FIXED‐DURATION VENETOCLAX PLUS OBINUTUZUMAB IMPROVES PFS AND MINIMAL RESIDUAL DISEASE NEGATIVITY IN PATIENTS WITH PREVIOUSLY UNTREATED CLL AND COMORBIDITIES
Bibliographic record
Abstract
validated and the 3 risk groups were reproduced in 9 stage A series, including clinical trials (CLL1, n=547, c-index 0.71; CLL7, n=339, cindex 0.73; O-CLL1, n=312, c-index 0.67), institutional (MDACC, n=1225, c-index 0.66; Barcelona, n=355, c-index 0.75; Brno, n=269, c-index 0.69; Sapienza University, n=250, c-index 0.70; Southampton, n=227, c-index 0.75), and population based-series (SCAN, n=224, cindex 0.70).By compiling the training and validation series to narrow the confidence interval of the estimates, among low risk patients median TTFT was not reached and at 10 years 77% of patients were treatment free.Among intermediate-risk patients, median TTFT was 10.69 years (95% CI 9.31-13.60).Among high-risk patients, median TTFT was 3.89 years (95% CI 3.56-4.30)(Fig. 1).Conclusions: Among stage A CLL initially managed with active surveillance, the IPS-A allows to inform upfront patients, physicians and researchers about the likelihood of disease progression.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".