Endonasal endoscopic transsphenoidal excision of tuberculum sellae meningiomas: a systematic review.
Bibliographic record
Abstract
INTRODUCTION: The endonasal endoscopic approach (EEA) for the resection of tuberculum sellae meningiomas (TSMs) has, more recently, been advocated as an alternative approach to deal with this challenging tumor. The aim of this study was to conduct a systematic review of publications of TSMs excised through the transsphenoidal route in the past 10 years and review data on the extent of excision, visual outcomes and complication rates. EVIDENCE ACQUISITION: We performed a thorough systematic review of the medical literature following the PRISMA guidelines. A medical librarian retrieved a list of 3443 articles published from 2006-2015 from the MEDLINE, EMBASE and Cochrane Central databases. Two of the authors independently screened for titles and abstracts and excluded 3340 of them. We reviewed the full text of the remaining 103 articles and included in our analysis 12 that met the following inclusion criteria: 1) 5 or more cases reported; 2) the extent of resection, visual outcomes and complication rates that were specifically documented for TSMs excised through the transsphenoidal route. EVIDENCE SYNTHESIS: Twelve studies that included 150 patients were analyzed. The mean age was 55 years. The mean tumor volume, reported in 2 studies, was 6.6 cc and mean maximum diameter, reported in 11 studies, was 25 mm. The gross total resection rate was 77.2%. Vision improved in 79.5% of cases and deteriorated in 7.3%. CSF leak postoperatively occurred in 15.3% of patients. In the 11 studies that reported hormonal outcomes, there was a 9.4% transient hyponatremia or diabetes insipidus and 2.2% of patients developed a new permanent endocrine dysfunction. A symptomatic vascular injury was reported in 2.6% of patients. There was one mortality (0.6%). CONCLUSIONS: The endonasal endoscopic transsphenoidal excision of TSMs is a feasible, safe and effective surgical option with a low morbidity and mortality. The use of this approach has evolved in the last 10 years and in some centers has replaced the transcranial route for selected cases. Given the limited availability and heterogeneity of comparative observational studies, a direct comparison with transcranial approaches was not performed for the purpose of this review analysis. Likewise, from an epidemiological and statistical perspective a meta-analysis was deemed inappropriate.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".