ArticleBone & joint open2020
Arthroplasty information on the internet: quality or quantity?
Article in Bone & joint open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
5 citing papers in PubMed.
- High patient and surgeon satisfaction with ChatGPT-generated responses to real patient questions regarding total knee arthroplasty.Journal of orthopaedic surgery and research · 2025Article
- ChatGPT May Offer an Adequate Substitute for Informed Consent to Patients Prior to Total Knee Arthroplasty-Yet Caution Is Needed.Journal of personalized medicine · 2024Article
- Quality Assessment of Hypertension Treatment-Related Information on WeChat: Cross-sectional Study.Journal of medical Internet research · 2022Article
- High tibial osteotomy: A review of the readability and quality of patient information on the internet.Health promotion perspectives · 2021Article
- Quality assessment of temporomandibular disorders-related information on Chinese social media: A cross-sectional study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTotal joint replacement (TJR) is a high-cost, high-volume procedure that impacts patients' quality of life. Informed decisions are important for patients facing TJR. The quality of information provided by websites regarding TJR is highly variable. We aimed to measure the quality of TJR information online.
methodsWe identified 10,800 websites using 18 TJR-related keywords (conditions and procedures) across the Australian, French, German and Spanish Google search engines. We used the Health on the Net (HON) toolbar to evaluate the first 150 websites downloaded for every keyword in each language. The quality of information on websites was inspected, accounting for differences by language and tertiles. We also undertook an analysis of English websites to explore types of website providers.
results'Total joint replacement' had the most results returned (150 million websites), and 9% of websites are HON-accredited. Differences in information quality were seen across search terms (p < 0.001) and tertiles (p < 0.001), but not between languages (p = 0.226). A larger proportion of HON-accredited websites were seen from keywords in the condition and arthroplasty categories. The first tertile contained the highest number of HON-accredited websites for the majority of search terms. Government/educational bodies sponsored the majority of websites.
conclusionClinicians must consider the shortage of websites providing validated information, with disparities in both number and quality of websites for TJR conditions and procedures. As such, the challenge for clinicians is to lead the design of reliable, accurate and ethical orthopaedic websites online and direct patients to them. This stands to reward both parties greatly.
Indexed as
Identifiers
What OpenQuestion holds
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.