Evidence map›Paper›PMID 30707701›Full record

ArticlePloS one2019

Trabecular bone score in active or former smokers with and without COPD.

Jessica González, Macarena Rodríguez-Fraile, Pilar Rivera, Patricia Restituto, Inmaculada Colina, María de Los Desamparados Calleja, Ana B Alcaide, Aránzazu Campo, Juan Bertó, Luís M Seijo and 4 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Observational
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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

14 authors.

Jessica GonzálezPulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.ORCID 0000-0001-5591-5062
Macarena Rodríguez-FraileNuclear Medicine Department and clinical densitometry certified, Clínica Universidad de Navarra, Pamplona, Spain.
Pilar RiveraPulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.
Patricia RestitutoBiochemical Analysis Department, Clínica Universidad de Navarra, Pamplona, Spain.
Inmaculada ColinaDepartment of Internal Medicine, Clínica Universidad de Navarra, Pamplona, Spain.
María de Los Desamparados CallejaDepartment of Endocrinology & Nutrition, Clínica Universidad de Navarra, Pamplona, Spain.
Ana B AlcaidePulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.
Aránzazu CampoPulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.
Juan BertóPulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.
Luís M SeijoPulmonary Department, Clínica Universidad de Navarra, Madrid, Spain.
Teresa PérezPulmonary Department, Clínica Universidad de Navarra, Madrid, Spain.
Javier ZuluetaPulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.
Nerea VaroBiochemical Analysis Department, Clínica Universidad de Navarra, Pamplona, Spain.
Juan P de-TorresPulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking is a recognized risk factor for osteoporosis. Trabecular bone score (TBS) is a novel texture parameter to evaluate bone microarchitecture. TBS and their main determinants are unknown in active and former smokers.

objectiveTo assess TBS in a population of active or former smokers with and without Chronic Obstructive Pulmonary Disease (COPD) and to determine its predictive factors.

methodsActive and former smokers from a pulmonary clinic were invited to participate. Clinical features were recorded and bone turnover markers (BTMs) measured. Lung function, low dose chest Computed Tomography scans (LDCT), dual energy absorptiometry (DXA) scans were performed and TBS measured. Logistic regression analysis explored the relationship between measured parameters and TBS.

resultsOne hundred and forty five patients were included in the analysis, 97 (67.8%) with COPD. TBS was lower in COPD patients (median 1.323; IQR: 0.13 vs 1.48; IQR: 0.16, p = 0.003). Regression analysis showed that a higher body mass index (BMI), younger age, less number of exacerbations and a higher forced expiratory volume-one second (FEV1%) was associated with better TBS (β = 0.005, 95% CI:0.000-0.011, p = 0.032; β = -0.003, 95% CI:-0.007(-)-0.000, p = 0.008; β = -0.019, 95% CI:-0.034(-)-0.004, p = 0.015; β = 0.001, 95% CI:0.000-0.002, p = 0.012 respectively). The same factors with similar results were found in COPD patients.

conclusionsA significant proportion of active and former smokers with and without COPD have an affected TBS. BMI, age, number of exacerbations and the degree of airway obstruction predicts TBS values in smokers with and without COPD. This important information should be considered when evaluating smokers at risk of osteoporosis.

Indexed as

AgedAge FactorsBody Mass IndexBone DensityCancellous BoneFemaleForced Expiratory VolumeHumansLungMaleMiddle AgedPulmonary Disease, Chronic ObstructiveRespiratory Function TestsTobacco Smoking

Identifiers

PMID30707701
PMCPMC6358061

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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.