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Record W2774944751 · doi:10.1111/cid.12565

Relationship between implant stability measurements obtained by insertion torque and resonance frequency analysis: A systematic review

2017· review· en· W2774944751 on OpenAlexvenueno aff
Frederico Santos Lages, Dhelfeson Willya Douglas de Oliveira, Fernando Oliveira Costa

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2017
Typereview
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsResonance frequency analysisCochrane LibraryImplant stability quotientMedicineScopusSystematic reviewDentistryMEDLINEDental implantMeta-analysisImplantMedical physicsOrthodonticsSurgeryPathology

Abstract

fetched live from OpenAlex

BACKGROUND: The primary stability of dental implants can be evaluated by insertion torque (IT) and resonance frequency analysis (RFA). OBJECTIVE: Assess the supposed relationship between the IT and RFA. MATERIALS AND METHODS: A systematic review was performed based on the PRISMA. The electronic search was performed in the PubMed, Web of Science, SCOPUS, Cochrane Library electronic, OVID, and Scielo databases. Manual searches were also performed. There was no restrictions regarding year of publication or language. The articles identified were assessed independently by 3 trained researchers. Clinical trials reporting the RFA values by means of implant stability quotient (ISQ) and IT were included. RESULTS: = .366; P = .079). The quality of the evidence was downgraded by risk of bias and indirectness; and the certainty of the evidence was low. CONCLUSION: IT and RFA are independent and incomparable methods of measuring primary stability. Is important for clinicians to define only one method of evaluation for each implant.

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)0.017
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0020.004
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 head0.547
GPT teacher head0.564
Teacher spread0.017 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
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

Citations144
Published2017
Admission routes1
Has abstractyes

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