Serum matrix metalloproteinase-9 activity in obstructive sleep apnea
Bibliographic record
Abstract
The study was approved by the University of Saskatchewan Ethics Committee.Written consent was obtained from all participants.The detailed inclusion and exclusion criteria as well as a thorough description of the undertaken procedures were described in our previous study. 1 Severity of OSA was established based on the apnea -hypopnea index (AHI) categorized according to the American Academy of Sleep Medicine criteria.The clinical cutoffs for the AHI were as follows: ≥5 events/h of sleep (mild OSA), ≥15 events/h of sleep (moderate OSA), ≥30 events/h of sleep (severe OSA).Patients who were not diagnosed with OSA (AHI <5 events/h of sleep) were classified as controls.The severity of hypoxemia was established based on the oxygen desaturation index (ODI) with 3% desaturation as a cutoff.All patients self -completed a questionnaire which included sociodemographic characteristics and medical history.Total WBC counts were analyzed at the hospital laboratory and the results were obtained from the online database. Blood sampling and measurement of MMP -9 activityBlood samples have been collected from participants in the morning after polysomnography.Gelatin zymography, used for the measurement of MMP -9 activity, was performed as previously described. 1Statistical analysis Descriptive statistics of participant baseline characteristics were calculated using the χ 2 test and one -way analysis of variance with post hoc Scheffe tests.The comparisons of MMP activity between groups were performed using the Mann-Whitney test and the Kruskal-Wallis test (with the Bonferroni correction) as MMP -9 distribution did not meet
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".