The Autonomic Reflex Screen in Healthy Participants from Southwestern Ontario
Bibliographic record
Abstract
BACKGROUND: The autonomic reflex screen (ARS) is a composite of well-defined tests of various autonomic domains and is an essential part of the diagnosis of autonomic disorders. Institutional and regional differences exist and necessitate the ongoing development of control values for the ARS. Here we present data obtained from healthy participants from Southwestern Ontario. METHODS: A total of 121 healthy individuals underwent quantitative sudomotor axon reflex testing (QSART), heart rate response to deep breathing (HRDB), and Valsalva maneuver using standard protocols as part of the ARS. RESULTS: Sweat volumes obtained during QSART are presented by site (forearm, proximal leg, distal leg and foot) and by gender. Data is expressed as the mean sweat volume per site with the associated 2.5th, 5th and 95th percentiles. Data for males and females is also stratified by age group (14-25, 26-40 and 41-76 years). Measurements of cardiovagal parasympathetic function including HRDB and Valsalva ratio are stratified by age group (14-25, 26- 40 and 41-76 years). Data is expressed as the mean with associated percentiles (2.5, 5, 95 and 97.5 percentiles). CONCLUSIONS: The current manuscript provides control data for the various components of the ARS to aid in the diagnosis of autonomic disorders. La grille de dépistage des réflexes autonomes chez des sujets en bonne santé du sud-ouest de l'Ontario.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".