Evaluation of the effectiveness of orthodontic treatment with Invisalign in different wear time protocols: Randomized Clinical Trial

This clinical trial was registered under UTN U1111-1303-5576 at the Brazilian Registry of Clinical Trials (ReBEC).

Authors

Institutions

Publication Details

Journal
European Journal of Orthodontics
Published
2025-10-02
DOI
https://doi.org/10.1093/ejo/cjaf089
Primary Topic
Dental Erosion and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the effectiveness of orthodontic treatment with Invisalign in different wear time protocols: Randomized Clinical Trial

Karina Maria Salvatore de Freitas, Daniela Gamba Garib, Christian Zamberlan Angheben, Paula Cotrin et al.
European Journal of Orthodontics
Dental Erosion and Treatment
article

Evaluation of the effectiveness of orthodontic treatment with Invisalign in different wear time protocols: Randomized Clinical Trial

Karina Maria Salvatore de Freitas, Daniela Gamba Garib, Christian Zamberlan Angheben, Paula Cotrin, Tiago Fialho, Eduardo Terumi Blatt Ohira, Marcos Roberto de Freitas, José Eduardo Prado de Souza
article en

Abstract

This clinical trial was registered under UTN U1111-1303-5576 at the Brazilian Registry of Clinical Trials (ReBEC).

European Journal of OrthodonticsVol. 47(6)
Universidade Estadual de Maringá (BR), Universidade de São Paulo (BR), Universidade de Caxias do Sul (BR), Centro Universitário de Jaraguá do Sul (BR), Universidade Ibirapuera (BR)
Openalex Percentile: Top 50%
Dental Erosion and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.