Evidence map›Paper›PMID 41484401›Full record

ArticleLung2026

Four Methods to Determine Expiratory Time Constants from Spirometry and Their Sensitivity to Detect Airway Obstruction.

Filip Depta, Andreas Hoheisel, Surya P Bhatt, Vladimír Koblížek, Sandeep Bodduluri, Daiana Stolz, Martin Zakucia, Mária Drugdová, Viktor Kašák, Pavol Pobeha

Abstract readMulticenter StudyComparative Study
PubMed Publisher
In one paragraph

Article in Lung, 2026. 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
–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. 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

10 authors.

Filip DeptaFaculty of Medicine, Pavol Jozef Šafárik University, Košice, Slovakia. fdepta@protonmail.com.ORCID 0000-0002-2854-0450
Andreas HoheiselClinic of Pneumology, Faculty of Medicine, Medical Center-University of Freiburg, University of Freiburg, Freiburg, Germany.
Surya P BhattCenter for Lung Analytics and Imaging Research (CLAIR), Division of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, USA.
Vladimír KoblížekDepartment of Pulmonary Medicine, University Hospital Hradec Králové, Hradec Kralove, Czech Republic.
Sandeep BodduluriCenter for Lung Analytics and Imaging Research (CLAIR), Division of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, USA.
Daiana StolzClinic of Pneumology, Faculty of Medicine, Medical Center-University of Freiburg, University of Freiburg, Freiburg, Germany.
Martin ZakuciaŠpecializovaná Nemocnica Zobor, Nitra, Slovakia.
Mária DrugdováPneumo-Alergo Centrum, Bratislava, Slovakia.
Viktor KašákDepartment of Respiratory Diseases, Lerymed Ltd., Prague, Czech Republic.
Pavol PobehaFaculty of Medicine, Pavol Jozef Šafárik University, Košice, Slovakia.

Funding

Vedecká Grantová Agentúra MŠVVaŠ SR a SAV VEGA 1/0425/26
6 · The paper itself

Abstract

purposeThe expiratory time constant (TC), reflecting the rate of lung emptying, has emerged as a marker of early small airway disease. Although TC is traditionally used in mechanical ventilation, several calculation methods are also applicable to spirometry. This study aimed to evaluate the feasibility of four spirometry-based approaches for determining TC and to compare their sensitivity to detect airway obstruction.

methodsIn this multicenter, cross-sectional study of 17,988 adult flow/volume curves, the TC was directly measured (TC

resultsAll four TC methods were feasible but not interchangeable across spirometric categories. In the normal group, TC

conclusionsTC

Indexed as

Airway ObstructionExhalationLungSpirometryAdultAgedArea Under CurveCross-Sectional StudiesFeasibility StudiesFemaleForced Expiratory VolumeHumansMaleMiddle AgedROC CurveTime FactorsAirway obstructionExpiratory time constantFlow/volume curvesSpirometry

Identifiers

PMID41484401

What OpenQuestion holds

Textmetadata
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.