Poster (Clinical/Best Practice Implementation) ID 1984972
Bibliographic record
Abstract
Background Heart disease is the most common cause of death after spinal cord injury or disease (SCI/D), with Cardiometabolic Disease (CMD) risk a primary contributor. Objectives 1) To report the frequency of Physical Activity guideline adherence; 2) To report the frequency of serum lipid screening recall and their recollection of the result interpretation; among adults living with SCI/D in the community. Methods A Kinesiologist collected the SCI-High outcome data via in person or phone 1:1 interviews, and chart abstraction among UHN outpatients. A Provincial Intake Coordinator collected data via phone interview among outpatients affiliated with SCI Ontario. Survey responses were scored using Reachlite’s optical character recognition software. Descriptive statistics characterize the participant’s age, sex, impairment characteristics, and adherence to physical activity guidelines and the frequency of lipid screening/interpretation recall. Best practice education materials were used to increase future PA guideline adherence, prompt lipid screening, and healthy food choices. Results Adult outpatients (n=127, 67% male), mean age 61 years, and 55% paraplegic consented to participate. In total, 48% (60/126) of outpatients reported engaging in some form of aerobic exercise; of whom 50% (30/60) of these individuals were meeting current PA guidelines. About 51% of outpatients recalled lipid screening within the last year, 33% indicated they had not had an assessment. Clinical interpretation of lipid values was recalled by 71% (53/75) of outpatients. Conclusion Physical activity guideline adherence and routine lipid assessments are integral to CMD risk modification – substantial education resources and recall aids may help to modify CMD risk after SCI/D.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.857 | 0.727 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".