Grey Platelet Syndrome and Pregnancy: A Case Report and Literature Review
Bibliographic record
Abstract
Grey platelet syndrome is an uncommon hereditary platelet disorder, and is characterized by thrombocytopenia and platelet dysfunction with a specific absence of alpha-granules. Electronic microscopy is a quick test that can confirm the diagnosis. We present perinatal results of a patient with diagnosed grey platelet syndrome. We reviewed the case of a patient with grey platelet syndrome at Instituto Nacional de Perinatologia. She is 26 years old, with 21 weeks’ gestation. It is noted in initial laboratories a platelet amount of 64,000/mm 3 , and grey platelet syndrome is suspected, so peripheral blood smear is carried out which showed pale platelets, and electronic microscopy was performed to confirm the disorder, which showed the absence of platelet alpha-granules. A female newborn was delivered at 38.4 week of gestation by abdominal cesarean section, weighing 2,588 g, with platelet count at birth of 119,000/mm 3 . There is no general consensus of treatment in patients with grey platelet syndrome, and management must be multi-disciplinary between obstetrics, hematology and anesthesiology services. J Clin Gynecol Obstet. 2019;8(2):54-56 doi: https://doi.org/10.14740/jcgo555
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".