Factors associated with recurrence after endoscopic transphenoidal surgery for Cushing’s disease
Bibliographic record
Abstract
Introduction: Surgical removal is the standard treatment for Cushing’s disease. Although endoscopic transsphenoidal surgical (ETS) approach has grown in popularity, its efficacy has not yet been established. Furthermore, achieving long-term remission remains challenging. Methods: We conducted a retrospective chart review of 39 consecutive patients who underwent ETS for Cushing’s disease at our institution between 2005 and 2014. Univariate analysis using Pearson’s χ2 test was carried out on variables of patient demographics, radiology, pathology, biochemical markers versus recurrence. Results: The mean age was 40, with 82% females. Average length of follow-up was 44.8 months. Based on serum cortisol level, 28 patients (71%) achieved mid to long-term remission after ETS. Of them, 25 experienced an immediate remission, and 3 achieved a delayed remission as long as 4 months postoperatively. MRI findings of (1) microadenomas or no detectable abnormality, (2) adjacency to the cavernous sinus wall were associated with significantly higher recurrence rate (p<0.05). Histologically, MIB-1 >5% was not a significant variable (p=0.55). Conclusion: We found ETS resection to be an effective and safe procedure for majority of the ACTH-secreting adenomas, with remission rates >70%. Additionally, patients with microadenomas, negative preoperative MR, and cavernous sinus adjacency were less likely to achieve remission.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".