528]","volume":"34","author":"Basch","year":"2016","journal-title":"J Clin Oncol."},{"issue":"7","key":"2021081315342155200_B39","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1200\/JCO.1989.7.7.959","article-title":"Measuring quality of life in cancer patients","volume":"7","author":"Donovan","year":"1989","journal-title":"J Clin Oncol."},{"issue":"6","key":"2021081315342155200_B40","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1007\/s11136-019-02112-0","article-title":"Advancing the use of patient-reported outcomes in practice: understanding challenges, opportunities, and the potential of health information technology","volume":"28","author":"Hsiao","year":"2019","journal-title":"Qual Life Res."},{"key":"2021081315342155200_B41","doi-asserted-by":"crossref","first-page":"g7818","DOI":"10.1136\/bmj.g7818","article-title":"Patient reported outcome measures in practice","volume":"350","author":"Nelson","year":"2015","journal-title":"BMJ."},{"issue":"24","key":"2021081315342155200_B42","doi-asserted-by":"crossref","first-page":"2925","DOI":"10.1200\/JCO.2016.68.2518","article-title":"Updating the American Society of Clinical Oncology value framework: revisions and reflections in response to comments received","volume":"34","author":"Schnipper","year":"2016","journal-title":"J Clin Oncol."},{"issue":"5","key":"2021081315342155200_B43","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1111\/ejh.13389","article-title":"Patient-reported outcome measures in studies of myelodysplastic syndromes and acute myeloid leukemia: literature review and landscape analysis","volume":"104","author":"Stauder","year":"2020","journal-title":"Eur J Haematol."},{"issue":"6","key":"2021081315342155200_B44","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1038\/s41375-018-0089-x","article-title":"Health-related quality of life in lower-risk MDS patients compared with age- and sex-matched reference populations: a European LeukemiaNet study","volume":"32","author":"Stauder","year":"2018","journal-title":"Leukemia."},{"issue":"2","key":"2021081315342155200_B45","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1159\/000206963","article-title":"Erythrocyte cation content, globin chain synthesis and glucose metabolism in dysmyelopoietic syndromes","volume":"68","author":"Cetto","year":"1982","journal-title":"Acta Haematol."},{"issue":"9","key":"2021081315342155200_B46","doi-asserted-by":"crossref","first-page":"e393","DOI":"10.1016\/S2352-3026(18)30109-1","article-title":"Assessment of ASC specks as a putative biomarker of pyroptosis in myelodysplastic syndromes: an observational cohort study","volume":"5","author":"Basiorka","year":"2018","journal-title":"Lancet Haematol."},{"issue":"1","key":"2021081315342155200_B47","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1159\/000345427","article-title":"Metabolism-related cytokine and hormone levels in the serum of patients with myelodysplastic syndromes","volume":"130","author":"Bouronikou","year":"2013","journal-title":"Acta Haematol."},{"issue":"3","key":"2021081315342155200_B48","doi-asserted-by":"crossref","first-page":"231","DOI":"10.2174\/1573399811666150526151241","article-title":"The interactions between diabetes mellitus and myelodysplastic syndromes: current state of evidence and future directions","volume":"12","author":"Hamoudeh","year":"2016","journal-title":"Curr Diabetes Rev."},{"issue":"3","key":"2021081315342155200_B49","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.dsx.2017.12.015","article-title":"Hematological profile associated with type 2 diabetes mellitus","volume":"12","author":"Kachekouche","year":"2018","journal-title":"Diabetes Metab Syndr."},{"issue":"3","key":"2021081315342155200_B50","first-page":"240","article-title":"Erythrocyte deformability in diabetes mellitus","volume":"88","author":"Wu","year":"1989","journal-title":"Taiwan Yi Xue Hui Za Zhi."},{"issue":"8","key":"2021081315342155200_B51","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1016\/j.joen.2014.01.034","article-title":"Blood profile and histology in oral infections associated with diabetes","volume":"40","author":"Cintra","year":"2014","journal-title":"J Endod."},{"issue":"7","key":"2021081315342155200_B52","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1002\/ajh.24732","article-title":"Enumerating bone marrow blasts from nonerythroid cellularity improves outcome prediction in myelodysplastic syndromes and permits a better definition of the intermediate risk category of the Revised International Prognostic Scoring System (IPSS-R)","volume":"92","author":"Calvo","year":"2017","journal-title":"Am J Hematol."},{"issue":"4","key":"2021081315342155200_B53","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1111\/ejh.13134","article-title":"Can bone marrow cellularity help in predicting prognosis in myelodysplastic syndromes?","volume":"101","author":"Greenbaum","year":"2018","journal-title":"Eur J Haematol."},{"issue":"11","key":"2021081315342155200_B54","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1002\/ajh.25595","article-title":"Chronic lymphocytic leukemia: 2020 update on diagnosis, risk stratification and treatment","volume":"94","author":"Hallek","year":"2019","journal-title":"Am J Hematol."},{"issue":"4","key":"2021081315342155200_B55","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1182\/blood.2018834044","article-title":"How I treat polycythemia vera","volume":"134","author":"Spivak","year":"2019","journal-title":"Blood."},{"issue":"23","key":"2021081315342155200_B56","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1182\/blood.V126.23.907.907","article-title":"Somatic mutations in MDS patients are associated with clinical features and predict prognosis independent of the IPSS-R: analysis of combined datasets from the International Working Group for Prognosis in MDS-Molecular Committee","volume":"126","author":"Bejar","year":"2015","journal-title":"Blood."