An Analysis of the Use of the Kellgren and Lawrence Grading System to Evaluate Peritalar Arthritis Following Total Ankle Arthroplasty
Bibliographic record
Abstract
BACKGROUND: The Kellgren and Lawrence grading system (KLGS) has been used throughout the literature for the radiographic staging of osteoarthritis (OA) of the peritalar joints. Despite its widespread use, the KLGS has never been validated for use in this clinical circumstance. The purpose of this study was to determine the inter- and intrarater reliability of the KLGS in the assessment of radiographic progression of OA in the peritalar joints following total ankle replacement (TAR). METHODS: One hundred twenty pre- and minimum 5-year postoperative weight-bearing lateral radiographs following 60 consecutive cases of TAR were utilized. Each individual film was considered separately for the purposes of this study. Of those films, 93 and 98 were found to have adequate visualization of the subtalar (STJ) and talonavicular (TNJ) joints, respectively. Three qualified reviewers graded the films according to the KLGS on 2 separate occasions, with 1 month separating the 2 readings. The results were analyzed for intra- and interobserver reliability. The degree of agreement was analyzed using the weighted kappa (κ(w)) statistic, Fleiss's kappa (Fleiss's κ), and percentage agreement RESULTS: Interrater agreements were moderate (κ(w) = 0.37 ± 0.06; Fleiss's κ = 0.21 ± 0.03) for the STJ to fair (κ(w) = 0.43 ± 0.06; Fleiss's κ = 0.25 ± 0.03) for the TNJ. Intrarater agreements for the STJ were moderate (mean κ(w) = 0.43 ± 0.07) and moderate for the TNJ as well (mean κ(w) = 0.46 ± 0.07). The reliability of the KLGS, although not originally designed for use in the setting of inflammatory arthropathy, was not notably affected when being used to grade inflammatory versus noninflammatory arthropathy. CONCLUSIONS: The KLGS is likely not a reliable tool for grading the degree of OA present in the peritalar joints prior to treatment and following TAR for research purposes. Using the KLGS in the setting of inflammatory arthritis versus OA did not produce any notable differences in the observed reliability. It is important to remember this has not been assessed in the clinical environment. Further work is required to determine the optimal method for assessment of peritalar OA. LEVEL OF EVIDENCE: Level II, prospective comparative study.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".