Is there an association between plantar fasciitis and knee osteoarthritis?
Bibliographic record
Abstract
BACKGROUND: Knee osteoarthritis (OA) and plantar fasciitis share similar risk factors including ageing, occupation, obesity, and inappropriate shoe wear. However, the association between knee OA and heel pain caused by plantar fasciitis has received limited attention to date. AIM: We aimed to assess the prevalence of plantar fasciitis using ultrasound in patients with knee OA and to identify factors associated with plantar fasciitis in these patients. PATIENTS AND METHODS: We conducted a cross-sectional study including patients with Knee OA, fulfiling the European League Against Rheumatism criteria. The Western Ontario and McMaster Universities Osteoarthritis (WOMAC) and the Lequesne indexes were used to evaluate pain and function of the knees. The Manchester Foot Pain and Disability Index (MFPDI) was used to estimate foot pain and disability. Each patient underwent a physical examination, plain radiographs of the knees and the heels, and an ultrasound examination of both heels to find signs of plantar fasciitis. Statistical analysis was performed using SPSS. RESULTS: We included 40 knee OA patients, with a mean age of 59.85 ± 9.65 years [32-74] and a male-to-female ratio of 0.17. The mean WOMAC was 34.03 ± 19.9 [4-75]. The mean Lequesne for knees was 9.62 ± 4.57 [3-16.5]. Among our patients, 52% (n = 21) experienced heel pain. The heel pain was severe in 19% (n = 4). The mean MFPDI was 4.67 ± 4.16 [0-8]. Limited ankle dorsiflexion and plantar flexion were noted in 47% of patients (n = 17) each. High and low arch deformities were seen in 23% (n = 9) and 40% (n = 16) of patients. Ultrasound revealed a thickened plantar fascia in 62% (n = 25). An abnormal hypoechoic plantar fascia was noted in 47% (n = 19), with the loss of normal fibrillar architecture in 12 cases (30%). No Doppler signal was exhibited. Patients with plantar fasciitis had significantly limited dorsiflexion (n = 2 (13%) versus n = 15 (60%), p = 0.004) and plantar flexion (n = 3 (20%) versus n = 14 (56%), p = 0.026). The range of supination was also less important in the plantar fasciitis group (17.73 ± 4.1 vs. 12.8 ± 6.46, p = 0.027). The low arch was statistically more present in patients with plantar fasciitis (G1: 36% [n = 9] vs. G0: 0% [n = 0], p = 0.015). However, the high arch deformity was statistically more present in patients without plantar fasciitis (G1: 28% [n = 7] vs. G0: 60% [n = 9], p = 0.046). Multivariate analysis showed that the risk factor for plantar fasciitis in knee OA patients was limited dorsiflexion (OR = 3.889, 95% CI [0.017-0.987], p = 0.049). CONCLUSION: In conclusion, our work showed that plantar fasciitis is frequent in knee OA patients, with reduced ankle dorsiflexion being the main risk factor for plantar fasciitis in these patients.
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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".