ReviewClinical and experimental dental research2025
Computer-Assisted Implant Surgery: Patients' Experience and Perspectives.
Review in Clinical and experimental dental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Robotic Computer-Assisted Dental Implant Surgery Versus Free-Hand and Guided Techniques: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Clinical and experimental dental research · 2026Pooled it
- Patient-Reported Healing of Static Computer-Assisted Sinus Lateral Window Osteotomy: A Randomized Controlled Trial.Clinical implant dentistry and related research · 2025Trial
- Understanding the Workflows in Non-Guided and Static Computer-Assisted Implant Surgery.Clinical and experimental dental research · 2026Review
- Oral and Maxillofacial Surgery: Current Updates and Perspectives.Journal of clinical medicine · 2026Article
- Static-Computer Assisted Implant Surgery: Where Are We Now?Australian dental journal · 2025Review
- Impact of Guided Implant Dentistry on Patient Quality of Life, Satisfaction, and Psychological Well-Being: A Systematic Review.Journal of clinical medicine · 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
7 authors.
Funding
Abstract
objectivesAlthough computer-assisted implant surgery (CAIS) has increased significantly the precision of dental implant placement, documentation of the impact of such technologies in the patient-reported experience and outcomes remains, however, limited. The aim of this white paper was to assess the impact of CAIS on key aspects of the patient experience, such as its potential benefits on (1) patients' understanding and engagement with implant surgery, (2) patient's confidence with treatment outcomes, (3) patients' preferences, (4) intra- and (5) Postoperative experience and (6) long-term patient-reported outcomes and oral health-related quality of life. MATERIAL AND
methodsA review of the literature compiled existing evidence from clinical studies up to November 2024, which was later discussed and synthesized with expert opinions and the best currently documented experience and practice.
resultsNo evidence was found that CAIS improves patient engagement or confidence with treatment outcomes, while comparative studies showed no difference in the intra- and postoperative experience when CAIS is used. Impact of the cost of CAIS procedures on patients perceptions and preferences has also not been explored, with the majority of studies significantly subsidizing patient costs, in particular randomized trials. At the same time, studies that compare interventions cannot assess the overall benefits of a complex workflow such as immediacy or minimally invasive approaches, to which CAIS is an essential part.
conclusionsResearch on patient outcomes with CAIS might not fully reflect the potential of these technologies when limited to the level of the surgical intervention. Major anticipated benefits of CAIS for the patient such as the potential to reduce complexity and facilitate faster, safer and more predictable execution of digitally designed treatments, could be better approached in the future by studies aimed at assessing patient-reported outcomes from entire treatment workflows.
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.