Evidence map›Paper›PMID 38546911›Full record

ArticleMaxillofacial plastic and reconstructive surgery2024

Enhanced revision rhinoplasty with processed costal cartilage guided by preoperative computed tomography and 3D scanning.

Pawel Szychta

Open access · goldAbstract read
In one paragraph

Article in Maxillofacial plastic and reconstructive surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

1 author at 1 institution in 1 country.

Pawel SzychtaDr Szychta Clinic chirurgiaplastyczna.pl, Gdansk, Poland. pawel.szychta@chirurgiaplastyczna.pl.ORCID http://orcid.org/0000-0001-8720-4310
Niepubliczna Wyższa Szkoła Medyczna · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRevision rhinoplasty presents unique challenges, particularly in achieving structural integrity and aesthetic harmony. This study explores the efficacy of costal grafts in addressing these challenges, focusing on anatomical corrections and patient outcomes. MATERIALS AND

methodsA prospective analysis was conducted on patients undergoing revision rhinoplasty with costal grafts. An algorithmic approach was applied to tailor the surgical technique to individual anatomical needs, documented through pre- and postoperative assessments, including CT imaging and 3D scanning.

resultsA total of 34 patients were included. Significant improvements were noted in nasal structure and function post-surgery. The mean NOSE score improved from 94.47 ± 5.48 preoperatively to 12.59 ± 13.43 postoperatively, and the mean ROE score increased from 18.44 ± 10.02 to 92.65 ± 13.00, indicating substantial enhancement in both nasal airway function and patient satisfaction. The use of costal grafts facilitated effective corrections for a broad spectrum of nasal deformities, with a complication rate of 2.94%.

conclusionsCostal grafts in revision rhinoplasty offer a versatile and effective solution for complex nasal deformities. The algorithmic approach used in this study enhances repeatability and outcomes, suggesting a promising avenue for achieving desired aesthetic and functional results in revision cases. Further research is warranted to optimize techniques and evaluate long-term outcomes. LEVEL OF EVIDENCE: II.

Indexed as

3D scanning in rhinoplastyAesthetic outcomes in revision rhinoplastyClinical implications in rhinoplastyCostal graft integrationNasal Obstruction Symptom EvaluationPrecision surgeryRevision rhinoplasty

Identifiers

PMID38546911
PMCPMC10978561
OpenAlexW4393262808

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.