ArticleCanadian journal of surgery. Journal canadien de chirurgie
Perspectives surrounding robotic total hip arthroplasty: a cross-sectional analysis using natural language processing.
Article in Canadian journal of surgery. Journal canadien de chirurgie. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Perceptions of robot-assisted arthroplasty among patients and the public : a scoping review.Bone & joint open · 2026Pooled it
- Social Media Discussions About Robotic Total Knee Arthroplasty: Cross-Sectional Analysis.JMIR infodemiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRobotic technology has been used in total hip arthroplasty (THA) for several years. Despite the advances in this field, perspectives surrounding robotic THA are not fully understood. This study aimed to characterize the landscape of robotic THA on social media.
methodsThe Twitter application programming interface was queried from inception to October 2022 for keywords related to THA and robotics. Posts and accounts were extracted and classified using thematic labels. Sentiment analysis was performed on the extracted tweets.
resultsAfter removal of duplicate posts and illegitimate accounts, a total of 742 tweets from 741 accounts were retrieved. Most posts pertained to raising awareness about robotic THA (
conclusionTopics about robotic THA were discussed in a positive tone on Twitter (rebranded to X in 2023). Posts about raising awareness and advertisements for robotic THA were most prevalent, while research-related posts were limited. Orthopedic surgeons can leverage social media to better understand patient perspectives and glean insight from the robotic surgery industry. CONTEXTE: La robotique est utilisée depuis plusieurs années pour l'arthroplastie totale de la hanche (ATH). Malgré les progrès réalisés dans ce domaine, on connaît encore mal l'opinion qu'elle suscite. La présente étude visait à dresser un tableau de l'ATH robotisée telle qu'on l'aborde sur les réseaux sociaux. MÉTHODES: L'interface de programmation d'application de Twitter a été analysée depuis sa création et jusqu'à octobre 2022 à partir de mots clés reliés à l'ATH et à la robotique. Les messages et les comptes ont été extraits et classés par thèmes et une analyse des sentiments a été effectuée à partir de ces messages. RÉSULTATS: Après élimination des doublons et des faux comptes, nous avons retenu en tout 742 messages provenant de 741 comptes. La plupart visaient à faire connaître l'ATH assistée par robot (
conclusionLes thèmes entourant l'ATH assistée par robot ont fait l'objet de discussions favorables sur Twitter (devenu X en 2023). Les messages visant à en faire connaître l'existence ou à en faire la publicité étaient les plus nombreux, tandis que les messages portant sur la recherche étaient limités. Les orthopédistes peuvent mettre les médias sociaux à profit pour mieux comprendre le point de vue des malades et prendre le pouls de l'industrie.
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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.