Evidence map›Paper›PMID 35296320›Full record

ArticleRespiratory research2022

Comorbidities in unclassifiable interstitial lung disease.

Thomas Skovhus Prior, Charlotte Hyldgaard, Sebastiano Emanuele Torrisi, Sissel Kronborg-White, Claudia Ganter, Elisabeth Bendstrup, Michael Kreuter

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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 2 countries.

Thomas Skovhus Prior *Centre for Rare Lung Diseases, Department of Respiratory Diseases and Allergy, Aarhus University Hospital, Aarhus, Denmark. thbjer@rm.dk.ORCID http://orcid.org/0000-0002-0668-8454
Charlotte Hyldgaard *Diagnostic Center, University Research Clinic for Innovative Patient Pathways, Silkeborg Regional Hospital, Silkeborg, Denmark.
Sebastiano Emanuele Torrisi *Centre for Interstitial and Rare Lung Diseases, Pneumology, Thoraxklinik, University of Heidelberg and German Centre for Lung Research, Heidelberg, Germany.
Sissel Kronborg-WhiteCentre for Rare Lung Diseases, Department of Respiratory Diseases and Allergy, Aarhus University Hospital, Aarhus, Denmark.
Claudia GanterCentre for Interstitial and Rare Lung Diseases, Pneumology, Thoraxklinik, University of Heidelberg and German Centre for Lung Research, Heidelberg, Germany.
Elisabeth Bendstrup *Centre for Rare Lung Diseases, Department of Respiratory Diseases and Allergy, Aarhus University Hospital, Aarhus, Denmark.
Michael Kreuter *Centre for Interstitial and Rare Lung Diseases, Pneumology, Thoraxklinik, University of Heidelberg and German Centre for Lung Research, Heidelberg, Germany.
Aarhus University Hospital · DKHeidelberg University · DERegionshospitalet Silkeborg · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComorbidities are common in interstitial lung diseases (ILD) and have an important association with survival, but the frequency and prognostic impact of comorbidities in unclassifiable interstitial lung disease (uILD) remains elusive. We aimed to describe the prevalence of comorbidities and assess the impact on survival in patients with uILD. Furthermore, we aimed to identify and characterize potential phenotypes based on clusters of comorbidities and examine their association with disease progression and survival.

methodsIncident patients diagnosed with uILD were identified at two ILD referral centers in Denmark and Germany from 2003 to 2018. The diagnosis uILD was based on multidisciplinary team meetings. Clinical characteristics and comorbidities were extracted from ILD registries and patient case files. Survival analyses were performed using Cox regression analyses, disease progression was analyzed by linear mixed effects models, and clusters of comorbidities were analyzed using self-organizing maps.

resultsA total of 249 patients with uILD were identified. The cohort was dominated by males (60%), former (49%) or current (15%) smokers, median age was 70 years, mean FVC was 75.9% predicted, and mean DLCO was 49.9% predicted. One-year survival was 89% and three-year survival was 73%. Eighty-five percent of the patients had ≥ 1 comorbidities, 33% had ≥ 3 comorbidities and 9% had ≥ 5 comorbidities. The only comorbidity associated with excess mortality was dyslipidemia. No association between survival and number of comorbidities or the Charlson comorbidity index was observed. Three clusters with different comorbidities profiles and clinical characteristics were identified. A significant annual decline in FVC and DLCO % predicted was observed in cluster 1 and 2, but not in cluster 3. No difference in mortality was observed between the clusters.

conclusionsThe comorbidity burden in uILD is lower than reported in other types of ILD and the impact of comorbidities on mortality needs further clarification. Three clusters with distinct comorbidity profiles were identified and could represent specific phenotypes. No difference in mortality was observed between clusters, but slower disease progression was observed in cluster 3. Better understanding of disease behavior and mortality will require further studies of subgroups of uILD with longer observation time.

Indexed as

AgedComorbidityDenmarkFemaleGermanyHumansLung Diseases, InterstitialMaleMiddle AgedPrevalenceRetrospective StudiesSurvival RateCluster analysesComorbiditiesDisease courseMortalityUnclassifiable interstitial lung disease

Identifiers

PMID35296320
PMCPMC8925215
OpenAlexW4220998056

What OpenQuestion holds

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LicenceCC BY
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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.