The relationship of pain severity with anxiety, depression, somatic symptoms, personality, and alexithymia in the early period after total knee arthroplasty
Bibliographic record
Abstract
Objectives: This study aims to investigate the relationship between pain severity in the early postoperative period and preoperative psychometric factors in individuals undergoing total knee arthroplasty (TKA). Methods: This research was designed as a cross-sectional and descriptive study. Fifty participants undergoing TKA were inpatients at a private hospital's Orthopedics and Traumatology Clinic were included in the study. The same anesthesia protocol (spinal anesthesia) and the same surgical technique were performed on all patients. In data collection, Visual Analogue Scale (VAS), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Somatic Amplification Scale (SAS), Toronto Alexithymia Scale (TAS), Eysenck Personality Questionnaire Revised-Abbreviated (EPQR-A), and Sociodemographic Data Form were used. Results:The mean age of the participants in the study was 64.80 ± 8.70 years, and 45 of the cases (90.0%) were women. Considering the Single Factor ANOVA Analysis, only psychoticism subscale scores were observed to be statistically significant in the change in VAS-Static scores. When all psychometric properties were controlled, the significant change in VAS-Dynamic scores was shown to continue at low effect. Conclusions: According to these findings, the psychoticism dimension was concluded to be more associated with an antisocial personality disorder or aggressive patients, and the high level of pain in these patients may be related to low levels of serotonin and cortisol from a neurobiological point of view.
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How this classification was reachedexpand
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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".