Prevalence of Diabetic Retinopathy in Indigenous and Non-Indigenous Australians: A Systematic Review and Meta-analysis.

TOPIC: This systematic review and meta-analysis summarizes evidence relating to the prevalence of diabetic retinopathy (DR) among Indigenous and non-Indigenous Australians. CLINICAL RELEVANCE: Indigenous Australians suffer disproportionately from diabetes-related complications. Exploring ethnic variation in disease is important for equitable distribution of resources and may lead to identification of ethnic-specific modifiable risk factors. Existing DR prevalence studies comparing Indigenous and non-Indigenous Australians have shown conflicting results. METHODS: This study was conducted following Joanna Briggs Institute guidance on systematic reviews of prevalence studies (PROSPERO ID: CRD42022259048). We performed searches of Medline (Ovid), EMBASE, and Web of Science until October 2021, using a strategy designed by an information specialist. We included studies reporting DR prevalence among diabetic patients in Indigenous and non-Indigenous Australian populations. Two independent reviewers performed quality assessments using a 9-item appraisal tool. Meta-analysis and meta-regression were performed using double arcsine transformation and a random-effects model comparing Indigenous and non-Indigenous subgroups. RESULTS: Fifteen studies with 8219 participants met criteria for inclusion. The Indigenous subgroup scored lower on the appraisal tool than the non-Indigenous subgroup (mean score 50% vs. 72%, P = 0.04). In the unadjusted meta-analysis, DR prevalence in the Indigenous subgroup (30.2%; 95% confidence interval [CI], 24.9-35.7) did not differ significantly (P = 0.17) from the non-Indigenous subgroup (23.7%; 95% CI, 16.8-31.4). After adjusting for age and quality, DR prevalence was higher in the Indigenous subgroup (P < 0.01), with prevalence ratio point estimates ranging from 1.72 to 2.58, depending on the meta-regression model. For the secondary outcomes, prevalence estimates were higher in the Indigenous subgroup for diabetic macular edema (DME) (8.7% vs. 2.7%, P = 0.02) and vision-threatening DR (VTDR) (8.6% vs. 3.0%, P = 0.03) but not for proliferative DR (2.5% vs. 0.8%, P = 0.07). CONCLUSIONS: Indigenous studies scored lower for methodological quality, raising the possibility that systematic differences in research practices may be leading to underestimation of disease burden. After adjusting for age and quality, we found a higher DR prevalence in the Indigenous subgroup. This contrasts with a previous review that reported the opposite finding of lower DR prevalence using unadjusted pooled estimates. Future epidemiological work exploring DR burden in Indigenous communities should aim to address methodological weaknesses identified by this review.

Analyzing the quality and educational value of Achilles tendinopathy-related videos on TikTok.

BACKGROUND: Social media platforms, like TikTok, have become popular options for the consumption and distribution of healthcare information. Due to the lack of scientific oversight, the consistency of healthcare-related videos has become a focus of the current literature. However, orthopaedic surgery has lagged behind other specialties in acknowledging the widespread utilization of TikTok videos for medical information. This study aims to assess the quality and educational benefits of Achilles tendinopathy-related TikTok videos. METHODS: TikTok was queried using the hashtags "#achillestendonexercises", "achillestendonitisexercises", "achillestendinosisexercises", and "achillestendinopathyexercises". 100 videos (25 for each term) were included after applying the exclusion criteria. The number of views, likes, shares, comments, and favorites was recorded. The content was graded using DISCERN (a well-validated informational analysis tool) and ATEES (a self-designed tool for exercise evaluation). RESULTS: The total number of views of the 100 videos was 1647,148, with a median of 7562.5 (IQR = 2,281- 19,575). The videos collectively received 73,765 likes, 1125 comments, 14,491 favorites and 6897 shares with a median of 283 (IQR= 73.8-957.8), 7 (IQR= 1.8-16.0), 61.5 (IQR= 8.8-184.3), and 18.5 (IQR= 2.0-49.8), respectively. General users uploaded slightly less (48%) when compared to healthcare professionals (52%). Healthcare professionals had more videos graded as "very poor" (43.4%) in comparison to the general users (36.2%). General users had more videos graded as "poor" (63.8%) in comparison to healthcare professionals (54.7%). However, there were no significant differences between the groups on either of the video grading scales. CONCLUSION: Although TikTok is a powerful tool for information distribution, the educational value of the videos related to Achilles tendinopathy exercises was poor. With only 1% of videos receiving a grade of 'fair,' and no videos reaching a score of 'good' or 'excellent', healthcare professionals should be aware of the high viewership of low-quality content easily accessible on TikTok.

Real-world evaluation of RetCAD deep-learning system for the detection of referable diabetic retinopathy and age-related macular degeneration.

