Evidence map›Paper›PMID 39362797›Full record

ArticleBMJ open respiratory research2024

Estimating rate of lung function change using clinical spirometry data.

Aparna Balasubramanian, Christopher Cervantes, Andrew S Gearhart, Nirupama Putcha, Ashraf Fawzy, Meredith C McCormack, Anil Singh, Robert A Wise, Nadia N Hansel

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open respiratory research, 2024. 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

9 authors.

Aparna BalasubramanianPulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA abalasu2@jhmi.edu.ORCID 0000-0002-1854-6672
Christopher CervantesAsymmetric Operations Sector, Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA.
Andrew S GearhartResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA.
Nirupama PutchaPulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Ashraf FawzyPulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Meredith C McCormackPulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Anil SinghPulmonary and Critical Care Medicine, Alleghany Health Network, Pittsburgh, Pennsylvania, USA.
Robert A WisePulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Nadia N HanselPulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

Funding

Pulmonary Vascular Disease as a Contributor to Respiratory Morbidity in Chronic Obstructive Pulmonary DiseaseK23HL153778 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Aparna Balasubramanian · 2022 to 2026
$991k
NHLBI NIH HHS K23 HL153778
6 · The paper itself

Abstract

rationaleIn chronic obstructive pulmonary disease (COPD), accurately estimating lung function from electronic health record (EHR) data would be beneficial but requires addressing complexities in clinically obtained testing. This study compared analytic methods for estimating rate of forced expiratory volume in one second (FEV

methodsWe estimated rate of FEV

resultsAmong 1417 participants, median rate of change was approximately -30 mL/year or -2%/year. Non-regressive methods frequently generated erroneous estimates due to outlier first measurements or short intervals between tests. Average change yielded the most extreme estimates (minimum=-3761 mL/year), while regressive methods, and Huber specifically, minimised extreme estimates. Huber, Total Change and Quantile FEV

conclusionsUsing EHR data to estimate FEV

Indexed as

Electronic Health RecordsPulmonary Disease, Chronic ObstructiveSpirometryAgedFemaleForced Expiratory VolumeHospitalizationHumansLungMaleMiddle AgedCOPD epidemiologyRespiratory Function Test

Identifiers

PMID39362797
PMCPMC11459324

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.