Evidence map›Paper›PMID 35748567›Full record

ArticleThe Laryngoscope2023

Can the Remote Use of a Peak Flow Meter Predict Severity of Subglottic Stenosis and Surgical Timing?

Meredith Park, Kevin Tie, Heather Davis, Joseph Hall, Robert A Buckmire, Rupali N Shah

Abstract read
In one paragraph

Article in The Laryngoscope, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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.

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 synthesis or guideline pooled it.

  1. Spirometry in laryngotracheal stenosis: a systematic review and meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
    Pooled it
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.

Meredith ParkSchool of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-6832-5077
Kevin TieSchool of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-5703-3706
Heather DavisDepartment of Otolaryngology-Head & Neck Surgery, University of North Carolina, Chapel Hill, North Carolina, USA.
Joseph HallDepartment of Otolaryngology-Head & Neck Surgery, University of North Carolina, Chapel Hill, North Carolina, USA.
Robert A BuckmireDepartment of Otolaryngology-Head & Neck Surgery, University of North Carolina, Chapel Hill, North Carolina, USA.
Rupali N ShahDepartment of Otolaryngology-Head & Neck Surgery, University of North Carolina, Chapel Hill, North Carolina, USA.

Funding

SHORT-TERM RESEARCH TRAININGT35DK007386 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Evan Samuel Dellon · 1986 to 2026
$4.1M
NIDDK NIH HHS T35 DK007386
6 · The paper itself

Abstract

objectiveWe aimed to assess the relationship between patient-performed and patient-reported peak flow meter (PFM) measurements with pulmonary function testing (PFT) and Dyspnea Index (DI) scores as a tool for monitoring Subglottic stenosis (SGS) disease progression remotely.

methodsThirty-five SGS patients were prospectively enrolled. Patients were given PFMs to report serial measurements from home. DI scores and PFT were recorded at serial clinic visits. Data were analyzed to determine the correlation between PFM measurements and PFT data. Pre-operative and post-operative PFM measurements, PFT, and DI scores were analyzed for patients who underwent operative intervention. Receiver operating characteristic (ROC) curves were created for PFM measurements, PFT data, and DI scores to predict the likelihood of surgery.

resultsPFM measurements had a "strong" correlation with the peak expiratory flow rate (PEFR), r = 0.78. Means of PEFR, PIFR, EDI, PFM measurements, and DI scores all significantly improved after the operative intervention (p ≤ 0.05). The area under the curve for ROC curves for DI scores, PFM measurements, and EDI were highest in our cohort with values of 0.896, 0.823, and 0.806, respectively.

conclusionIn our SGS cohort, PFM measurements correlate strongly with PEFR measurements. PFM measurements can adequately demonstrate disease progression and predict the need for surgery in this patient population. Together, DI scores and PFM measurements may be a useful tool to remotely follow patients with SGS and inform timing of in-person assessments. LEVEL OF EVIDENCE: 2 Laryngoscope, 133:628-633, 2023.

Indexed as

DyspneaLaryngostenosisConstriction, PathologicDisease ProgressionHumansPeak Expiratory Flow RateRespiratory Function Testsdyspnea index (DI)idiopathic subglottic stenosispatient reported outcomespeak expiratory flow (PEFR) peak flow meterpulmonary function test (PFT)subglottic stenosistelehealth

Identifiers

PMID35748567
PMCPMC9789194

What OpenQuestion holds

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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.