Static computer‐aided implant surgery ( <scp>s‐CAIS</scp> ) analysing patient‐reported outcome measures (PROMs), economics and surgical complications: A systematic review
Bibliographic record
Abstract
OBJECTIVE: To systematically evaluate the scientific literature for patient-reported outcome measures (PROMs) in static computer-aided implant surgery (s-CAIS). METHODS: A PICO strategy was executed using an electronic (MEDLINE, EMBASE, CENTRAL), plus manual search up to 15-06-2017 focusing on clinical studies investigating s-CAIS with regard to patients' pain & discomfort, economics and/or intra-operative complications. Search strategy was assembled from multiple conjunctions of MeSH Terms and unspecific free-text words. Assessment of risk of bias in selected studies was made at a "trial level" applying the Cochrane Collaboration Tool and the Newcastle-Ottawa Assessment Scale, respectively. RESULTS: The systematic search identified 112 titles. Seventy abstracts were screened, and 14 full texts were included for analysis. A total of 484 patients were treated with s-CAIS for placement of 2,510 implants. Due to the heterogeneity of the included studies, meta-analyses could not be performed. CONCLUSIONS: The number of identified studies investigating s-CAIS for PROMs was low. Scientifically proven recommendations for clinical routine cannot be given at this time; however, the number of clinical complications with s-CAIS seems to be negligible and comparable to conventional implant surgery. s-CAIS may offer a beneficial treatment option in edentulous cases if a flapless approach is applicable. Nevertheless, the economic effects in terms of time efficiency and treatment costs are unclear. Clinical investigations with well-designed RCTs investigating PROMs with standardized parameters are compellingly necessary for the field of s-CAIS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".