Evidence map›Paper›PMID 39417152›Full record

ArticleOTO open

Optimizing Corticosteroid Sinonasal Irrigation Outcomes Through 3D Printing: A Randomized Pilot Clinical Trial.

Zachary T Root, Thomas J Lepley, Kanghyun Kim, Aspen R Schneller, Songzhu Zhao, Raymond Wen, Veronica L Formanek, Sarah M Sussman, Joseph S Lee, Ahmad Odeh and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in OTO open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06118554 (3D Printing for Topical Nasal Corticosteroid Irrigations), which is not on this 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.

NCT06118554 narecruitingnot on this map

3D Printing for Topical Nasal Corticosteroid Irrigations: a Randomized Clinical Trial.

TypeinterventionalSponsorOhio State UniversityRan2021 to 2027Enrolled200ConditionsChronic Rhinosinusitis With Nasal Polyps, Chronic Rhinosinusitis Without Nasal PolypsArmsIrrigation head position
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

14 authors.

Zachary T RootDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.ORCID 0009-0007-7717-9423
Thomas J LepleyDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Kanghyun KimDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Aspen R SchnellerDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Songzhu ZhaoDepartment of Biomedical Informatics and Center for Biostatistics The Ohio State University Wexner Medical Center Columbus Ohio USA.
Raymond WenDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Veronica L FormanekDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Sarah M SussmanDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Joseph S LeeDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Ahmad OdehDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Lai WeiDepartment of Biomedical Informatics and Center for Biostatistics The Ohio State University Wexner Medical Center Columbus Ohio USA.
Kathleen M KellyDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Bradley A OttoDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.
Kai ZhaoDepartment of Otolaryngology-Head and Neck Surgery The Ohio State University Wexner Medical Center Columbus Ohio USA.ORCID 0000-0003-4805-2689

Funding

Novel mechanisms and therapeutic approaches for nasal obstruction and olfactory lossesR01DC020302 · NIDCD · OHIO STATE UNIVERSITY · PI KAI ZHAO · 2022 to 2026
$2.0M
NIDCD NIH HHS R01 DC020302
6 · The paper itself

Abstract

Objective: Topical corticosteroid irrigation plays critical role in the management of chronic rhinosinusitis (CRS). Yet, its efficacy can be highly variable. We sought to determine if personalized, 3-dimensional (3D)-printed nasal models can optimize head positioning and irrigation parameters, therefore improving patient outcomes. Study Design: Randomized, single-blinded clinical trial. Setting: Tertiary medical center from November 2021 to July 2023. Methods: Sixty-two patients with CRS were randomized into either control (CG), backfill (BG), or model (MG) groups; daily 2 mg mometasone irrigations were then performed for 2 months with either standard head-forward and natural side-tilt position (CG), a head tilt of 90° to the side with fluid entering the lower nostril (BG), or in an optimized position as determined by a patient-specific 3D printed irrigation model (MG), respectively. Results: A total of 36 patients completed the trial (CG: N = 14/23; BG N = 11/23, MG: N = 11/16). Significant posttreatment improvement in Lund-Mackay (LM) scoring was only observed in the MG (-3.73, 95% confidence interval = -5.71, -1.75; Conclusion: The use of 3D printing to personalize head positioning may significantly improve objective corticosteroid irrigation outcomes. Mometasone irrigation may have similar subjective and objective effects on patients regardless of prior surgical history. Level of Evidence: Level 1 prospective, randomized, single-blinded clinical trial NCT06118554.

Indexed as

chronic rhinosinusitisFESSnasal drug deliverysteroidtopical medication

Identifiers

PMID39417152
PMCPMC11480515

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Registered trials

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.