Educational Attainment Affects the Early Rehabilitation of Total Knee Arthroplasty in Southwest China
Bibliographic record
Abstract
OBJECTIVE: To assess if the educational level of patients in Southwestern China will affect the functional recovery after total knee arthroplasty (TKA). METHODS: This retrospective study included a total of 334 patients (48 males, 286 females, with an average age of 68 years, range from 51 to 84 years) who had undergone primary unilateral TKA from March 2017 to April 2018. Patients were screened for enrollment and classified into four groups (illiterate group, the primary school group, high school group, and university group) according to their educational attainment. All patients were monitored for at least 2 years after TKA. The primary outcome was determined using the Hospital for Special Surgery knee (HSS) score at the time of follow-up. The secondary outcomes were determined using the 12-Item Short Form Health Survey (SF-12) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, the satisfaction level, and complications of the surgery. RESULTS: Three hundred and thirty-four patients were divided into four groups based on their highest educational level: 83 patients in the illiteracy group, 84 in the primary school group, 91 in the high school group, and 76 in the university group. They were followed up for at least 2 years. For the primary outcome, patients with high school and university education had noteworthy better HSS scores on the surgical-side knee than those in the primary school and illiterate groups (illiteracy group 86.71 ± 5.94 vs primary school group 85.36 ± 5.88 vs high school group 89.48 ± 3.66 vs university group 88.95 ± 3.55; P < 0.05). For secondary outcomes, the mental component summary (MCS) in the university group was significantly lower than the other three groups (P < 0.05). The results of WOMAC scores were consistent with the results of the HSS score: patients in the university group and the high school group had better results when compared with the other two groups (P < 0.05). There were no statistical differences in the comparison of additional indicators and complications among the four groups, but more patients (12 peoples, 15.8%) in the university group were dissatisfied with knee function after TKA. CONCLUSION: In Southwest China, patients with high school education or above can achieve better joint function after TKA but do not get better postoperative satisfaction, which may be related to the patients' higher surgical expectations for social and mental needs.
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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 | 0.001 | 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) | 0.001 | 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".