A Comparison of Electrodiagnostic Tests in Ocular Myasthenia Gravis
Bibliographic record
Abstract
OBJECTIVES: : We aimed to determine whether the diagnostic yield of single-fiber electromyography (SFEMG) in different grades of ocular myasthenia gravis (OMG) is enhanced by repetitive nerve stimulation studies (RNS). METHODS: : One hundred twenty-one patients with a diagnosis of mild, moderate, or severe OMG based on clinical criteria had SFEMG of the frontalis muscle and RNS of the facial nerve. Tests results were compared by contingency table analysis. RESULTS: : In these patients, 19% had abnormal RNS and 95% had abnormal SFEMG. SFEMG was abnormal in 93%, 96%, and 100% with mild, moderate, and severe OMG, respectively. One patient with abnormal RNS had normal SFEMG, but the SFEMG study was incomplete. CONCLUSION: : Like in generalized MG, SFEMG is more sensitive than RNS for all grades of OMG. Furthermore, if a complete SFEMG study is normal, addition of RNS does not improve the diagnostic yield.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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".