Evidence map›Paper›PMID 42181434›Full record

ArticleCureus2026

Management of Soft Tissue Deficiency Around an Anterior Implant Placed During the Adolescent Period: A Case Report of 30 Months Follow-Up.

Duygu Yaman, Burak Saygın, Beyza Bozoklu, Nülüfer Demir, Sina Saygılı, Tonguç Sülün

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. 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.

Duygu YamanPeriodontology, Istanbul University Faculty of Dentistry, Istanbul, TUR.
Burak SaygınProsthodontics, Istanbul University Faculty of Dentistry, Istanbul, TUR.
Beyza BozokluPeriodontology, Istanbul University Faculty of Dentistry, Istanbul, TUR.
Nülüfer DemirPeriodontology, Istanbul University Faculty of Dentistry, Istanbul, TUR.
Sina SaygılıProsthodontics, Istanbul University Faculty of Dentistry, Istanbul, TUR.
Tonguç SülünProsthodontics, Istanbul University Faculty of Dentistry, Istanbul, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This clinical report describes the interdisciplinary rehabilitation of a 21-year-old male patient who presented with esthetic concerns due to an anterior implant placed during adolescence following traumatic tooth loss. Clinical and radiographic examination revealed the presence of an implant in infraposition at tooth #21, along with vertical and horizontal peri-implant soft tissue deficiencies. The patient underwent two sequential soft tissue augmentation procedures using de-epithelialized gingival grafts to improve the volume and stability of the mucosa. A customized abutment was digitally designed and fabricated, considering the buccal malposition of the implant, and provisionalized to allow soft tissue conditioning. Anodization techniques were employed to minimize the grayish shine-through effect of the titanium abutment. Final restoration was completed using a monolithic zirconia crown, shade-matched using Matisse.AI (LabMatisse, Veenendaal, the Netherlands). This case underscores the challenges associated with implant placement during adolescence and highlights the importance of soft tissue management, abutment customization, and the integration of digital prosthetic workflows to achieve mid-term esthetic and functional success.

Indexed as

adolescenceanodizationanterior implantcustomized abutmentdigital workflowesthetic rehabilitationperi-implant soft tissue augmentation

Identifiers

PMID42181434
PMCPMC13191196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.