Evidence map›Paper›PMID 38405550›Full record

ArticleAnnals of maxillofacial surgery

Soft-Tissue Changes in Unilateral Cleft Lip and Palate Patients after Non-surgical Maxillary Advancement with Face Mask Therapy - A Prospective Cohort Study.

Aida M Mossaad, Mostapha A Abdelrahman, Wael A Ghanem, Shadia Abdelhameed Elsayed

Open access · hybridAbstract read
In one paragraph

Article in Annals of maxillofacial surgery. 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, top 77% of its field
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, 0 citations in OpenAlex.

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

4 authors at 3 institutions in 2 countries.

Aida M MossaadDepartment of Oro-dental Genetics, National Research Centre, Cairo, Egypt.
Mostapha A AbdelrahmanDepartment of Oro-dental Genetics, National Research Centre, Cairo, Egypt.
Wael A GhanemDepartment of Plastic Pediatric Surgery, Ain Shams University, Cairo, Egypt.
Shadia Abdelhameed ElsayedDepartment of Oral and Maxillofacial Surgery, Faculty of Dental Medicine for Girls, Al-Azhar University, Cairo, Egypt.
Al-Azhar University · EGAin Shams University · EGCreative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of this study was to evaluate soft-tissue changes in Egyptian cleft lip/palate (CLP) patients after conservative non-surgical maxillary advancement using face mask therapy. Methods: This prospective cohort study included 20 Egyptian patients with unilateral CLP, six females and 14 males, ranging in age from 10 to 15 years and suffering from moderate maxillary deficiency. These patients had been chosen randomly from the Oro-dental Genetics Clinic at the National Research Centre, Egypt. For lateral cephalometry tracing and superimposition of pre-operative and post-treatment data, this study used Dolphin 11.0 software. Subnasal (Sn), pronasal (Pn), soft tissue pogonion (Pg), labial superior (Ls), stomion superioris (Ss), labiale inferior (Li), stomion inferioris (Si) and soft tissue Menton (Me) were the soft tissue points used in this analysis. Results: All of the cases were successful and demonstrated a positive response to the orthodontic traction. All post-operative linear measurements of the measured soft-tissue points showed statistically significant advancement ( Discussion: With the use of the face mask procedure, both upper and lower lip soft-tissue points improved significantly, but nasal points remained unchanged, requiring more management.

Indexed as

CleftEgyptfacemasksmaxilla

Identifiers

PMID38405550
PMCPMC10883229
OpenAlexW4388021922

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.