Evidence map›Paper›PMID 38515270›Full record

ArticleChronic respiratory disease

Clinical implications of frailty assessed in hospitalized patients with acute-exacerbation of interstitial lung disease.

Marine Van Hollebeke, Karan Chohan, Colin J Adams, Jolene H Fisher, Shane Shapera, Lee Fidler, Ewan C Goligher, Tereza Martinu, Lisa Wickerson, Sunita Mathur and 3 more

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

Article in Chronic respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Prognosis of Lung Transplantation in Patients with Acute Exacerbations of Interstitial Lung Disease: A Meta-Analysis Based on Cohort Studies.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2024
    Pooled it
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. 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

13 authors at 4 institutions in 1 country.

Marine Van HollebekeDepartment of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-9749-569X
Karan ChohanTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-1239-074X
Colin J AdamsDivision of Respirology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-1348-8776
Jolene H FisherDivision of Respirology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Shane ShaperaToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Lee FidlerDivision of Respirology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Ewan C GoligherToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Tereza MartinuToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Lisa WickersonDepartment of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-6128-8966
Sunita MathurSchool of Rehabilitation Therapy, Queen's University, Kingston, ON, Canada.
Lianne G SingerToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
W Darlene ReidDepartment of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-9980-8699
Dmitry RozenbergToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0001-8786-9152
University Health Network · CAUniversity of Toronto · CAQueen's University · CASunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 50% of patients with interstitial lung disease (ILD) experience frailty, which remains unexplored in acute exacerbations of ILD (AE-ILD). A better understanding may help with prognostication and resource planning. We evaluated the association of frailty with clinical characteristics, physical function, hospital outcomes, and post-AE-ILD recovery.

methodsRetrospective cohort study of AE-ILD patients (01/2015-10/2019) with frailty (proportion ≥0.25) on a 30-item cumulative-deficits index. Frail and non-frail patients were compared for pre- and post-hospitalization clinical characteristics, adjusted for age, sex, and ILD diagnosis. One-year mortality, considering transplantation as a competing risk, was analysed adjusting for age, frailty, and Charlson Comorbidity Index (CCI).

results89 AE-ILD patients were admitted (median: 67 years, 63% idiopathic pulmonary fibrosis). 31 were frail, which was associated with older age, greater CCI, lower 6-min walk distance, and decreased independence pre-hospitalization. Frail patients had more major complications (32% vs 10%,

conclusionsFrailty was associated with reduced exercise capacity, increased comorbidities and hospital complications. Identifying frailty may highlight those requiring additional multidisciplinary support, but further study is needed to explore whether frailty is modifiable with AE-ILD.

Indexed as

FrailtyIdiopathic Pulmonary FibrosisLung Diseases, InterstitialHumansPrognosisRetrospective StudiesRisk FactorsfrailtyhospitalizationInterstitial lung diseasesprevalencesymptom of acute exacerbations

Identifiers

PMID38515270
PMCPMC10958799
OpenAlexW4393104281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.