Baduanjin exercise for patients with knee osteoarthritis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Knee osteoarthritis (KOA) is a common chronic degenerative disorder with an increasingly prevalence among the older individuals and the leading cause of pain in the elderly. Baduanjin, one of the ancient traditional Chinese mind-body exercise routine, has been recognized to have clinical benefits for KOA. We aim to evaluate the efficacy and safety of Baduanjin for patients with KOA through this systematic review and meta-analysis. METHODS: Four English databases (Cochrane Central Register of Controlled Trials, PubMed, EMBASE, and Web of Science), and 4 Chinese databases (China National Knowledge Infrastructure, Chinese Biomedical Literature Database, Chinese Scientific Journal Database, and Wanfang Database), will be searched from establishment of the database until October 2020. The reference lists and the citation lists of studies meeting the inclusion criteria will also be searched to identify further studies for inclusion. The search languages are English and Chinese. The randomized controlled trials of Baduanjin training for patients with KOA will be included. The primary outcome will be assessed according to the Western Ontario and McMaster Universities Osteoarthritis Index. Meta-analysis will be conducted with the use of RevMan 5.3. RESULTS: The results of this research will be submitted to a peer-reviewed publications. CONCLUSION: This systematic review aims to present evidence for whether Baduanjin training is an effective intervention which can improve both physical condition and life quality in patients suffering KOA. INPLASY REGISTRATION NUMBER: INPLASY202090051.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it