Evidence map›Paper›PMID 31221137›Full record

ArticleBMC pulmonary medicine2019

Diagnostic accuracy of a velcro sound detector (VECTOR) for interstitial lung disease in rheumatoid arthritis patients: the InSPIRAtE validation study (INterStitial pneumonia in rheumatoid ArThritis with an electronic device).

A Manfredi, G Cassone, S Cerri, V Venerito, A L Fedele, M Trevisani, F Furini, O Addimanda, F Pancaldi, G Della Casa and 14 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC pulmonary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
6.1field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 4 syntheses or guidelines pooled it, 76 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

24 authors at 4 institutions in 1 country.

A ManfrediRheumatology Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71 41121, Modena, Italy. andreina.manfredi@gmail.com.ORCID http://orcid.org/0000-0002-1051-9231
G CassoneRheumatology Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71 41121, Modena, Italy.
S CerriRespiratory Disease Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, 41124, Modena, Italy.
V VeneritoRheumatology Unit, Dipartimento Interdisciplinare di Medicina, University of Bari, 70124, Bari, Italy.
A L FedeleRheumatology Unit, Catholic University of the Sacred Heart, 00168, Rome, Italy.
M TrevisaniRheumatology Unit, Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola-Malpighi, 40121, Bologna, Italy.
F FuriniRheumatology Unit, Clinical and experimental Medicine, Sant'Anna Hospital, 44121, Ferrara, Italy.
O AddimandaRheumatology Unit, Department of Biomedical and Neuromotor Sciences, Rizzoli Orthopaedic Institute and University of Bologna, 40136, Bologna, Italy.
F PancaldiDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, 41124, Modena, Italy.
G Della CasaRadiology Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, 41124, Modena, Italy.
R D'AmicoUnit of Statistics in Medicine, Department of Oncology and Hematology, University of Modena and Reggio Emilia, 41124, Modena, Italy.
R ViciniUnit of Statistics in Medicine, Department of Oncology and Hematology, University of Modena and Reggio Emilia, 41124, Modena, Italy.
G SandriRheumatology Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71 41121, Modena, Italy.
P TorricelliRadiology Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, 41124, Modena, Italy.
I CelentanoRadiology Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, 41124, Modena, Italy.
A BortoluzziRheumatology Unit, Clinical and experimental Medicine, Sant'Anna Hospital, 44121, Ferrara, Italy.
N MalavoltaRheumatology Unit, Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola-Malpighi, 40121, Bologna, Italy.
R MeliconiRheumatology Unit, Department of Biomedical and Neuromotor Sciences, Rizzoli Orthopaedic Institute and University of Bologna, 40136, Bologna, Italy.
F IannoneRheumatology Unit, Dipartimento Interdisciplinare di Medicina, University of Bari, 70124, Bari, Italy.
E GremeseRheumatology Unit, Catholic University of the Sacred Heart, 00168, Rome, Italy.
F LuppiRespiratory Disease Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, 41124, Modena, Italy.
C SalvaraniRheumatology Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71 41121, Modena, Italy.
M SebastianiRheumatology Unit, Azienda Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71 41121, Modena, Italy.
GISEA (Gruppo Italiano Studio Early Arthritis)
University of Modena and Reggio Emilia · ITUniversità Cattolica del Sacro Cuore · ITIRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · ITIstituto Ortopedico Rizzoli · IT

Funding

Università Degli Studi di Modena e Reggio Emila FAR2016
6 · The paper itself

Abstract

backgroundInterstitial lung disease (ILD) is a severe systemic manifestation of rheumatoid arthritis (RA). High-resolution computed tomography (HRCT) represents the gold standard for the diagnosis of ILD, but its routine use for screening programs is not advisable because of both high cost and X-ray exposure. Velcro crackles at lung auscultation occur very early in the course of interstitial pneumonia, and their detection is an indication for HRCT. Recently, we developed an algorithm (VECTOR) to detect the presence of Velcro crackles in pulmonary sounds and showed good results in a small sample of RA patients. The aim of the present investigation was to validate the diagnostic accuracy of VECTOR in a larger population of RA patients, compared with that of the reference standard of HRCT, from a multicentre study.

methodsTo avoid X-ray exposure, we enrolled 137 consecutive RA patients who had recently undergone HRCT. Lung sounds of all patients were recorded in 4 pulmonary fields bilaterally with a commercial electronic stethoscope (ES); subsequently, all HRCT images were blindly evaluated by a radiologist, and audio data were analysed by means of VECTOR.

resultsFifty-nine of 137 patients showed ILD (43.1%). VECTOR correctly classified 115/137 patients, showing a diagnostic accuracy of 83.9% and a sensitivity and specificity of 93.2 and 76.9%, respectively.

conclusionsVECTOR may represent the first validated tool for the screening of RA patients who are suspected for ILD and who should be directed to HRCT for the diagnosis. Moreover, early identification of RA-ILD could contribute to the design of prospective studies aimed at elucidating unclear aspects of the disease.

Indexed as

AgedAlgorithmsArthritis, RheumatoidAuscultationFemaleHumansLungLung Diseases, InterstitialMaleMiddle AgedPredictive Value of TestsProspective StudiesRespiratory SoundsDiagnostic accuracyInterstitial lung diseaseRheumatoid arthritisVelcro sound

Identifiers

PMID31221137
PMCPMC6587236
OpenAlexW2952273912

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.