Dolor, rigidez y capacidad funcional asociados a la kinesiofobia en pacientes con artrosis de rodilla, Hospital Nacional Hipólito Unanue (Perú)
Bibliographic record
Abstract
Introduction: The progressive and chronic characteristics of knee osteoarthritis imply the presence of symptoms, such as pain, stiffness, and functional capacity difficulty to varying degrees. However, associated psychosocial phenomena, such as kinesiophobia, may also arise, impeding the patient’s recovery. The aim of this study is to determine the association among pain, stiffness, functional capacity, and kinesiophobia in patients with knee osteoarthritis at Hospital Nacional Hipolito Unanue, Peru, in the first two months of 2020. Materials and methods: An observational, correlational, cross-sectiona study was conducted on 88 patients with knee osteoarthritis who were selected by census sampling. The Western Ontario and McMaster Universities Osteoarthritis Index questionnaire and the Tampa Scale for Kinesiophobia were used to measure pain, stiffness, functional capacity and kinesiophobia, respectively. Pearson’s chi-square test (p < 0.01) was used for bivariate analysis. Results: The results showed a mean age of 66.38 years and a higher frequency in the female sex (68.2 %), current occupation without physical workload (56.8 %), secondary level education (40.9%), time of illness of 1–5 years (51.1 %), bilateral lower limb involvement (68.18 %), moderate pain (51.1 %), moderate stiffness (51.1 %), functional capacity difficulties (61.4 %), and a high level of kinesiophobia (60.2 %). A relationship was found between the variables of pain, stiffness, and functional capacity associated with kinesiophobia (0.000). Conclusions: Pain, stiffness, and functional capacity are associated with kinesiophobia in patients with knee osteoarthritis. The degree of symptomatology increases with the increasing level of kinesiophobia.
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.
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) | 0.000 | 0.000 |
| 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) | 0.002 | 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".