Bibliographic record
Abstract
We report a case of thrombocytosis possibly associated with isotretinoin . The patient was a 19-year-old female who had severe acne vulgaris for 5 years. Systemic oral isotretinoin treatment was used daily at a dose of 0.5 mg/kg. All of the laboratory parameters were within normal limits, and the platelet count was 282,000 /u L at the beginning of the treatment (reference range: 150,000 - 400,000 /u L). In the following months, thrombocytosis (630,000 / u L) was found, and the treatment was ended. The platelet count was in the normal range (343,000 / u L) in the next monthly visit. The patient had no other illnesses or medications. The exact mechanism by which isotretinoin caused thrombocytosis in this patient is not clearly understood. To our knowledge, this case is the second case of isotretinoin -associated thrombocytosis. Clinicians who are prescribing isotretinoin should be aware of thrombocytosis, and a complete blood cell count with platelets should be part of the monthly monitoring routine in all patients receiving isotretinoin therapy. J Hematol. 2014;3(2):61-62 doi: http://dx.doi.org/ 10.14740 / jh140e
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".