Which is the better choice? A clinical cohort study protocol evaluating the differences between standard medial parapatellar and minimally invasive approaches in total knee replacement
Bibliographic record
Abstract
BACKGROUND: There is still a lack of consensus on the best approach for total knee replacement (TKR). We carried out this present retrospective cohort study to assess the overall safety and effectiveness of a minimally invasive approach without the use of computer navigation in comparison with conventional TKR. METHODS: A retrospective review of patients who receiving the primary TKR in the same institution from 2014 to 2016 was conducted. The inclusion criteria for the study indicated that the patient required a unilateral or bilateral TKR was between 18 and 80 years' old, provided informed consent, was followed up for at least 2 years, and was in stable health. There was no treatment for any condition or condition that might pose a risk of excessive surgery. The same TKR standard rehabilitation program was provided to all patients. Data were collected on patient demographics, anesthesia style, American Society of Anesthesiology scores, tourniquet duration, and surgical drainage loss. Our primary outcome measure was discharge time. Secondary outcomes included duration of surgery, incidence of postoperative complications, imaging location 6 weeks after surgery, Oxford Knee Score, Western Ontario and McMaster Universities Arthritis Index, and knee ROM. Complications were recorded and classified as surgical site, thromboembolic, systemic, or requiring reoperation. RESULTS: It was assumed that there is a remarkable difference in postoperative outcomes between the 2 groups. CONCLUSION: The limitations of our present research include the inherent limitations in any retrospective cohort research, including the observation bias and possibility of selection. TRIAL REGISTRATION: This study protocol was registered in Research Registry (researchregistry6349).
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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 | 0.034 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".