Evidence map›Paper›PMID 40673118›Full record

ArticleJournal of advanced periodontology & implant dentistry2025

Slim V-shaped frenectomy: Description of a minimally invasive surgical technique.

Abdusalam E Alrmali, Paolo Nava, Jacob Martin Zimmer, Syed Hanan Rufai, Andreas Onisiforou, Hom-Lay Wang

Abstract readCase Reports
In one paragraph

Article in Journal of advanced periodontology & implant dentistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abdusalam E AlrmaliDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0001-7437-6279
Paolo NavaDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, MI, USA.
Jacob Martin ZimmerDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, MI, USA.
Syed Hanan RufaiDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, MI, USA.
Andreas OnisiforouDepartment of Biologic and Materials Sciences & Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI, USA.
Hom-Lay WangDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0003-4238-1799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article introduces a minimally invasive slim V-shaped surgical technique for labial frenectomy, specifically targeting high labial frenulum attachment. Proper frenulum management is critical in dental specialties, influencing aesthetics, phonetics, and prosthetic rehabilitation outcomes. The described technique is adaptable to various types of labial frenulum, including mucosal, gingival, papillary, and papilla penetrating. It involves a slim V-shaped incision, consecutive frenulum detachment, and repositioning within the vestibule, effectively addressing potential recurrence growth. Its minimally invasive nature reduces wound expansion into neighboring structures, ensuring optimal healing and minimizing postoperative discomfort. In conclusion, the slim V-shaped surgical technique offers a promising solution, minimizing complications and maximizing treatment success for high labial frenulum attachment.

Indexed as

DentalEstheticsLabial frenulumMinimally invasive surgical proceduresOral frenectomyPeriodontics

Identifiers

PMID40673118
PMCPMC12261069

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.