ArticleCureus2025
Unraveling Hematological Anomalies in DiGeorge Syndrome: A Retrospective Study of Thrombocytopenia and Mean Platelet Volume.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiGeorge syndrome, arising from chromosome 22q11.2 deletion including the
objectiveThis study investigates the hematological profile of pediatric DiGeorge syndrome patients followed up in Al Qassimi Women's and Children's Hospital, Sharjah, focusing on platelet counts, mean platelet volume, and potential genetic links to GPIBB mutations on chromosome 22q11.2. The aim is to deepen understanding of thrombocytopenia in DiGeorge syndrome and its implications for clinical management.
methodsA retrospective analysis of medical records identified eight pediatric DiGeorge syndrome patients diagnosed through fluorescent in situ hybridization (FISH) and microarray scanning, excluding cases with incomplete records or unrelated comorbidities. Uniform assessment of platelet parameters was conducted across all subjects.
resultsDiGeorge syndrome patients had a mean age of 5.1 years, with four males and four females. The mean number of complete blood counts (CBCs) per patient was 14.25 (range: 6-42). The mean platelet count was 194,295/µL and the mean mean platelet volume (MPV) was 10.8 fL. Thrombocytopenia and large platelets showed notable variability. Four patients had large platelets on 100% of their CBCs, while the lowest was 57%. Two patients had thrombocytopenia in >80% of CBCs, while the rest showed lower rates. One patient presented with immune bicytopenia that responded to immunosuppressive therapy. DISCUSSION: The findings underscore distinct hematological characteristics in DiGeorge syndrome. These insights into platelet abnormalities shed light on potential mechanisms underlying thrombocytopenia in DiGeorge syndrome. Specifically, the observed higher MPV and occasional presence of giant platelets suggest altered platelet production or function, possibly due to haploinsufficiency of gene within the 22q11.2 region, including GPIBB. The study's findings align with previous reports linking DiGeorge syndrome to thrombocytopenia and Bernard-Soulier syndrome features.
conclusionThis study provides insights into hematological manifestations of DiGeorge syndrome, highlighting the role of GPIb-IX-V complex deficiencies. Further research is warranted to elucidate genetic interactions and optimize management strategies for thrombocytopenia in DiGeorge syndrome patients. Future investigations comparing proximal versus distal 22q11.2 deletions and their clinical implications could enhance our understanding.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.