Survival when treating adenoid cystic carcinoma of the external auditory canal: quantitative assessment of case reports.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Adenoid cystic carcinoma (ACC) of the external auditory canal is a rare neoplastic condition. The purpose of this study was to conduct a quantitative review of case reports to assess the efficacy of treatment options and assess prognostic factors. METHODS: Cases were identified using PubMed. Kaplan-Meier curves were used to plot overall and disease-free survival. The log-rank test was used to compare survival curves in the univariate analysis for perineural invasion, margin status, and specific treatment modalities. A Cox proportional hazard model was used for multivariate analysis. RESULTS: Sixty-six cases were identified. The univariate analysis suggests an increased overall (p = .03) and disease-free (p = .03) survival for those treated with parotidectomies, whereas temporal bone resection decreased survival (p = .07). There was no overall or disease-free survival advantage using radiation (p = .8). Positive margins decreased both overall (p = .05) and disease-free survival (p = .02). Perineural invasion was not significant. The multivariate analysis confirmed the findings for parotidectomies (p = .02) and temporal bone resections (p = .01). CONCLUSIONS: Although the short-term survival for ACC is high, the risk of metastasis and poor long-term survival is high. In addition to local excision with negative margins, the surgeon should perform a parotidectomy.
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.
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 | 0.001 | 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 it