Mean Platelet Volume and Its Relation to Risk Stratification of Myelodysplastic Syndromes
NCT ID: NCT05204953
Last Updated: 2022-01-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
71 participants
OBSERVATIONAL
2013-10-31
2015-04-30
Brief Summary
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Detailed Description
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MDS remains among the most challenging of the myeloid neoplasms to diagnose and classify, particularly in cases in which the blast percentage is not increased in the peripheral blood or bone marrow. Diagnostic problems can arise when the clinical and laboratory findings suggest MDS, but the morphologic findings are inconclusive; when there is secondary dysplasia caused by nutritional deficiencies, medications, toxins, growth factor therapy, inflammation or infection; or when marrow hypocellularity or myelofibrosis obscures the underlying disease process .
The prognosis of MDS is determined by several factors. Revised International Prognostic Scoring System (IPSS-R) for MDS divides patients into very low, low, intermediate, high and very high risk groups. Five factors (the percentage of bone marrow myeloblasts, the diagnostic cytogenetics, the hemoglobin level, the platelet count and the absolute neutrophilic count) are used to generate a prognostic score .
Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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1
patients diagnosed to have myelodysplastic syndrome
No interventions assigned to this group
2
healthy control subjects
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Assiut University
OTHER
Responsible Party
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Asmaa Nady Hussein
Consultant of Clinical Hematology
Principal Investigators
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youssreya A Ahmad, MD
Role: STUDY_DIRECTOR
Assiut University
Ahmad F Thabet, MD
Role: STUDY_DIRECTOR
Assiut University
References
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Tefferi A, Lim KH, Levine R. Mutation in TET2 in myeloid cancers. N Engl J Med. 2009 Sep 10;361(11):1117; author reply 1117-8. doi: 10.1056/NEJMc091348. No abstract available.
Greenberg PL, Attar E, Bennett JM, Bloomfield CD, De Castro CM, Deeg HJ, Foran JM, Gaensler K, Garcia-Manero G, Gore SD, Head D, Komrokji R, Maness LJ, Millenson M, Nimer SD, O'Donnell MR, Schroeder MA, Shami PJ, Stone RM, Thompson JE, Westervelt P; National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology: myelodysplastic syndromes. J Natl Compr Canc Netw. 2011 Jan;9(1):30-56. doi: 10.6004/jnccn.2011.0005.
Greenberg PL, Tuechler H, Schanz J, Sanz G, Garcia-Manero G, Sole F, Bennett JM, Bowen D, Fenaux P, Dreyfus F, Kantarjian H, Kuendgen A, Levis A, Malcovati L, Cazzola M, Cermak J, Fonatsch C, Le Beau MM, Slovak ML, Krieger O, Luebbert M, Maciejewski J, Magalhaes SM, Miyazaki Y, Pfeilstocker M, Sekeres M, Sperr WR, Stauder R, Tauro S, Valent P, Vallespi T, van de Loosdrecht AA, Germing U, Haase D. Revised international prognostic scoring system for myelodysplastic syndromes. Blood. 2012 Sep 20;120(12):2454-65. doi: 10.1182/blood-2012-03-420489. Epub 2012 Jun 27.
Foran JM, Shammo JM. Clinical presentation, diagnosis, and prognosis of myelodysplastic syndromes. Am J Med. 2012 Jul;125(7 Suppl):S6-13. doi: 10.1016/j.amjmed.2012.04.015.
Johnston TC, Thompson RB, Baldwin TO. Nucleotide sequence of the luxB gene of Vibrio harveyi and the complete amino acid sequence of the beta subunit of bacterial luciferase. J Biol Chem. 1986 Apr 15;261(11):4805-11.
Mittelman M, Oster HS, Hoffman M, Neumann D. The lower risk MDS patient at risk of rapid progression. Leuk Res. 2010 Dec;34(12):1551-5. doi: 10.1016/j.leukres.2010.05.023. Epub 2010 Jun 22.
Other Identifiers
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PVARMDS
Identifier Type: -
Identifier Source: org_study_id
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