Evidence map›Paper›PMID 30170572›Full record

ArticleBMC pulmonary medicine2018

Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease.

Steven A Cowman, Joseph Jacob, Sayed Obaidee, R Andres Floto, Robert Wilson, Charles S Haworth, Michael R Loebinger

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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.

Steven A CowmanNational Heart and Lung Institute, Imperial College London, London, UK. s.cowman12@imperial.ac.uk.ORCID http://orcid.org/0000-0001-9341-8112
Joseph JacobNational Heart and Lung Institute, Imperial College London, London, UK.
Sayed ObaideeCambridge Centre for Lung Infection, Papworth Hospital, Cambridge, UK.
R Andres FlotoCambridge Centre for Lung Infection, Papworth Hospital, Cambridge, UK.
Robert WilsonNational Heart and Lung Institute, Imperial College London, London, UK.
Charles S HaworthCambridge Centre for Lung Infection, Papworth Hospital, Cambridge, UK.
Michael R LoebingerNational Heart and Lung Institute, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNontuberculous mycobacterial (NTM) pulmonary disease has conventionally been classified on the basis of radiology into fibrocavitary and nodular-bronchiectatic disease. Whilst being of great clinical utility, this may not capture the full spectrum of radiological appearances present. The aim of this study was to use latent class analysis (LCA) as an unbiased method of grouping subjects with NTM-pulmonary disease based on their CT features and to compare the clinical characteristics of these groups.

methodsIndividuals with NTM-pulmonary disease were recruited and a contemporaneous CT scan obtained. This was scored using an NTM-specific scoring system. LCA was used to identify groups with common radiological characteristics. The analysis was then repeated in an independent cohort.

resultsThree classes were identified in the initial cohort of 85 subjects. Group 1 was characterised by severe bronchiectasis, cavitation and aspergillomas, Group 2 by relatively minor radiological changes, and Group 3 by predominantly bronchiectasis only. These findings were reproduced in an independent cohort of 62 subjects. Subjects in Group 1 had a lower BMI and serum albumin, higher serum CRP, and a higher mortality.

conclusionsThese findings suggest that NTM-pulmonary may be divided into three radiological subgroups, and that important clinical and survival differences exist between these groups.

Indexed as

AgedFemaleHumansLatent Class AnalysisLungLung DiseasesMaleMiddle AgedMycobacterium Infections, NontuberculousNontuberculous MycobacteriaSurvival AnalysisTomography, X-Ray ComputedHigh resolution computed tomographyLatent class analysisNontuberculous mycobacteria

Identifiers

PMID30170572
PMCPMC6119278

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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.