Dynamic changes of hematological indices in oropharyngeal cancer patients treated with radiotherapy
Bibliographic record
Abstract
Background Hematological indices assist in predicting clinical outcomes.Objectives To explore changes of hematological indices on oropharynx squamous cell carcinoma (OPSCC) patients received radiotherapy and their association with survival.Material and methods The white blood cell count (WBC), absolute neutrophil count (ANC), absolute lymphocyte count (ALC), hemoglobin (Hb), platelet (Plt), albumin (Alb), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) at baseline, 1-, 3-, 6- and 12-months follow-up were retrospectively collected. The trajectory of indices was described. A linear model with random effects was to describe indices’ changing rate and trend. Univariable Cox analysis was to assess the correlation between indices and survival.Results Of the 85 patients, WBC and ALC dropped during acute phase and gradually recovered, while NLR and PLR increased during acute phase and subsequently declined (all p < .01). Higher absolute value of nutritional indices (Alb and Hb) was associated with better prognosis (p < .05). In contrast, patients with higher absolute value or upward trend of inflammatory indices (ANC, Plt, NLR and PLR) had worse survival (p < .05).Conclusions and significance The short- and long-term changes of indices differed in OPSCC patients received radiotherapy, and absolute values and dynamic changes of indices had the potential to be prognostic factors.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 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 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".