Secondary Hairy Cell Leukemia in a Patient With Chronic Myelogenous Leukemia Following Treatment With Tyrosine Kinase Inhibitors: Report of an Extremely Rare Case and Review of the Literature
Bibliographic record
Abstract
The occurrence of chronic myelogenous leukemia (CML) and hairy cell leukemia (HCL) in the same patient is extremely rare. The reported cases had either CML and HCL occurring simultaneously or development of CML after HCL. We report an unusual case of CML with subsequent development of HCL after treatment with tyrosine kinase inhibitors. The diagnosis was challenging both clinically and pathologically due to the expected side effects of tyrosine kinase inhibitors and low levels of hairy cells initially. We further showed that the CML and HCL are not clonally related, in contrast to the only case in which clonality study was performed. To our knowledge, this is the first report of HCL developing in patients with CML. J Med Cases. 2012;3(1):39-42 doi: https://doi.org/10.4021/jmc404w
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 | 0.002 |
| 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 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".