ReviewOrthopadie (Heidelberg, Germany)2024
[The potential of wearable technology in knee arthroplasty].
Review in Orthopadie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Artificial intelligence and robotic technologies redefining precision and personalization in orthopedic surgery: a narrative review.Frontiers in bioengineering and biotechnology · 2026Review
- [Orthopaedics of the future : AI meets motion analysis: opportunities and risks].Orthopadie (Heidelberg, Germany) · 2025Review
- Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions.MedComm · 2025Review
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
backgroundWearable technology has developed rapidly in recent years and offers promising possibilities for supporting and optimizing orthopaedic procedures, especially pre- and postoperatively. The continuous monitoring and precise analysis of movement patterns, as well as the individual adaptation of rehabilitation processes are just some of the potential benefits of wearable technology. The aim of this paper is to evaluate the potential of wearable technology in knee arthroplasty and to provide an overview of the evidence that is currently available. MATERIAL AND
methodsThis overview is based on a literature search in Medline, Cochrane Library and Web of Science databases on the topic of wearables and knee arthroplasty.
resultsWearable technology enables precise and, above all, long-term and objective monitoring of knee joint movements and loads-regardless of the setting and environment in which the patient is located. So-called IMUs (inertial measurement units), which can record multidimensional directions of movement and speed, are most commonly used for movement analysis. Due to their small size and manageable costs, IMUs are suitable for movement monitoring in orthopaedics. In addition, continuous data acquisition through the corresponding development of algorithms allows early detection of complications and almost real-time adjustment of therapy. As wearables can also be used in the home setting, a combination with other telemedical and/or feedback applications is possible in the course of increasing ambulantization. Wearable technology has the potential to significantly improve pre- and post-operative care and rehabilitation in knee arthroplasty. Through the precise monitoring of movement patterns and the individual adjustment options, better or equivalent results could be achieved in the future compared to current standards. Despite the promising results so far, the current evidence is still limited and further clinical studies are needed to comprehensively assess the long-term effectiveness and cost-effectiveness of knee arthroplasty.
Indexed as
Identifiers
39340561What Socratic 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 Socratic graph.