Evidence map›Paper›PMID 34080126›Full record

ArticleInternational journal of computer assisted radiology and surgery2022

A systematic analysis of surgical interventions for the airway in the mature unilateral cleft lip nasal deformity: a single case study.

Rose T Tillis, Reanna Shah, Hannah L Martin, Alexander C Allori, Jeffrey R Marcus, Dennis O Frank-Ito

Open access · greenAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Nasal airway obstruction in patients with cleft lip nasal deformity: A systematic review.Journal of plastic, reconstructive & aesthetic surgery : JPRAS · 2024
    Pooled it
  2. Article
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 at 1 institution in 1 country.

Rose T TillisDuke University Medical Center, Duke University Hospital, Durham, NC, USA. rose.tillis@duke.edu.ORCID http://orcid.org/0000-0002-7414-6569
Reanna ShahDuke University Medical Center, Duke University Hospital, Durham, NC, USA.
Hannah L MartinDuke University Medical Center, Duke University Hospital, Durham, NC, USA.
Alexander C AlloriDuke University Medical Center, Duke University Hospital, Durham, NC, USA.
Jeffrey R MarcusDuke University Medical Center, Duke University Hospital, Durham, NC, USA.
Dennis O Frank-ItoDuke University Medical Center, Duke University Hospital, Durham, NC, USA.
Duke University Hospital · US

Funding

Computational modeling of the mature unilateral cleft lip nasal deformity for objective assessment of patient nasal function and treatment outcomesR01DE028554 · NIDCR · DUKE UNIVERSITY · PI FRANK-ITO, DENNIS ONYEKA · 2019 to 2022
$1.7M
NIDCR NIH HHS R01 DE028554NIH HHS R01DE028554
6 · The paper itself

Abstract

purposeIndividuals with unilateral cleft lip nasal deformity (uCLND) often require rhinoplasty in adolescence to correct nasal obstruction. The intent of this study is to identify sites of greatest nasal obstruction and evaluate the effects of isolated and combinations of simulated surgical procedures on these sites using computational fluid dynamics (CFD).

methodsComputed tomography imaging of an adolescent subject with uCLND was converted to an anatomically accurate three-dimensional nasal airway model. Initial analysis was performed to identify anatomic sites of obstruction based on CFD computed resistance values. Virtual surgery procedures corresponding to common uCLND surgical interventions were simulated. Resulting airspace models were then analyzed after conducting airflow and heat transfer simulations.

resultsThe preoperative model had 21 obstructed sites with a nasal resistance of 0.075 Pa s/mL. Following simulated surgical procedures with functional interventions alone and in combinations, the three virtual surgery models with most improved nasal airflow were inferior turbinate reduction (ITR) with posterior septoplasty (resistance = 0.054 Pa s/ml, reduction in 14 of 21 obstructed sites), ITR with anterior septoplasty (resistance = 0.058 Pa s/ml, reduction in 8 of 21 obstructed sites), and ITR with both anterior and posterior septoplasty (resistance = 0.052 Pa s/ml, reduction in 17 of 21 obstructed sites).

conclusionThis study introduces a new technique for analysis of the impact of different simulated surgical interventions on uCLND-induced nasal obstruction. In this subject, simulated septoplasty with ITR on the non-cleft side provided maximal relief of nasal obstruction. The proposed technique can be further studied for possible utility in analyzing potential surgical interventions for optimal relief of nasal obstruction in patients with uCLND.

Indexed as

Cleft LipNasal ObstructionRhinoplastyAdolescentHumansNasal SeptumTurbinatesAirflowCleft lipCleft lip nasal deformity (CLND)ObstructionRhinoplastySeptoplasty

Identifiers

PMID34080126
PMCPMC8636526
OpenAlexW3165040461

What OpenQuestion holds

Textmetadata
LicenceTDM
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.