Related Experiment Video
Updated: Feb 15, 2026

Refined Murine Model of Idiopathic Pulmonary Fibrosis
Published on: June 17, 2025
Unusual myelodysplastic syndrome with the initial presentation mimicking idiopathic thrombocytopenic purpura
Junya Kuroda1, Shinya Kimura, Yutaka Kobayashi
1First Department of Internal Medicine, Kyoto Prefectural University of Medicine, Japan.
Abstract:
Idiopathic thrombocytopenic purpura (ITP) and primary myelodysplastic syndrome (MDS) are hematological disorders that are frequently associated with thrombocytopenia, and both are heterogeneous disorders of uncertain etiology. Their diagnosis requires the exclusion of other hematological or immunological disorders whose diagnosis is usually not difficult. However, in some patients presenting with thrombocytopenia, the differential diagnosis is complex. We performed a retrospective study of 47 consecutive patients treated between 1990 and 2001; in 25 patients the initial diagnosis was ITP, in 22 it was MDS; we compared their backgrounds, laboratory data and clinical outcomes. Among the 25 ITP patients, there were 5 confusing cases. Following treatment, they presented with inexplicable refractory anemia and/or neutropenia. Cytopenia, the polyploidization pattern of megakaryocytes, and chromosomal aberrations were of diagnostic relevance in these patients' defective hematopoiesis. Their cytopenia progressed relatively slowly and none progressed to leukemic transformation. We suggest that these 5 patients should be classified into an unusual subtype of MDS with clinical characteristics resembling ITP.
Related Concept Videos
Self-Presentation
Strategies of Self-Presentation I: Strategic Self-Presentation
Processes of Self-Presentation
Unusual Results
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
Self-Presentation: Self-Monitoring and Self-Handicapping
z Scores and Unusual Values
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...

