Abstract B61: Improvement of physical activity training in childhood acute lymphoblastic leukemia survivors: New specific equation to predict the peak oxygen uptake from the six-minute walk test
Bibliographic record
Abstract
Abstract Purpose: The six-minute walk test (6MWT) is the most widely used test to assess the functional capacity of cancer patients. However, it is reported that the actual equations cannot accurately predict oxygen uptake (VO2 value) or walk distance (6MWD) in cancer survivors. Because of the importance for clinicians and physiologists to have a validated VO2 or 6MWD equation from the 6MWT to observe the predicted survivors’ value, we focused on the validation of a standard and specific equation to predict VO2 peak and 6MWD. Methods: A total of 200 survivors were enrolled in this study, among whom 168 participants underwent a cardiopulmonary exercise test and a 6MWT. They also completed a physical activity questionnaire. Participants were randomly divided in two groups to predict the equations (n=118 (70%)) and to validate them (n=50 (30%)). Multiple linear regression analyses were used to determine a new prediction equation for VO2 peak and 6MWD from 6MWT. Bland and Altman methods were used to assess the accuracy. Results: Our findings showed that without specific variables in the VO2 peak equation, the mean bias was of 2.67 mL.kg-1.min-1 and of 2.51 mL.kg-1.min-1 with specific variables. We observed a better accuracy compared to previously published equations, which reported a mean bias of 12.09 mL.kg-1.min-1. The same results were observed for the 6MWD. Conclusion: This was the first study to predict VO2 peak and 6MWD using clinical and specific variables related to the disease. Every health care professional and exercise physiologist should use both our validated equations to provide a better adapted physical training. Our findings strengthen the need to evaluate survivors’ cardiorespiratory fitness in the care process. Citation Format: Maxime Caru, Jennifer Labonté, Valérie Lemay, Simon Drouin, Laurence Bertout, Gregor Andelfinger, Nathalie Alos, Maja Krajinovic, Caroline Laverdière, Daniel Sinnett, Daniel Curnier. Improvement of physical activity training in childhood acute lymphoblastic leukemia survivors: New specific equation to predict the peak oxygen uptake from the six-minute walk test [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B61.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".