Bilateral Finger Jerks as a Useful Sign for Diagnosis of Cervical Compressive Myelopathy
Bibliographic record
Abstract
Background : Bilateral finger jerks are very frequently observed when we examine cervical compressive myelopathy patients. It is very important to determine what sign or symptom is useful for the early diagnosis of cervical compressive myelopathy. Methods : We studied 24 patients with cervical compressive myelopathy. We studied neurological signs and symptoms (bilateral finger jerks, the attitude of deep tendon reflexes, patients’ complaints especially tingling sensations of hands, Hoffmann’s signs) and compared with level diagnoses made by T2-weighted MRI. Results : Eleven patients showed bilateral finger jerks: among these 11 patients, seven patients showed hyperreflexia of biceps and brachioradial reflexes and four patients showed hyporeflexia (inverted radial reflex). All patients with bilateral finger jerks showed lesions at the C5-6 or C4-5 intervertebral levels (C7 or C6 spinal cord levels) on MRI. Among four patients who showed bilateral finger jerks with hyporeflexia (inverted radial reflexes), two patients showed lesions at C5-6 intervertebral level (C7 spinal cord level). Nine patients showed generalized hyperreflexia. 14 patients developed tingling sensations of the hands: among these 14 patients, five patients were affected unilaterally and nine patients were affected bilaterally. Among these 14 patients with tingling sensations of the hands, seven had lesions at the C4-5 intervertebral levels and six had C5-6 intervertebral levels. Sensory levels were observed in five patients. Hoffmann’s signs were not observed in any patients. Therefore, 23 of 24 (96%) cervical compressive myelopathy patients showed bilateral finger jerks or generalized hyperreflexia or complained tingling sensations of hands. Conclusions : We must conclude that deep tendon reflex examination especially the observation of bilateral finger jerks or generalized hyperreflexia and history taking of tingling sensations of hands are useful for the screening of cervical compressive myelopathy. J Neurol Res. 2011;1(1):22-29 doi: https://doi.org/10.4021/jnr15w
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".