Characterization of management and outcomes of patients with acromegaly in Vancouver over 30 years
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to characterize the management and outcomes of patients with acromegaly seen in single center in Vancouver, British Columbia, Canada over a 30 year period. METHODS: The study involved retrospective data collection from charts of patients diagnosed with acromegaly since 1980: 130 patients (63 male and 67 female) were included in the analysis, with a mean age at diagnosis of 43 years (male) and 47 years (female). RESULTS: The most common presenting features included acral enlargement, coarse facial features, sweating/oily skin and headache. All cases were caused by pituitary adenomas, of which 58.5% were macroadenomas and of these, 30.8% were invasive. The most common co-morbidities were hypertension 31.5%, arthralgia 28%, diabetes 27.7% and sleep apnea 23.8%. The vast majority (88.5%) of patients was treated surgically and of these patients, 21.5% also received radiotherapy and 66.9% received medical therapy. When stringent cure criteria were applied (based on latest growth hormone (GH) and IGF-1 results) the outcomes were 35.4% cured or controlled, 30% remained active, 15.4 discordant results and 19.2 % with no results reported. Twenty eight percent of patients who underwent surgery and 32% of patients who underwent radiotherapy were not cured but symptoms were moderately well controlled with medical therapy. CONCLUSION: Based on the size of population studied, this study showed a prevalence of acromegaly of 29 per million. The cure rate was low following surgery but with adjuvant medical treatment disease control was achieved in most individuals.
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.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".