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Record W4414660945 · doi:10.3390/medicina61101769

Soft and Hard Tissue Grafting in Immediate Implant Therapy: A Narrative Review

2025· review· en· W4414660945 on OpenAlexaff
Carlos A. Jurado, Fábio Andretti, Gerardo Guzman‐Perez, Márk Antal, Silvia Rojas‐Rueda, Franciele Floriani, Kelvin I. Afrashtehfar, Nicholas G. Fischer

Bibliographic record

VenueMedicina · 2025
Typereview
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutions3v Geomatics (Canada)
Fundersnot available
KeywordsNarrative reviewGraftingImplantSoft tissueBone graftingHard tissue

Abstract

fetched live from OpenAlex

Background and Objectives: Immediate implant placement in the esthetic zone presents challenges in maintaining peri-implant tissues due to post-extraction remodeling. Bone grafting has been proposed to support tissue preservation and improve esthetic outcomes. This article reviews the role of grafting in clinical studies and case reports. Materials and Methods: A literature search on PubMed and Google Scholar identified studies focusing on immediate implant placement with grafting. The search strategy included articles from 2012 to 2025, in English, from peer-reviewed journals. Results: Implant survival is possible without grafting in ideal cases, but grafting is often essential in patients with thin biotypes or esthetic demands. Technique and material selection are critical. The socket shield technique shows promise in preserving buccal tissues despite its complexity. Case reports demonstrated stable soft tissues and favorable esthetic outcomes. Conclusions: Grafting should be tailored to the clinical situation. While not always necessary, it is often crucial in compromised sites to ensure long-term esthetic success. Current literature supports predictable outcomes with appropriate grafting protocols.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.909
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.397
Teacher spread0.349 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations2
Published2025
Admission routes1
Has abstractyes

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