Docetaxel-associated myalgia–arthralgia syndrome in patients with breast cancer
Bibliographic record
Abstract
BACKGROUND: As taxanes are increasingly used in oncology, the myalgia-arthralgia syndrome (M-AS) that represents an adverse effect of these drugs is becoming more common. Nevertheless, information regarding predisposing factors, prevention, and therapy of the syndrome is still lacking. PATIENTS AND METHODS: Women who had received docetaxel as part of the FEC-D(T) regimen for the adjuvant treatment of breast cancer were retrospectively identified from the records of our oncology department. Data on demographics, disease specifics, adverse effects, and treatment were reviewed. Patients were divided into two groups: those who developed M-AS after docetaxel treatment and those who did not develop the syndrome. The two groups were compared to identify risk factors for M-AS. Effectiveness of drugs used for M-AS was evaluated. RESULTS: Sixty-seven patients were identified as fulfilling the inclusion criteria. Nineteen patients developed the M-AS after the first docetaxel administration. Forty-eight patients did not develop the syndrome. Three patients in this group were excluded because they had been taking gabapentin or pregabalin at the time of docetaxel administration for another indication. The remaining 45 patients constituted the control group. The two groups were similar in age, menopause status, stage of their cancer, and histology. The M-AS group had a higher median body surface area and was more likely to receive less than the three intended cycles of docetaxel. Nonsteroidal anti-inflammatory drugs, atypical antiepileptics, extended corticosteroids, and opioids were drugs used as M-AS treatments. CONCLUSION: Docetaxel-associated M-AS is an adverse effect causing incomplete drug treatment. Possible risk factors and effectiveness of treatments for the syndrome are presented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 0.000 |
| 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 teacher head, 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".