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Record W4410234605 · doi:10.1111/cid.70007

Indications and Regenerative Techniques for Lateral Window Sinus Floor Elevation With Ridge Augmentation

2025· review· en· W4410234605 on OpenAlexvenueno aff
Riccardo Scaini, Muhammad H. A. Saleh, Hongchang Lai, Matteo Sangiorgi, Giovanni Zucchelli, Tiziano Testori

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2025
Typereview
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMaxillary sinusDentistrySinus (botany)SinusitisOtorhinolaryngologyMaxillaSurgery

Abstract

fetched live from OpenAlex

Maxillary sinus elevation is a critical procedure in dental implantology, often necessary to address bone deficiencies in the posterior maxilla. However, various medical conditions, local factors, and surgical complexities can significantly influence the outcomes. This article delves into the implications of systemic conditions such as smoking, diabetes, osteoporosis, antiresorptive and antiangiogenic medications, radiotherapy, immunocompromised states, cardiovascular diseases, chronic alcoholism, and oxidative stress on sinus floor elevation and associated dental implant placements. Each condition presents unique challenges and necessitates tailored clinical considerations to mitigate risks and enhance surgical success. A comprehensive pre-operative assessment is essential, including detailed patient history and radiographic evaluation. Local conditions affecting the maxillary sinus, such as sinusitis, require careful examination and possible otolaryngologist consultation. The article discusses a standardized Digital Surgical Planning (DSP) protocol involving CBCT imaging, intraoral scans, virtual diagnostic wax-ups, and guided implant placement to optimize surgical planning and outcomes. Surgical techniques for lateral window antrostomy are examined, including flap design, window size and location, and piezoelectric and rotary instrumentation. Subsequent regenerative procedures involve meticulous membrane elevation and particulate graft placement, with considerations for graft material and technique to ensure stability and volume retention. Post-operative care, encompassing antibiotic prophylaxis, corticosteroid use, and decongestants, is outlined to prevent infections and manage edema. Conclusively, the article stresses the necessity for implantologists to be proficient in various techniques and make evidence-based decisions tailored to individual patient needs, ensuring optimal implant therapy outcomes. The lateral window approach remains a cornerstone of regenerative dental procedures, maintaining its significance through evolving methodologies and clinical advances. The lateral window sinus elevation procedure has demonstrated consistent success as a pre-prosthetic surgical intervention for over four decades, supported by multiple reviews. Initially a hospital-based procedure requiring autogenous bone harvesting, it has evolved into a minimally invasive, office-based procedure without the need for donor bone. Smaller access windows and flaps have further reduced morbidity. Despite the emergence of less invasive techniques such as the transcrestal approach and the use of tilted or short implants, the lateral window procedure remains relevant due to its unique advantages: Provides greater access to overcome obstacles like septa. Facilitates single-surgery management of multiple implant sites. Remains applicable regardless of residual crestal bone height. Allows intraoperative management of complications such as membrane perforations.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.169
GPT teacher head0.528
Teacher spread0.358 · 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 designNot applicable
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

Citations5
Published2025
Admission routes1
Has abstractyes

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