Pain syndrome in women with osteoarthritis against the background of overweight and hypothyroidism
Bibliographic record
Abstract
Objective. To evaluate pain syndrome and its relationship with clinical, laboratory and functional changes in women with osteoarthritis (OA) due to overweight and hypothyroidism. Materials and methods. 43 women diagnosed with OA, with a body mass index (BMI) ≥ 27 kg/m2 aged from 40 to 65 were included in the study. The patients were divided into 2 groups depending on the thyroid gland function: group 1 contained 18 patients with primary medically compensated hypothyroidism, group 2 consisted of 25 patients without thyroid gland disorders. A physical, laboratory and instrumental examination with the assessment of thyroid status (TSH, free T4, free T3) was carried out in all the patients. Indicators of phosphorus-calcium metabolism: total calcium, ionized calcium, phosphorus, parathyroid hormone, b-crosslaps were also taken into account, as well as indicators of nonspecific inflammation: C-reactive protein (CRP), Сomplete Blood Count (CBC). The presence of OA and its severity were confirmed by the radiography of the affected joints in 2 projections. The severity of pain was determined using the visual analogue pain scale (VAS), the algofunctional Lequesne index, and with the help of the McGill questionnaire. Statistical processing was carried out by the integrated package for statistical analysis “Statistica 10”. Results. The study revealed severe pain syndrome according to the VAS scale, the Lequesne algofunctional index and the McGill questionnaire in patients of both groups. However, pain scale scores were higher in women with compensated hypothyroidism and correlated with markers of a nonspecific inflammation, as well as with the duration of hypothyroidism, which proves that the effect of thyroid function disorders on the severity of clinical and functional changes in OA is significant. Conclusions. Despite of drug compensation for hypothyroidism, patients with osteoarthritis and overweight have more pronounced clinical, laboratory and functional changes in the form of increased intensity of pain syndrome and decreased pain sensitivity threshold.
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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) | 0.000 | 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".