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Record W3127968965 · doi:10.1111/cid.12980

Accuracy evaluation of partially guided and fully guided templates applied to implant surgery of anterior teeth: A randomized controlled trial

2021· article· en· W3127968965 on OpenAlexvenueno aff
Fangzhi Lou, Pengcheng Rao, Maorui Zhang, Shi‐Hong Luo, Lu Shi, Jingang Xiao

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2021
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsCoronal planeImplantMedicineDentistryRandomized controlled trialAnterior teethOrthodonticsSurgery

Abstract

fetched live from OpenAlex

OBJECTIVES: To study the accuracy of partially guided and fully guided templates applied to implant surgery of anterior teeth. MATERIALS AND METHODS: Sixty patients who were scheduled to receive dental implant treatment in the anterior region were enrolled and randomly assigned to one of the following study groups (n = 20 each): routine implant-supported restoration treatment (control group, 30 implants), implant-supported restoration treatment using a partially guided template (test group 1, 36 implants), and implant-supported restoration treatment using a fully guided template (test group 2, 33 implants). The depth of implant was controlled for fully guided template. After implantation, planned implants and placed implants were superimposed using digital software, and the deviations (angular, coronal, apical, depth) were analyzed. Esthetic parameters were assessed at baseline, 6 months, and 1 year after the final restoration. Pink esthetic score (PES) and white esthetic score (WES) were respectively used to evaluate the soft tissue and restoration esthetic outcome. Each parameter of PES and WES is assessed with a 0-1-2 score with 2 being the best and 0 being the worst score. RESULTS: There were significant differences in all of the deviation parameters between the control group, test group 1, and test group 2 (p < 0.001). Mean angular, coronal, apical and depth deviations were all the highest in the control group (6.61 ± 1.09°, 1.05 ± 0.17 mm, 1.36 ± 0.13 mm, and 1.02 ± 0.13 mm, respectively), and lowest in test group 2 (2.05 ± 0.45°, 0.39 ± 0.12 mm, 0.28 ± 0.09 mm, and 0.24 ± 0.06 mm, respectively). At 1 year after the final restoration, the analysis revealed mean PES values of 7.09 ± 0.56 (control group), 8.39 ± 0.54 (test group 1), and 9.04 ± 0.35 (test group 2). The WES values were 7.24 ± 0.54 (control group), 8.47 ± 0.44 (test group 1), and 8.97 ± 0.38 (test group 2). At all examinations, the mean PES and WES values were both the highest in test group 2 and lowest in the control group. The PES and WES values recorded in the control group at baseline, 6 months, and 1 year after final restoration were significantly lower than those in test groups (p < 0.001). Moreover, the PES and WES values recorded in the test group 1 at baseline, 6 months, and 1 year after final restoration were significantly lower than those in test group 2 (p < 0.05). CONCLUSIONS: Digital surgical guides can improve the accuracy of the three-dimensional position of implants in the maxillary esthetic zone, the fully guided template has higher precision than that of the partially guided template, and plays an important role in obtaining the ideal esthetic outcome for maxillary anterior teeth.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.221
GPT teacher head0.508
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

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Citations47
Published2021
Admission routes1
Has abstractyes

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