Hair repigmentation associated with thalidomide use for the treatment of multiple myeloma
Bibliographic record
Abstract
A 75-year-old woman diagnosed with multiple myeloma in 2007 began treatment with monthly melphalan and prednisone for a total of 9 cycles in combination with thalidomide in 2009. The patient subsequently continued on thalidomide for long-term maintenance therapy. 3 years following initiation of thalidomide, the patient mentioned to her oncologist that her hair had become darker over the years. She attributed the change to thalidomide given the temporal relationship and progressive darkening over the course of therapy. The patient denies ever using any hair colouring treatments and had longstanding grey/white hair before beginning thalidomide in 2009. A case of hair repigmentation associated with the use of lenalidomide, a 4-amino-glutamyl analogue of thalidomide, in a patient with multiple myeloma was previously reported in the literature. We report herein the first case of hair repigmentation associated with the use of thalidomide, a related immunomodulatory drug.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".