ArticleCureus2022
The Quality of Online Information for the Treatment of Knee Osteoarthritis: A Google Study.
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Article
- Artificial Intelligence Can Direct Patients Toward a Complaint-specific Musculoskeletal Provider.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Article
- Assessing the Readability and Quality of Web-Based Resources on Exercise Stress Testing: Cross-Sectional Readability and Quality Analysis.JMIR formative research · 2025Article
- Article
- A cross-sectional quantitative analysis of the readability and quality of online resources regarding thumb carpometacarpal joint replacement surgery.Journal of hand and microsurgery · 2024Article
- A Cross-Sectional Analysis of the Readability of Online Information Regarding Hip Osteoarthritis.Cureus · 2024Article
- Effectiveness of a Web-Guided Self-Managed Telerehabilitation Program Enhanced with Outdoor Physical Activity on Physical Function, Physical Activity Levels and Pain in Patients with Knee Osteoarthritis: A Randomized Controlled Trial.Journal of clinical medicine · 2024Article
- Analyzing the Quality and Readability of Online Hyaluronic Acid Knee Injection Resources.Cureus · 2023Article
- Quality and reliability of rectal prolapse short-video content on tiktok and bilibili: A cross-sectional content analysis.Digital healthArticle
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Affecting more than 30 million adults annually, osteoarthritis (OA) is the most common joint disorder in the United States. A variety of management options for knee OA exists, including physical therapy, weight loss, intra-articular corticosteroid injections, and total joint arthroplasty. With many treatments available, patients often utilize the internet to educate themselves about their condition and management options. The purpose of this study was to evaluate the quality, transparency, and readability of online information for the treatment of knee OA. Methods The search terms "knee," "arthritis," and "treatment" were entered into an incognito mode Google browser. Websites were classified by type (commercial, academic, nonacademic medical practice, government/patient advocacy, and other) and graded on content quality, transparency, and readability using the following scores, respectively: modified DISCERN, Journal of American Medical Association (JAMA) Benchmark, and Flesch-Kincaid (FK) grade level. Results Of the 95 websites evaluated, commercial (mean, 38.2) and academic (37.3) sites had the highest total DISCERN scores, which were significantly greater than nonacademic medical practice (31.8) and government/patient advocacy sites (33.4) (p≤0.035). Nonacademic medical practice sites had the lowest mean total DISCERN (31.8) and JAMA (1.47) scores and the highest FK grade level readability (9.5). There was a significant positive correlation between mean total DISCERN and JAMA scores (r=0.46, p<0.001). Conclusion The mean overall quality of websites regarding the treatment of OA was good as evidenced by greater modified DISCERN scores. However, website quality ranged from poor to excellent, indicating that some websites are still missing key information patients may find useful when assessing treatment options online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.