P.058 Length dependent sensorimotor peripheral neuropathy often results in ventral abdominal sensory loss
Bibliographic record
Abstract
Background: Length-Dependent Sensorimotor Peripheral Neuropathy (LDSMPN) affects the longest nerve fibers in the body. Less well-appreciated, and absent from the current literature, is that LDSMPN affecting thoracic segments gives rise to ventral abdominal sensory loss on clinical exam. Methods: Consecutive patients seen for LDSMPN (n=30) were evaluated prospectively for the presence or absence of ventral abdominal sensory loss. Demographic variables, symptoms, quantitative neurologic findings (Neuropathy Impairment Score [NIS]) and final diagnosis were examined using descriptive statistics. Results: Ventral abdominal sensory loss was documented in 20/30 LDSMPN patients (66.7%), mean age was 64.1 years (range 33-81), M:F gender ratio was 19:11, mean NIS was 21.4 (range 0-77). NCS/EMG abnormalities were found in 25/30 patients, with 5/30 having a clinical exam and/or other electrophysiological evidence convincing for LDSMPN. LDSMPN patients without ventral abdominal sensory loss (n=10) had a mean age of 61.2 (range 45-73), M:F of 7:3, and mean NIS of 20.9 (range 0-54). Conclusions: 1) Ventral abdominal sensory loss appears to be common in patients diagnosed with LDSMPN of a variety of causes; 2) in addition to those innervating distal limb territories, distal sensory fibers from the thoracic region represent another category of length dependent involvement in LDSMPN; 3) the clinical examination of LDSMPN should include the ventral abdomen.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".