Thromboprophylaxis In Multiple Myeloma Patients Undergoing Immunomodulatory Therapy with Thalidomide and Lenalidomide: A Systematic Review and Meta-Analysis.
Bibliographic record
Abstract
Abstract Abstract 1090 Background: The incidence of venous thromboembolism (VTE) in patients with multiple myeloma (MM) is high in patients treated with thalidomide (T)- and lenalidomide (L)-based regimens containing dexamethasone (D) and/or cytotoxic chemotherapy (C). Consensus guidelines recommend routine thromboprophylaxis but reliable data from randomized controlled trials are lacking. Recent observational studies have suggested that thromboprophylaxis might be efficacious in decreasing the risk of VTE in this population. Purpose: To determine the absolute rates of VTE with and without different thromboprophylactic agents (ASA, warfarin, low-molecular-weight-heparin [LMWH]) in patients with newly diagnosed or previously treated MM receiving T- or L-based regimens. Data Source: A systematic literature search strategy was conducted using MEDLINE, EMBASE, the Cochrane Register of Controlled Trials and all EBM Reviews of published studies up to Jan 2010. Results: A total of 66 studies were included in the analyses. Of these, 61 (4264 patients) and 5 (1119 patients) assessed T- and L-based regimens, respectively. Thalidomide-based regimens The rates of VTE (per 100 patient-cycles) in patients with newly diagnosed MM treated with T-based regimens: The rates of VTE (per 100 patient-months) in patients with previously treated MM managed with T-based regimens: Lenalidomide-based regimens The rates of VTE (per 100 patient-cycles) in patients with newly diagnosed MM treated with L-based regimens: The rate VTE (per 100 patient-months) in patients with previously treated MM managed with L-based regimens: None of the studies reported major bleeding events. Limitations: The definition for VTE varied across studies. Most studies did not outline the diagnostic criteria for VTE. Data are not available (NA) for all prophylaxis regimens. Conclusion: Patients with newly diagnosed or previously treated MM receiving T- or L-based regimens are at high risk of VTE. It is uncertain whether thromboprophylaxis provides a clear benefit, especially in those receiving L-based therapy or have previously treated disease. Randomized controlled trials are needed to address this important clinical need. Disclosures: Lee: Eisai: Research Funding; Sanofi Aventis: Consultancy, Honoraria; Leo Pharma: Consultancy; Pfizer: Consultancy, Honoraria; Bayer: Honoraria; Boehringer Ingelheim: Consultancy, Honoraria, Speakers Bureau.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.025 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".