Pituitary Adenomas: Presentations and Outcomes in a South Asian Country
Bibliographic record
Abstract
OBJECTIVE: The purpose of this retrospective review of all operated cases of pituitary adenomas in the last decade, is to define the demographic patterns and characteristics of such tumors and to assess surgical outcomes with regards to safety and efficacy of trans-sphenoidal tumor removal in our institution. METHODS: Surgically treated pituitary adenomas presenting from 1995 till 2005 were reviewed for different variables. Results were expressed as mean, standard deviation and median for continuous and number with percentage for categorical data. Chi square test was applied to measure differences and significance was taken atp value < 0.05. RESULTS: One hundred and twenty-five patients were operated for pituitary adenoma. Sixty-three percent were male and mean age was 37 years. Sixty percent of the patients presented with headache and/or visual symptoms. Twelve percent presented with pituitary apoplexy and 28% presented with symptoms due to pituitary hyperfunction. Fifty-five percent of patients had functioning and 44% had nonfunctioning adenomas. Mean pre operative tumor diameter from 86 pre op MRI scans was 26.76 mm (3-78 mm). Eighty-four percent of patients underwent trans-sphenoidal tumor resection and three percent had craniotomy. Mean size of post op residual tumor as calculated from 76 available post operative scans was 5.3 mm (range 0-31 mm). 17.6% of the patients required hormone replacement beyond three months and 10% were re-operated. Overall mortality was 1.6%. CONCLUSION: In Pakistan, patients are more likely to present either with apoplexy or with a giant pituitary adenoma than patients reported from developed countries. Overall, our results have been satisfactory and comparable with the literature.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".