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Record W3161654898

Clinical outcomes of laser microtextured implants or abutments: A systematic review.

2021· article· en· W3161654898 on OpenAlexaboutno aff
James Carrigy, Ajay Sharma, Vittoria Perrotti, A. Alberigi Quaranta

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDentistryCollarImplantMeta-analysisSoft tissueRandomized controlled trialGingival recessionOrthodonticsSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: To investigate the effect of laser microtextured collars or laser microtextured abutments on clinical measures that may relate to improved implant success and survival. MATERIALS AND METHODS: This review was registered on the PROSPERO database and conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. MEDLINE (via PubMed) and Embase were screened for studies with at least 10 participants and followed up for at least 1 year, reporting on the following clinical outcomes: radiographic marginal bone level, peri-implant probing depth, soft tissue index and failure rates of implants with laser microtextured collars or laser microtextured abutments. The quality of the studies was assessed using the Cochrane risk-of-bias tool or the Newcastle-Ottawa scale. RESULTS: After removal of duplicates, 86 articles were identified. A total of 25 articles were included after screening. Four were randomised controlled trials, two were non-randomised controlled trials, two were prospective studies, five were retrospective cohort studies and twelve had no control group. Most comparative studies reported that laser microtextured collar implants had less marginal bone loss and shallower peri-implant probing depth than machined collar implants. Only two studies had controls other than machined collar implants; in these, the use of laser microtextured collar implants was not observed to be significantly different. Three studies reported reduced marginal recession in laser microtextured collar implants when compared to machined collar controls. No difference in failure rate was observed between laser microtextured collar and machined collar implants. One study reported on peri-implant diseases and favoured laser microtextured collar implants. Three papers reported using laser microtextured abutments with no control, but no specific conclusions could be drawn. CONCLUSIONS: Laser microtextured collar implants appear to reduce marginal bone loss and peri-implant probing depth when compared to machined collar implants. There is weak evidence to suggest that laser microtextured collar implants may also improve aesthetic outcomes and reduce incidence of disease. Research is required regarding laser microtextured abutments, and studies comparing laser microtexturing with alternative solutions are also lacking.

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)0.009
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.009
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.057
GPT teacher head0.362
Teacher spread0.305 · 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 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

Citations6
Published2021
Admission routes1
Has abstractyes

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