CLINICAL RELEVANCE: The challenges of establishing retinal screening programs in rural settings may be mitigated by the emergence of deep-learning systems for early disease detection. BACKGROUND: Deep-learning systems have demonstrated promising results in retinal disease detection and may be particularly useful in rural settings where accessibility remains a barrier to equitable service provision. This study aims to evaluate the real-world performance of Thirona RetCAD for the detection of referable diabetic retinopathy and age-related macular degeneration in a rural Australian population. METHODS: Colour fundus images from participants with known diabetic retinopathy or age-related macular degeneration were randomly selected from ophthalmology clinics in four rural Australian centres. Grading was confirmed retrospectively by two retinal specialists. RetCAD produced a quantitative measure (0-100) for DR and AMD severity. The area under the ROC curve (AUC) was calculated. Sensitivity, specificity, and positive and negative predictive values were calculated at a pre-defined cut-point of ≥50. RESULTS: A total of 150 images from 82 participants were included. The mean age (SD) was 64.0 (12.8) years. Seventy-nine (52.7%) eyes had evidence of referable DR, while 54 (36.0%) had evidence of referable AMD. The AUC for referable DR detection was 0.971 (95% CI 0.950-0.936) with a sensitivity of 86.1% (76.8%-92.0%) and a specificity of 91.6% (82.8%-96.1%) at the pre-defined cut-point. Using the Youden Index method, the optimal cut-point was 41.2 (sensitivity 93.7%, specificity 90.1%). The AUC for the detection of referable AMD was 0.880 (0.824-0.936). At the pre-defined cut-point sensitivity was 88.9% (77.8%-94.8%) and specificity was 66.7% (56.8%-75.3%). The optimal cut-point was 52.6 (sensitivity 87.0%, specificity 75.0%). CONCLUSION: RetCAD is comparable with but does not outperform equivalent deep-learning systems for retinal disease detection. RetCAD may be suitable as an automated screening tool in a rural Australian setting.

Evaluating the Distribution, Quality, and Educational Value of Videos Related to Shoulder Instability Exercises on the Social Media Platform TikTok.

BACKGROUND: Because of the lack of scientific oversight, the quality, applicability, and consistency of healthcare-related TikTok videos have become a focus of research exploration. The orthopaedic surgery literature lags behind other medical fields in analyzing the widespread utilization of TikTok videos for medical information delivery. METHODS: TikTok was queried using the hashtag #shoulderstabilityexercises, and 109 videos were included. The videos were collected by two authors and independently evaluated using DISCERN (a well-validated informational analysis tool) and shoulder stability exercise education score (a self-designed tool for the evaluation of shoulder instability-related exercises). RESULTS: DISCERN scores of videos uploaded by general users had significantly lower scores in all four categories than those uploaded by healthcare professionals (P < 0.001, P = 0.005, P = 0.002, and P < 0.001). For the shoulder stability exercise education score, general users had a significantly lower score than the healthcare professionals at 3.36 and 4.91 on a 25-point scale, respectively (P = 0.034). General users had more videos graded as very poor (84.2%) in comparison to the number of videos uploaded by healthcare professionals deemed very poor (51.5%). However, the remainder of healthcare professionals had their videos graded as poor (48.5%). CONCLUSION: Despite slightly improved video quality from healthcare professionals, the overall educational of the videos related to shoulder instability exercises was poor.

A New Trend in Social Media and Medicine: The Poor Quality of Videos Related to Ankle Sprain Exercises on TikTok.

Background: Social media platforms, like TikTok, have become popular options for the distribution of health care information. Because of the lack of scientific oversight, the quality of health care-related videos has become a focus of the current literature. However, orthopaedic surgery has lagged behind other fields in acknowledging the widespread utilization of TikTok videos for medical information consumption. This study aims to assess the quality and educational benefits of ankle sprain-related TikTok videos. Methods: TikTok was queried using the hashtag "#anklesprainexercises." One hundred videos were included after applying the exclusion criteria. The number of views, likes, shares, comments, and favorites was recorded. The content was graded using DISCERN (a well-validated informational analysis tool) and ASEES (a self-designed tool for exercise evaluation). We hypothesized that information on TikTok related to ankle sprain exercises would be poor in quality. Results: The total number of views of the 100 videos was 6 483 412, with a median of 5377.5 (IQR = 1074-20 275). The videos collectively received 385 847 likes, 3642 comments, 55 574 favorites, and 14 918 shares with a median of 267.5 (IQR = 41.5-1678.0), 4.0 (IQR = 0.0-23.0), 42.0 (IQR = 4.8-264.5), and 13.0 (IQR = 1.8-67.8), respectively. General users had a higher percentage of their videos graded as "very poor" (61.8%) in comparison to the number of videos uploaded by health care professionals deemed "very poor" (34.4%). Neither general user nor health care professionals had videos graded as "good" or "excellent." There were significant differences between the 2 groups for DISCERN 1, 3, and ASSES scores. Conclusion: Although TikTok is a powerful tool for information distribution, the educational value of the videos related to ankle sprain injury exercises was poor. With only 2% of videos receiving a grade of "fair," and no videos reaching a score of "good" or "excellent," health care professionals should be aware of the low-quality content easily accessible on TikTok. Level of Evidence: Level III, cross-sectional study.