},{"issue":"22","key":"2021081315342155200_B57","doi-asserted-by":"crossref","first-page":"3616","DOI":"10.1182\/blood-2013-08-518886","article-title":"Clinical and biological implications of driver mutations in myelodysplastic syndromes","volume":"122","author":"Papaemmanuil","year":"2013","journal-title":"Blood."},{"issue":"1","key":"2021081315342155200_B58","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1159\/000490727","article-title":"Clinical implication of multi-parameter flow cytometry in myelodysplastic syndromes","volume":"86","author":"Duetz","year":"2019","journal-title":"Pathobiology."},{"issue":"10","key":"2021081315342155200_B59","first-page":"1592","article-title":"18F-FLT PET in hematologic disorders: a novel technique to analyze the bone marrow compartment","volume":"47","author":"Agool","year":"2006","journal-title":"J Nucl Med."},{"issue":"2","key":"2021081315342155200_B60","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1111\/j.1600-0609.1992.tb00039.x","article-title":"Evaluation of bone marrow cellularity by magnetic resonance imaging in patients with myelodysplastic syndrome","volume":"49","author":"Depaoli","year":"1992","journal-title":"Eur J Haematol."},{"issue":"20","key":"2021081315342155200_B61","doi-asserted-by":"crossref","first-page":"2249","DOI":"10.1182\/blood.2020005488","article-title":"Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes","volume":"136","author":"Nagata","year":"2020","journal-title":"Blood."},{"key":"2021081315342155200_B62","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1182\/blood-2020-136557","article-title":"The potential of molecular genetic analysis for diagnostic and prognostic decision making in clonal cytopenia of undetermined significance (CCUS) and MDS - a study on 576 patients [abstract]","volume":"136","author":"Baer","year":"2020","journal-title":"Blood."},{"key":"2021081315342155200_B63","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1182\/blood-2020-140317","article-title":"Targeted sequencing of 7 genes can help reduce pathologic misclassification of MDS [abstract]","volume":"136","author":"Goll","year":"2020","journal-title":"Blood."},{"key":"2021081315342155200_B64","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1182\/blood-2020-139412","article-title":"A personalized clinical-decision tool to improve the diagnostic accuracy of myelodysplastic syndromes [abstract]","volume":"136","author":"Radakovich","year":"2020","journal-title":"Blood."},{"issue":"26","key":"2021081315342155200_B65","doi-asserted-by":"crossref","first-page":"2477","DOI":"10.1056\/NEJMoa1409405","article-title":"Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence","volume":"371","author":"Genovese","year":"2014","journal-title":"N Engl J Med."},{"issue":"26","key":"2021081315342155200_B66","doi-asserted-by":"crossref","first-page":"2488","DOI":"10.1056\/NEJMoa1408617","article-title":"Age-related clonal hematopoiesis associated with adverse outcomes","volume":"371","author":"Jaiswal","year":"2014","journal-title":"N Engl J Med."},{"issue":"25","key":"2021081315342155200_B67","doi-asserted-by":"crossref","first-page":"3371","DOI":"10.1182\/blood-2017-01-763425","article-title":"Clinical significance of somatic mutation in unexplained blood cytopenia","volume":"129","author":"Malcovati","year":"2017","journal-title":"Blood."},{"issue":"3","key":"2021081315342155200_B68","doi-asserted-by":"crossref","first-page":"e40","DOI":"10.1097\/HS9.0000000000000040","article-title":"Anemia in the elderly","volume":"2","author":"Girelli","year":"2018","journal-title":"HemaSphere."},{"issue":"1","key":"2021081315342155200_B69","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1002\/ajh.23598","article-title":"Evaluation and management of anemia in the elderly","volume":"89","author":"Goodnough","year":"2014","journal-title":"Am J Hematol."},{"issue":"3","key":"2021081315342155200_B70","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1097\/MOH.0b013e3283522471","article-title":"Anemia in the elderly","volume":"19","author":"Pang","year":"2012","journal-title":"Curr Opin Hematol."},{"issue":"10","key":"2021081315342155200_B71","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1016\/j.leukres.2011.05.001","article-title":"Validation of a scoring system to establish the probability of myelodysplastic syndrome in patients with unexplained cytopenias or macrocytosis","volume":"35","author":"Rauw","year":"2011","journal-title":"Leuk Res."},{"issue":"7714","key":"2021081315342155200_B72","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1038\/s41586-018-0317-6","article-title":"Prediction of acute myeloid leukaemia risk in healthy individuals","volume":"559","author":"Abelson","year":"2018","journal-title":"Nature."}],"container-title":["Blood Advances"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/ashpublications.org\/bloodadvances\/article-pdf\/5\/16\/3066\/1816958\/advancesadv2020004055.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/ashpublications.org\/bloodadvances\/article-pdf\/5\/16\/3066\/1816958\/advancesadv2020004055.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,13]],"date-time":"2021-08-13T11:37:00Z","timestamp":1628854620000},"score":1,"resource":{"primary":{"URL":"https:\/\/ashpublications.org\/bloodadvances\/article\/5\/16\/3066\/476533\/A-predictive-algorithm-using-clinical-and"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,13]]},"references-count":72,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2021,8,24]]}},"URL":"https:\/\/doi.org\/10.1182\/bloodadvances.2020004055","relation":{"has-review":[{"id-type":"doi","id":"10.3410\/f.740689922.793589837","asserted-by":"object"}]},"ISSN":["2473-9529","2473-9537"],"issn-type":[{"value":"2473-9529","type":"print"},{"value":"2473-9537","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,13]]}}}