Sonography of the Optic Nerve Sheath Diameter for Detection of Raised Intracranial Pressure Compared to Computed Tomography
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Bibliographic record
Abstract
OBJECTIVES: The diagnosis of raised intracranial pressure (ICP) is important in many critically ill patients. The optic nerve sheath is contiguous with the subarachnoid space; thus, an increase in ICP results in a corresponding increase in the optic nerve sheath diameter. The objective of this study was to assess the diagnostic accuracy of sonography of the optic nerve sheath diameter compared to computed tomography (CT) for predicting raised ICP. METHODS: We searched PubMed, EMBASE, and the Cochrane database from 1986 to August 2013 and performed hand searches. Two independent reviewers extracted data. Study quality was assessed by using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool. We calculated κ agreement for study selection and evaluated clinical and quality homogeneity before the meta-analysis. RESULTS: From 1214 studies, we selected 45 for full review. Twelve studies with 478 participants were included (κ = 0.89). Ocular sonography yielded sensitivity of 95.6% (95% confidence interval [CI], 87.7%-98.5%), specificity of 92.3% (95% CI, 77.9%-98.4%), a positive likelihood ratio of 12.5 (95% CI, 4.16-37.5), and a negative likelihood ratio of 0.05 (95% CI, 0.02-0.14). Average quality according to the QUADAS tool was 7.4 of 11. There was moderate to high heterogeneity based on the prediction ellipse area and variance logit of sensitivity (2.1754) and specificity (2.6720). CONCLUSIONS: Ocular sonography shows good diagnostic test accuracy for detecting raised ICP compared to CT: specifically, high sensitivity for ruling out raised ICP in a low-risk group and high specificity for ruling in raised ICP in a high-risk group. This noninvasive point-of-care method could lead to rapid interventions for raised ICP, assist centers without CT, and monitor patients during transport or as part of a protocol to reduce CT use.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 it