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INTRODUCTION: Plicae or synovial folds can be detected in different joints, especially around the knee. Synovial plicae pathologies are rare conditions with difficulty in diagnosis because of various symptoms overlapping with other diseases. PRESENTATION OF CASE: We reported a rare case of symptomatic hypertrophic synovial plica in the lateral side of the knee in a 12-year-old boy following a traumatic event almost two years before the surgery. The diagnosis and treatment were conducted by knee arthroscopy, and follow-up of the patients showed significant improvements with no pain or range of motion restrictions. DISCUSSION: The reported case had a significantly lower age of presentations compared to most previously reported cases, and he was diagnosed with lateral knee hypertrophic plicae, while medial knee hypertrophic plicae are more commonly reported, which is considered rare findings. Contrary to previous studies of lateral plica, our case had a history of significant direct trauma, and he was not a professional athlete. Furthermore, based on evidence, hypertrophic synovial plicae are mostly asymptomatic, but in our case, there was a pain in his knee that worsened in flexion. CONCLUSION: Physicians should consider the possibility of synovial hypertrophic plicae, especially in younger patients with histories of direct traumatic events.
RESUMEN
Autism spectrum disorder (ASD) represents a panel of conditions that begin during the developmental period and result in impairments of personal, social, academic, or occupational functioning. Early diagnosis is directly related to a better prognosis. Unfortunately, the diagnosis of ASD requires a long and exhausting subjective process. We aimed to review the state of the art for automated autism diagnosis and recognition in this research. In February 2022, we searched multiple databases and sources of gray literature for eligible studies. We used an adapted version of the QUADAS-2 tool to assess the risk of bias in the studies. A brief report of the methods and results of each study is presented. Data were synthesized for each modality separately using the Split Component Synthesis (SCS) method. We assessed heterogeneity using the I 2 statistics and evaluated publication bias using trim and fill tests combined with ln DOR. Confidence in cumulative evidence was assessed using the GRADE approach for diagnostic studies. We included 344 studies from 186,020 participants (51,129 are estimated to be unique) for nine different modalities in this review, from which 232 reported sufficient data for meta-analysis. The area under the curve was in the range of 0.71-0.90 for all the modalities. The studies on EEG data provided the best accuracy, with the area under the curve ranging between 0.85 and 0.93. We found that the literature is rife with bias and methodological/reporting flaws. Recommendations are provided for future research to provide better studies and fill in the current knowledge gaps.