Impact of sex on outcomes in patients with hairy cell leukemia (HCL): An HCL Patient Data Registry (PDR) analysis.
Bibliographic record
Abstract
7577 Background: HCL is a rare indolent leukemia that is more common in men, with a 4:1 male predominance. To date, no studies have characterized the potential difference in outcomes of HCL between male and female patients. Hence, we sought to evaluate the outcomes of female HCL patients using the HCL-PDR. Methods: The HCL Foundation sponsored the development of HCL-PDR to characterize the clinical features and outcomes of this rare leukemia. HCL-PDR is an international multicenter PDR that includes patient, disease and treatment information abstracted from medical records. Adult patients enrolled in the HCL-PDR were included in the study. Female patients with HCL were the study population, with males as the comparator. The primary endpoint was the time to next treatment (TTNT) in females compared to males. Secondary endpoints included response rates (RR) and predictors of TTNT. Responses were categorized as: complete response (CR) including CR/CRu (CR unconfirmed)/HR (hematologic response), and partial response (PR), which included PR/PRu (PR unconfirmed)/pHR (partial HR). CRu was defined as no disease in bone marrow (BM) without available blood counts and HR as blood counts meeting criteria for HR, but no available BM. Cox proportional hazard models were used to estimate the hazard ratios for TTNT risk. Results: 357 patients were included: 265 males and 92 females. Table shows baseline characteristics stratified by sex. Among the patients who had disease status assessed after first treatment (n=224, males 169 and females 55), there was no significant difference in RR. However, females had significantly longer median TTNT (17.6 years) relative to males (8 years, HR 0.54, 95% CI 0.32-0.91, p=0.02) that remained significant after adjusting for other variables (RR and BRAF mutation) in multivariable analysis (HR 0.32, 95% CI 0.11-0.97, p=0.04). Factors predictive of longer TTNT include female sex and CR (HR.0.26, 95% CI 0.11-0.57, p=0.001). Conclusions: This is the first study to date reporting the clinical characteristics and outcomes in female HCL patients. The significantly longer TTNT in females compared to males may be related to factors such as underlying molecular features or hormonal influences. This finding needs to be explored further. [Table: see text]
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".