Application and Measurement Properties of the Talk Test in Cardiopulmonary Patients: A Systematic Review
Bibliographic record
Abstract
Background: The talk test (TT) evaluates the exercise intensity by measuring speech comfort level during aerobic exercise. There are several application protocols available to assess individuals with cardiopulmonary diseases. However, the measurement properties of the TT were not systematically reviewed yet. Methods: A systematic review was developed, registered (CRD420181068930), and reported according to PRISMA Statement. Randomized clinical trials, cross-sectional studies, or series cases were identified through multiple databases and were selected if they presented concomitant speech provocation and an exercise test. Included studies were evaluated based on methodological quality (adapted New Castle-Ottawa Scale), descriptive quality (STROBE Statement), and risk of bias (COSMIN bias risk scale). Results: Ten studies were included. Seven studies presented moderate to high quality and the majority presented good scores according to the STROBE statement. Four hundred and fourteen subjects performed the TT, the majority being patients with coronary artery disease. The test validity was supported by the included studies. Talk Test reliability was considered satisfactory, although only one study presented an adequate reliability analysis. The studies found a correlation between the last positive stage of the TT with the first ventilatory threshold. Workload, oxygen uptake, and heart rate in the last positive stage of the TT were not different from the same parameters related to the first ventilatory threshold. Conclusions: The evidence indicates that the TT is suitable as an alternative tool for the assessment and prescription of exercise in individuals with cardiovascular diseases. The stage when the individual is still able to speak comfortably is suggested as the intensity for aerobic exercise prescription. As there is still no well-defined and fully explored TT protocol, caution is required when interpreting the TT results.
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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 | 0.030 | 0.137 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.011 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".