Microscopic versus endoscopic pituitary surgery: A systematic review
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: To critically review current literature comparing microscopic versus endoscopic surgery in the treatment of pituitary adenomas. STUDY DESIGN: Systematic review of the literature. METHODS: All English language literature published between January 1989 and June 2009 on PubMed were eligible for inclusion. Inclusion criteria were: direct comparison between microscopic and fully endoscopic approaches and surgery performed with the intent to treat a pituitary adenoma. Endoscopic-assisted comparisons and studies comparing outcomes with previous literature were excluded. Technical notes, case reports, letters, and comments were also excluded. Included studies were categorized according to level of evidence and evaluated for quality using a modified Downs and Black scale. Data was extracted and compared between studies. RESULTS: Of the 3,586 studies retrieved from the search strategy, 11 studies met the inclusion and exclusion criteria. Various outcomes measures were used including: operating time, extent of tumor resection, postoperative normalization of hormone levels, incidence of complications, length of hospital stay, and patient pain and discomfort. The endoscopic approach decreased operating time, lumbar drains, immediate postoperative diabetes insipidus, some rhinologic complications, length of hospital stay, and patient pain and discomfort. Other outcome measures were comparable between the two approaches. CONCLUSIONS: The literature comparing endoscopic and microscopic pituitary surgery favors the endoscopic approach for pituitary surgery. Major outcome measures (extent of tumor resection, changes in hormone levels) do not differ between the two approaches. Complications, time in the operating room and hospital, and patient discomfort are significantly less with the endoscopic approach.
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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 | 0.015 | 0.058 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.005 |
| Bibliometrics | 0.013 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".