Clinical and demographic differences between idiopathic intracranial hypertension patients with mild and severe papilledema
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to evaluate whether papilledema severity is associated with specific demographic or clinical factors in patients with idiopathic intracranial hypertension (IIH). MATERIALS AND METHODS: A retrospective cohort study of consecutive IIH patients seen at one tertiary care institution between 1989 and March 31, 2017 was performed. IIH patients were classified as mild (Frisén Grade 1 or 2) or severe (Frisén Grade 4 or 5) based on grading of fundus photographs obtained at first presentation. Demographic and clinical variables including age, body mass index (BMI), gender, visual acuity, Humphrey visual field mean deviation, and cerebrospinal fluid (CSF) opening pressure were extracted from patient medical records for statistical analyses. RESULTS: A total of 239 patients were included in the study: 152 with mild papilledema and 87 with severe papilledema. There was no difference in age, race, BMI, or male gender between the mild and severe papilledema groups. CSF opening pressure was significantly higher in the severe papilledema group (41.89 cm of water vs. 33.69, 95% confidence interval [CI]: −10.79–−5.62, P < 0.0001). There was a significant difference in the Humphrey mean deviation (−6.38 dB compared to − 3.25 dB, 95% CI: −4.82–−1.44 dB, P < 0.001) and average logarithm of the minimum angle of resolution visual acuity at final follow-up (0.21 vs. 0.045, 95% CI: −0.299–−0.040, P = 0.01). CONCLUSION: Age, race, sex, and BMI were similar in IIH patients with mild versus severe papilledema, emphasizing the importance of a dilated fundus examination to reliably stratify patients. Patients with severe papilledema are at higher risk of visual acuity and visual field loss at final follow-up.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".