Factors influencing the incidence and severity of oral mucositis in patients undergoing autologous stem cell transplantation
Bibliographic record
Abstract
This retrospective descriptive study documented the frequency of oral mucositis and examined the impact of certain variables in the development of oral mucositis in autologous stem cell transplants. Oral mucositis occurred in 90% of the patients, but 53.57% developed ulcerations. On average, oral mucositis started on day seven, lasted for six days and resolved on day 13 after the initiation of chemotherapy. Sodium bicarbonate mouthwash and mucositis mouthwash were commonly used interventions; 72.92% of the interventions were used as secondary prevention. Oral mucositis was significantly associated with diagnosis (lymphoma), chemotherapy (etoposide and melphalan), and level of prevention (secondary). Diagnosis (lymphoma), chemotherapy (etoposide and melphalan), serum creatinine (peak level), and level of prevention (secondary) were independent predictors of oral mucositis.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".