Cardiopulmonary exercise testing for the measurement of maximal oxygen uptake in people with cancer-related fatigue: a retrospective analysis
Bibliographic record
Abstract
Purpose: The measurement of cardiorespiratory fitness (maximal oxygen uptake) using a cardiopulmonary exercise test (CPET) has several applications in oncology. A recent analysis reported that in people with cancer, the vast majority of CPETs are discontinued before the attainment of a plateau in oxygen uptake (V̇O2) or secondary criteria. The objective of this study was to describe the attainment of a V̇O2 plateau and secondary criteria from CPET in a sample of people with cancer-related fatigue.Methods: This was a retrospective and exploratory analysis of data from 51 participants who completed a CPET as part of baseline testing for a clinical trial. The CPETs were conducted in a single laboratory by the same lead experimenter, using a cycle ergometer, standard ramp protocol and breath-by-breath gas analysis. The incidence of a V̇O2 plateau was compared for ∆V̇O2 of ≤150 ml·min-1 and a more conservative ∆V̇O2 of ≤50 ml·min-1. Independent groups dichotomized using the latter criterion were compared, including for the attainment of common secondary criteria for heart rate, rating of perceived exertion and the respiratory exchange ratio.Results: A plateau in V̇O2 was observed in 100% of tests using a criterion of ∆V̇O2 ≤150 mL·min-1, and this was reduced to 57% using a more conservative criterion of ∆V̇O2 ≤50 mL·min-1. There were no differences in the attainment of secondary criteria (or any other variable) between groups dichotomized using observation of a V̇O2 plateau.Conclusion: The validity of classic plateau criteria (∆V̇O2 ≤150 mL·min-1) to verify V̇O2max in people diagnosed with cancer is questionable (100% attainment in the present study, 57% attainment with a more conservative definition of a V̇O2 plateau). Comparing our data with previous reports, we suggest that exercising maximally to elicit V̇O2max may be more tolerable in this population using a standard ramp protocol, recumbent cycle ergometer and facemask.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".