Nascent Potential: May It Be a Marker in Prediction of Malignant Course in Acute Motor Axonal Neuropathy?
Bibliographic record
Abstract
Acute motor axonal neuropathy (AMAN) is a subtype of Guillain-Barre syndrome (GBS) that is associated with a longer duration of illness and worse prognosis. Nonetheless, AMAN recovers well according to acute motor-sensory axonal neuropathy (AMSAN) that has been attributed to the underlying mechanisms such as terminal axonal damage as well as ganglioside antibody related injuries at nodes of Ranvier, rather than a primary axonopathy. On the other hand, in malignant coursed AMAN, ventral root degeneration has been shown to be the responsible mechanism for slow and incomplete recovery in these patients. In this report, I present a patient with malignant coursed AMAN who developed a rapidly, severe course of illness and no significant response to therapies (intravenous immunoglobulin and plasmapheresis) could be achieved even on the second month of follow-up. Via the presentation of this case, I draw attention to nascent potentials on electromyography as a potential paraclinical marker for malignant course in AMAN. Future studies investigating the utilizability of nascent potentials in determination of the prognosis of AMAN may provide vulnerable perspectives. In my opinion, these studies may also add crucial data for clarification of the unsolved pathophysiological mechanisms of AMAN. J Neurol Res. 2017;7(1-2):16-18 doi: https://doi.org/10.14740/jnr418w
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.002 |
| 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".