Efectividad de un programa de ejercicios isométricos de hombro con feedback visual en jugadoras de waterpolo con tendinopatía del manguito rotador: serie de casos
Bibliographic record
Abstract
Aim. The aim of the present study is assess the efficacy of a program of isometric shoulder exercises with visual feedback in waterpolo players with rotator cuff tendinopathy. Methodology. A 4 week intervention of isometric exercises was carried out by 3 athletes with rotator cuff tendinopathy, performing an initial and final assessment. The pain were measured by Visual analogue Scale (VAS) on three differents moments. The quality of life was measured by Western Ontario Rotator Cuff (WORC). The active articular balance was measured by an universal goniometer and the throw speed measured by a radar gun. Results. The results show us a pain reduction of 1,67 cm on VAS scale during the training. Respecting to the quality of life an improvement of 6,66%, 13,53% and 6,1% respectively was observed in the WORC questionnaire. As regards the active articular balance, we can see an increase about the internal shoulder rotation. The throw speed was increased 3,6 km/h, 3 km/h and 2,2 km/7h respectively. Conclusion. The isometric exercise program with visual feedback provided a pain reduction. In addition it contributed an improvement of quality life as well as an increase in the internal shoulder rotation and speed throw. It would be interesting to purpose this study with a longer period of time and larger simple size in order to observe the long-term benefits and get a solid evidence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".