Published guidelines versus real‐life practice in the diagnosis and treatment of essential thrombocythemia
Bibliographic record
Abstract
vs. bone marrow), conditioning regimen (conventional [CON] vs. reduced intensity [RIC]), primary disease, and status at transplant.Thrombocytopenia was distinguished as persistent or transient in the presence of a or <30 day duration of platelet count reduction, respectively.Clinical conditions related or associated with the development of thrombocytopenia (i.e.cGVHD, infectious complications, relapse, microangiopathy, or other) were evaluated.Quantitative variables were tested for normal distribution using the Shapiro-Wilk test.Comparisons between groups were performed with t test or U-Mann Whitney test, depending on Shapiro-Wilk test results.g 2 tests were used to analyze categorical values; when assumptions for g 2 test were not verified, Fisher's exact test was used.Survival curves were estimated using the Kaplan-Meier method.Overall survival (OS) was analyzed using log-rank tests and Cox proportional hazard models, after the proportional hazards assumption had been verified.
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 | 0.056 | 0.186 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| 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".