Evidence map›Paper›PMID 32753558›Full record

ArticleBJGP open2020

Predictive value of spirometry in early detection of lung disease in adults: a cohort study.

Lene Maria Ørts, Bodil Hammer Bech, Torsten Lauritzen, Janus Laust Thomsen, Niels Henrik Bruun, Anders Løkke, Annelli Sandbæk

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJGP open, 2020. 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, top 84% of its field
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, 0 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Lene Maria ØrtsDepartment of Public Health, Section for General Medical Practice, Aarhus University, Aarhus, Denmark lmo@ph.au.dk.ORCID http://orcid.org/0000-0001-5834-0639
Bodil Hammer BechDepartment of Public Health, Research Unit for Epidemiology, Aarhus University, Aarhus, Denmark.
Torsten LauritzenDepartment of Public Health, Section for General Medical Practice, Aarhus University, Aarhus, Denmark.
Janus Laust ThomsenDepartment of Clinical Medicine, Research Unit for General Practice, Aalborg University, Aalborg, Denmark.
Niels Henrik BruunDepartment of Public Health, Section for General Medical Practice, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-2644-4115
Anders LøkkeDepartment of Medicine, Lillebælt Hospital, Vejle, Denmark.
Annelli SandbækDepartment of Public Health, Section for General Medical Practice, Aarhus University, Aarhus, Denmark.
Aarhus University · DKAalborg University · DKLillebaelt Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpirometry is essential to identify cases with obstructive lung diseases (OLDs) in primary care. However, knowledge about the long-term prognostic outcome among younger individuals is sparse.

aimTo describe the predictive value of spirometry among individuals in the age groups 30-49 years and 45-64 years. DESIGN &

settingA population-based cohort study supplied with data from Danish national registries.

methodSpirometry was performed in 905 adults aged 30-49 years in 1991 and in 1277 adults aged 45-64 years in 2006. The participants were categorised into three groups: forced expiratory volume in 1 second (FEV

resultsIn the 1991 cohort, 21% developed lung diseases and in the 2006 cohort 17% developed lung diseases throughout 2017. The probability of developing lung disease if FEV

conclusionThe initial spirometry has a high predictive value to identify cases of future lung diseases. In addition, the group with FEV

Indexed as

early diagnosislung diseases, obstructiveprimary health carespirometry

Identifiers

PMID32753558
PMCPMC7606152
OpenAlexW3047493454

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.