Liraglutide for idiopathic intracranial hypertension: a real‐world propensity score‐matched study
Bibliographic record
Abstract
OBJECTIVE: Idiopathic intracranial hypertension (IIH) is a neurological disorder predominantly affecting young women with obesity, characterized by elevated intracranial pressure. While current treatments include weight loss counseling, medical therapies, and surgical interventions, their limitations necessitate exploring novel therapeutic approaches. We investigated the efficacy of liraglutide as an adjunctive therapy in IIH management. METHODS: We conducted a retrospective cohort study, analyzing adult patients with IIH. Through propensity score matching, we compared patients receiving liraglutide alongside standard therapy (n = 204) with those receiving standard therapy alone (n = 204). Primary outcomes included papilledema, headache manifestations, and visual disturbances, assessed at 3, 6, 12, and 24 months posttreatment initiation. RESULTS: Our matched cohorts were predominantly female (95.1% vs. 97.1%) with comparable mean ages (37.6 vs. 37.3 years). Liraglutide treatment demonstrated significant reduction in papilledema risk at 3 months (RR 0.333, 95% CI 0.167-0.664, p = 0.001), with sustained benefits throughout 24 months (RR 0.524, 95% CI 0.325-0.845, p = 0.006). While improvements were observed in visual disturbances, headache symptoms, and refractory IIH cases, these did not reach statistical significance. INTERPRETATION: Our findings suggest that liraglutide as an adjunctive therapy significantly improves papilledema outcomes in IIH patients, with the greatest effect observed at 3 months and sustained benefits over 2 years. This study provides promising evidence for liraglutide's role in IIH management, particularly in addressing papilledema.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".