Gemcitabine-related thrombocytosis: Does it increase the risk of thrombosis?
Bibliographic record
Abstract
6091 Background: Gemcitabine is an antimetabolite agent that has demonstrated activity in various solid and hematological malignancies. Although thrombocytopenia is a known side effect, gemcitabine-related thrombocytosis has been uncommonly reported. Chemotherapy increases the risk of thrombo-embolism in patients with cancer. The study aimed to identify the incidence of gemcitabine-related thrombocytosis and to determine whether it has been associated with an increased risk of thrombo-embolism. Methods: Medical records of 175 consecutive adults patients with a malignant disease who received gemcitabine at Saskatoon Cancer Center were reviewed. Patients with history of prior thrombo-embolism or with baseline thrombocytosis were excluded. Fisher’s Exact test was done for statistical analysis. Results: 149 eligible patients with median age of 62 (26–83) and M:F of 1.01:1 were identified. 141 (95%) patients had advanced malignancy and 61 (41%) had received prior chemotherapy. 106 (71%) patients received combination of chemotherapy and 95% of those patients received gemcitabine in combination with a platinum compound. Median number of cycle was 3 (1–8). Median platelets count prior to commencement of gemcitabine was 285 × 109 (44–449). 83 (56%) patients experienced thrombocytopenia whereas 69 (46%) patients experienced thrombocytosis within 3 weeks of treatment with gemcitabine. Median post-gemcitabine platelet count in patients with thrombocytosis was 622 × 109 (457–1385). 15 (10%) patients experienced thrombocytosis with each cycle of gemcitabine. Median duration of thrombocytosis was 2 weeks (0.5−5). 13 (9%) of 149 patients experienced a vascular event (venous, n=9; arterial, n=4) within 6 weeks of treatment with gemcitabine. Median platelet count prior to the vascular event was 268 × 109 (79–669). All except one patient had advanced malignancy and 85% had received combination of chemotherapy. 5 of 69 (7%) patients with thrombocytosis experienced a vascular event compared with 8 of 80 (10%) patients without thrombocytosis (p=0.77). Conclusions: Gemcitabine has been associated with an increased incidence of thrombocytosis. However gemcitabine-related thrombocytosis is a transient phenomenon and has not been associated with an increased risk of a vascular event. No significant financial relationships to disclose.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".