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Record W2971330950 · doi:10.1111/cid.12843

A one‐year prospective study on alveolar ridge preservation using collagen‐enriched deproteinized bovine bone mineral and saddle connective tissue graft: A cone beam computed tomography analysis

2019· article· en· W2971330950 on OpenAlexvenueno aff
Lorenz Seyssens, Aryan Eghbali, Véronique Christiaens, Thomas De Bruyckere, Ron Doornewaard, Jan Cosyn

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2019
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsSoft tissueAlveolar ridgeMedicineDental alveolusConnective tissueDentistryResorptionMaterials scienceBiomedical engineeringSurgeryPathologyImplant

Abstract

fetched live from OpenAlex

BACKGROUND: Although there is ample research on alveolar ridge preservation (ARP), changes of the soft tissue profile are seldom reported. In addition, the use of a saddle connective tissue graft (S-CTG) has only been described in one study. PURPOSE: To evaluate changes in bone and external soft tissue profile following ARP of intact and nonintact sockets using collagen-enriched deproteinized bovine bone mineral (C-DBBM) and a S-CTG (a); to assess the need for additional hard and soft tissue grafting after ARP (b). MATERIALS AND METHODS: Patients in need of a single or multiple unit fixed reconstruction in the premaxilla were included in this prospective case series. After tooth extraction, sockets were grafted with C-DBBM and sealed with a S-CTG. Cone beam computed tomography slides taken before tooth extraction and 4 to 6 months after ARP were superimposed to measure changes in bone dimensions and external soft tissue profile. The need for additional hard and soft tissue grafting was registered. Implants were evaluated at 1 year. Patient-reported outcomes were registered on a 100 mm visual analogue scale at suture removal and 1 year following ARP. RESULTS: Nineteen teeth (10 with intact sockets, 9 with nonintact sockets) in 14 patients (11 females; mean age 34) were extracted and treated with the abovementioned protocol. Volume loss could not be prevented and mainly occurred at the buccal aspect. Maximum horizontal bone resorption was 1.27 mm and maximum horizontal shrinkage of the soft tissue profile amounted to 0.87 mm, both at the most cervical aspect. Additional GBR was necessary in two sites with a nonintact buccal bone wall. The need for additional soft tissue grafting was moderate in sites with intact (3/10) and high in nonintact sockets (6/9). Implants demonstrated favorable clinical and esthetic outcomes. Pain intensity and patient satisfaction were 17 and 94, respectively. CONCLUSION: Alveolar ridge preservation was not able to prevent relevant tissue changes. However, implants could be installed as planned. Although the application of a S-CTG partly compensated for the buccal bone loss, the need for additional soft tissue grafting was still moderate in intact sockets and high in nonintact sockets.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.098
GPT teacher head0.428
Teacher spread0.330 · 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 designObservational
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".

Quick stats

Citations27
Published2019
Admission routes1
Has abstractyes

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