Evidence map›Paper›PMID 40662652›Full record

Observational studyJournal of Korean medical science2025

Development of a Scoring System to Predict Suboptimal Peak Inspiratory Flow in Patients With Chronic Obstructive Pulmonary Disease.

Sang Hyuk Kim, Youlim Kim, Chin Kook Rhee, Hyun Lee, Chang Youl Lee, Joo Hun Park, Seung Won Ra, Yong Bum Park, Kwang Ha Yoo, Hee Joung Kim

Abstract readObservational Study
In one paragraph

Observational study in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

10 authors.

Sang Hyuk KimDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Dongguk University Gyeongju Hospital, Dongguk University College of Medicine, Gyeongju, Korea.ORCID https://orcid.org/0000-0002-0410-8524
Youlim KimDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1051-0667
Chin Kook RheeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-4533-7937
Hyun LeeDivision of Pulmonary Medicine and Allergy, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1269-0913
Chang Youl LeeDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, Korea.ORCID https://orcid.org/0000-0002-4088-4993
Joo Hun ParkDepartment of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0001-9971-7025
Seung Won RaDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.ORCID https://orcid.org/0000-0002-2458-8414
Yong Bum ParkDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-5814-6104
Kwang Ha YooDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9969-2657
Hee Joung KimDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea. hjkim@kuh.ac.kr.ORCID https://orcid.org/0000-0002-2516-5085

Funding

Boehringer Ingelheim 1237-0108
6 · The paper itself

Abstract

backgroundPeak inspiratory flow rate (PIFR) is a critical indicator for the successful use of dry powder inhalers (DPIs). However, resource constraints often limit the practicality of measuring PIFR prior to DPI prescription.

methodsA cross-sectional observational study was conducted across seven hospitals in Korea, including patients with chronic obstructive pulmonary disease (COPD). To develop a scoring system to predict suboptimal PIFR without direct measurement, variables were selected through a literature review and logistic regression model, considering practicality in clinical settings.

resultsThe study involved 436 patients and was divided into training and test datasets with a 7:3 ratio. Age (≥ 80 years), weight (≤ 60 kg), modified Medical Research Council score (≥ 2), and post-bronchodilator forced vital capacity (≤ 80%pred) were selected to develop the scoring system. The developed scoring system, ranging from 0 to 4 points with a 2-points threshold for predicting suboptimal PIFR, demonstrated acceptable predictive ability for suboptimal PIFR in training (area under the receiver operating characteristic [AUROC], 0.724; 95% confidence interval [CI], 0.660-0.789) and test datasets (AUROC, 0.686; 95% CI, 0.591-0.781).

conclusionOur developed scoring system demonstrated an acceptable predictive ability for suboptimal PIFR in COPD patients, utilizing variables that are easily applicable in clinical practice.

Indexed as

Pulmonary Disease, Chronic ObstructiveAgedAged, 80 and overArea Under CurveBronchodilator AgentsCross-Sectional StudiesDry Powder InhalersFemaleHumansLogistic ModelsMaleMiddle AgedRepublic of KoreaROC CurveVital CapacityBronchodilator AgentsInhalation DevicesObstructive Disease, Chronic PulmonaryRespiratory Function Tests

Identifiers

PMID40662652
PMCPMC12260603

What OpenQuestion holds

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LicenceCC BY-NC
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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.