Outcomes of adult patients with acute myeloid leukemia and unsuccessful cytogenetic analysis undergoing allogeneic hematopoietic stem cell transplantation
Bibliographic record
Abstract
Objective/Background: Unsuccessful cytogenetic (US) analysis at baseline has been reported to be a poor prognostic feature in patients with acute myeloid leukemia (AML). We conducted this study to examine the prognostic impact of UC/inconclusive cytogenetic analysis on outcomes in patients with AML undergoing allogeneic hematopoietic stem cell transplantation (Allo HSCT). Methods: We retrospectively analyzed all adults undergoing Allo HSCT for AML from January 2011 to August 2019. Patients with any documented cytogenetic abnormalities were excluded. Baseline characteristics and transplant outcomes were compared between patients with normal cytogenetics and those with UC. Results: Overall, 243 AML patients (median age, 55 years; 55.1% female) were included. UC were reported in 79 patients, whereas 164 patients had a normal karyotype. The two groups were similar to each other in terms of baseline demographics, treatment received, and transplant related variables. There was no difference between patients with UC and normal cytogenetics in terms of relapse-free survival (66 months vs. 42 months, p = .53) or overall survival (OS; 77 months vs. 76 months, p = .72). Survival parameters remained similar even in subgroup analysis based on NPM1 and FLT3 mutation status. Significant predictors of OS after Allo HSCT in AML patients with UC were increased age at time of Allo HSCT (hazard ratio [HR] = −1.049; 95% confidence interval [CI], 1.005–1.095), favorable (NPM1 Mut /FLT3 wt ) mutation profile (HR = 0.11; 95% CI, 0.01–0.84), neutrophil engraftment < 17 days, and absence of chronic graft-versus-host disease (HR = 3.27; 95% CI, 1.20–8.60). Conclusion: Outcomes after Allo HSCT are comparable between AML patients with UC analysis and patients with normal cytogenetics even after stratification based on molecular risk factors. Allogeneic Allo HSCT may mitigate the poor prognosis of UC analysis in patients with AML.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".