Is anterior knee pain following anterior cruciate ligament reconstruction a consideration for graft choice, and the influence of COVID: a qualitative analysis in recreational athletes
Bibliographic record
Abstract
BACKGROUND: We set out to investigate whether anterior knee pain following anterior cruciate ligament reconstruction has a significant effect on patients, and whether it should influence graft choice. METHODS: This was a qualitative analysis of a set of recreational athletes treated at a university hospital at about 1 year following anterior cruciate ligament reconstruction surgery. Participants were interviewed by an orthopaedic fellow and resident using structured, open-ended questions. Inductive theme analysis was used to code the data. RESULTS: There were 4 major themes: (1) Our hypothesis was that patients would be given adequate information to make an appropriate graft choice. This hypothesis was rejected. Discussion took place, but with little details or rationale for the graft choice. The predominant theme was that the surgeon made the decision, and there was a lack of reliable information for the patient to make a choice. (2) The overall theme was that most patients had no anterior knee pain, and it did not interfere with activities of daily living. (3) One theme was that patients were able to resume all sports without restriction, but in some, the anterior knee pain interfered with the more demanding activities such as impact, cutting, and pivoting. A separate theme was that fear was a major impediment to return to sports and was not related to the anterior knee pain. (4) The overriding theme was that the generalized closures associated with the COVID-19 pandemic slowed the rehabilitation process. Although virtual care was available in general, it was not particularly satisfactory. Patients indicated that they had not been able to return to the gym or to their sporting activities as a result. CONCLUSIONS: Amongst non-competitive athletes, anterior knee pain post-anterior cruciate ligament reconstruction surgery does not significantly affect activities of daily living. Although there is a minor effect on sporting activities, the inability to return to sports is related to factors such as the COVID-19 pandemic, fear, or insufficient rehabilitation, rather than anterior knee pain. Overall, anterior knee pain is not a significant factor that plays a role in determining graft choice.
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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 | 0.017 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".