Evidence map›Paper›PMID 29605213›Full record

ArticleRespiratory medicine2018

Interstitial lung abnormality is prevalent and associated with worse outcome in patients undergoing transcatheter aortic valve replacement.

Michael Kadoch, Aleksandar Kitich, Shehabaldin Alqalyoobi, Elyse Lafond, Elena Foster, Maya Juarez, Cesar Mendez, Thomas W Smith, Garrett Wong, Walter D Boyd and 2 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory medicine, 2018. 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
1.9field-weighted citation impact, top 13% 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, 17 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

12 authors at 2 institutions in 1 country.

Michael KadochDepartment of Radiology, University of California at Davis, Sacramento, CA, USA.
Aleksandar KitichDepartment of Radiology, University of California at Davis, Sacramento, CA, USA.
Shehabaldin AlqalyoobiDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA, USA.
Elyse LafondDepartment of Internal Medicine, University of California at Davis, Sacramento, CA, USA.
Elena FosterDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA, USA.
Maya JuarezDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA, USA.
Cesar MendezDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA, USA.
Thomas W SmithDepartment of Internal Medicine, Division of Cardiology, University of California at Davis, USA.
Garrett WongDepartment of Internal Medicine, Division of Cardiology, University of California at Davis, USA.
Walter D BoydDepartment of Thoracic Surgery, University of California at Davis, USA.
Jeffrey SouthardDepartment of Internal Medicine, Division of Cardiology, University of California at Davis, USA.
Justin M OldhamDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA, USA. Electronic address: joldham@ucdavis.edu.
University of California, Davis · USUniversity of California System · US

Funding

Elucidating the Genomic Determinants of Outcomes in Idiopathic Pulmonary FibrosisK23HL138190 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI OLDHAM, JUSTIN M · 2017 to 2021
$914k
NHLBI NIH HHS K23 HL138190
6 · The paper itself

Abstract

backgroundInterstitial lung abnormality (ILA) is found in 5-10% of the general population and is associated with increased mortality risk. Risk factors for ILA, including advanced age and smoking history also increase the risk for aortic stenosis (AS). Transcatheter aortic valve replacement (TAVR) has become an increasingly utilized intervention for patients with severe AS, and requires a high-resolution computed tomography (HRCT) of the chest to assess aortic valve dimensions.

objectivesTo determine the prevalence and clinical significance of ILA on HRCT performed in patients referred for TAVR.

methodsConsecutive pre-TAVR HRCTs performed over a 5-year period were reviewed. ILA was defined as bilateral, nondependent reticular opacities. All-cause mortality among TAVR recipients was compared between ILA cases and non-ILA controls matched 2:1 by age and gender using Cox proportional hazards regression and the Kaplan Meier estimator.

resultsOf 623 HRCTs screened, ILA was detected in 92 (14.7%), including 62 patients that underwent TAVR. Among ILA cases, 17 (27.4%) had a typical or probable usual interstitial pneumonia pattern, suggesting a diagnosis of idiopathic pulmonary fibrosis. Survival was worse in ILA cases compared to non-ILA controls (p = 0.008) and ILA was an independent predictor of mortality after multivariable adjustment (HR 3.29, 95% CI 1.34-8.08; p = 0.009).

conclusionsILA is a common finding among patients with severe AS and is associated with increased mortality in those undergoing TAVR. Further research is needed to elucidate the biology underpinning this observation and determine whether ILA evaluation and risk stratification modulates this mortality risk.

Indexed as

AgedAged, 80 and overAortic ValveAortic Valve StenosisDiagnostic Screening ProgramsFemaleHumansIdiopathic Pulmonary FibrosisLung Diseases, InterstitialMaleMortalityPrevalenceRetrospective StudiesRisk FactorsSpirometryTomography, X-Ray Computed

Identifiers

PMID29605213
PMCPMC5915619
OpenAlexW2792019395

What OpenQuestion holds

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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.