Impact of strict IGF1 control on quality-of-life scores in patients with acromegaly
Bibliographic record
Abstract
Objective Examine, in a real-world setting, whether strict normalization of modestly elevated insulin-like growth factor 1 (IGF1) results in clinical and health-related quality of life benefits in patients with acromegaly using an open-label, non-randomized, 6-month prospective interventional study. Methods In patients with acromegaly and modest IGF1 elevation, strict IGF1 control was achieved by addition or dose escalation of pegvisomant. Clinical and biochemical parameters were assessed at baseline, 1 and 3 months for pegvisomant dose titration, and at 6 months. The Patient-Assessed Acromegaly Symptom Questionnaire (PASQ), the Acromegaly Quality of Life questionnaire (AcroQoL) and the Acromegaly Disease Activity Tool (ACRODAT ® ) were completed at baseline and at 6 months. Results Ten patients (8 males) with mean age of 50.7 years participated in the study. All patients had a macroadenoma and nine had prior transsphenoidal surgeries. At time of screening, six patients were on a somatostatin analog, two on pegvisomant, and two on pegvisomant and a somatostatin analog. After six months of dose escalation or the addition of pegvisomant, IGF1 decreased from 1.22 ± 0.14 to 0.87 ± 0.20 times the upper limit of normal (p=0.001). PASQ score decreased by 3.5 (p=0.02) and the ACRODAT ® overall status decreased by 50.5 (p=0.001); however, there was no difference in the AcroQoL score. Hemoglobin A1c and liver enzymes did not differ and repeat MRI of the sella at 6 months showed no change. Conclusions In this pilot study, stricter control of modest IGF1 elevations led to symptomatic improvement as measured by the PASQ score. These findings prompt larger prospective trials.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".