A systematic review of transoral robotic surgery and radiotherapy for early oropharynx cancer: A systematic review
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
OBJECTIVES/HYPOTHESIS: To demonstrate the comparative effectiveness of transoral robotic surgery (TORS) to intensity modulated radiotherapy (IMRT) for early T-stage oropharyngeal cancer. DATA SOURCES: The search included MEDLINE, EMBASE, CENTRAL, PsychInfo, CINAHL, and bibliographies of relevant studies through September 2012. METHODS: Studies included patients treated for early T-stage oropharynx cancer with TORS or IMRT. Study retrieval and data extraction were conducted in duplicate and resolved by consensus. Treatment- specific details, as well as recurrence, survival, and adverse events, were collected. Methodologic quality for each study was appraised. RESULTS: Twenty case series, including eight IMRT studies (1,287 patients) and 12 TORS studies (772 patients), were included. Patients receiving definitive IMRT also received chemotherapy (43%) or neck dissections for persistent disease (30%), whereas patients receiving TORS required adjuvant radiotherapy (26%) or chemoradiotherapy (41%). Two-year overall survival estimates ranged from 84% to 96% for IMRT and from 82% to 94% for TORS. Adverse events for IMRT included esophageal stenosis (4.8%), osteoradionecrosis (2.6%), and gastrostomy tubes (43%)-and adverse events for TORS included hemorrhage (2.4%), fistula (2.5%), and gastrostomy tubes at the time of surgery (1.4%) or during adjuvant treatment (30%). Tracheostomy tubes were needed in 12% of patients at the time of surgery, but most were decannulated prior to discharge. CONCLUSION: This review suggests that survival estimates are similar between the two modalities and that the differences lie in adverse events.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.023 | 0.002 |
| 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) | 0.000 | 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