Determinants of DLCO and contribution to exercise capacity and symptoms
Bibliographic record
Abstract
Background: The single breath diffusion capacity for carbon monoxide(DLCO) is part of comprehensive pulmonary function testing. Research questions: What are the factors that influence the DLCO, and how does the DCLO influence the intensity of symptoms and the maximum power output achieved during exercise? Methods: Incremental cardio-pulmonary exercise testing included pulmonary function testing, capillary blood gases and muscle strength at McMaster University Medical Center between 1988-2012. This allowed a quantitative analysis of these factors to the symptoms experienced on mBORG scale as power incrementally increased to the MPO achieved. Results: 37,672 subjects had DLCO measured. In the 16,298 with normal spirometry and exercise capacity, the DLCO equation was calculated. In the total population, the effort required to cycle, and breath intensified in a positively accelerating fashion with power and increased as the MPO achieved decreased. Interpretation: The DLCO is predominantly influenced by height, is 15% higher in males, and 6% higher per gram of haemoglobin. A lower DLCO is associated with an increase in symptom intensity, and a lower MPO during exercise
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.005 | 0.001 |
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".