Evidence map›Paper›PMID 26951192›Full record

ArticleClinical and translational medicine2016

Biomarkers of early chronic obstructive pulmonary disease (COPD) in smokers and former smokers. Protocol of a longitudinal study.

Mikael Truedsson, Johan Malm, K Barbara Sahlin, May Bugge, Elisabet Wieslander, Magnus Dahlbäck, Roger Appelqvist, Thomas E Fehniger, György Marko-Varga

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  4. Can glypican-3 be a disease-specific biomarker?Clinical and translational medicine · 2017
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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

9 authors at 2 institutions in 2 countries.

Mikael TruedssonÖrestadskliniken, Eddagatan 4, 217 67, Malmö, Sweden. mikael.truedsson@orestadskliniken.com.
Johan MalmSection for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02, Malmö, Sweden. johan.malm@med.lu.se.
K Barbara SahlinSection for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02, Malmö, Sweden. barbara.sahlin@med.lu.se.
May BuggeÖrestadskliniken, Eddagatan 4, 217 67, Malmö, Sweden. may.bugge@orestadskliniken.com.
Elisabet WieslanderCentre of Excellence in Biological and Medical Mass Spectrometry, Biomedical Centre D13, Lund University, 221 84, Lund, Sweden. elisabet.wieslander@gmail.com.
Magnus DahlbäckCentre of Excellence in Biological and Medical Mass Spectrometry, Biomedical Centre D13, Lund University, 221 84, Lund, Sweden. magnus.dahlback@bme.lth.se.
Roger AppelqvistCentre of Excellence in Biological and Medical Mass Spectrometry, Biomedical Centre D13, Lund University, 221 84, Lund, Sweden. roger.appelqvist@bme.lth.se.
Thomas E FehnigerCentre of Excellence in Biological and Medical Mass Spectrometry, Biomedical Centre D13, Lund University, 221 84, Lund, Sweden.
György Marko-VargaCentre of Excellence in Biological and Medical Mass Spectrometry, Biomedical Centre D13, Lund University, 221 84, Lund, Sweden. gyorgy.marko-varga@bme.lth.se.
Lund University · SETokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is an irreversible disease, diagnosed predominantly in smokers. COPD is currently the third leading cause of death worldwide. Far more than 15 % of smokers get COPD: in fact, most develop some amount of pulmonary impairment. Smoking-related COPD is associated with both acute exacerbations and is closely correlated to comorbidities, such as cardiovascular disease and lung cancer. The objective of our study (KOL-Örestad) is to identify biomarkers in smokers and ex-smokers, with early signs of COPD, and compare these biomarkers with those of non-smokers and healthy smokers/ex-smokers. The participants in the study are recruited from Örestadskliniken, a primary health care clinic in Malmö, Sweden.

methodsTwo hundred smokers and ex-smokers diagnosed with COPD with airflow restriction according to GOLD stages 1-4 will be included and compared with 50 healthy never-smokers, and 50 healthy smokers/ex-smokers without airflow restriction (total n = 300). The age distribution is 35-80 years. The participants undergo a health examination including medical history, smoking history, lung function measurements, and respond to a "Quality of Life" questionnaire. Blood samples are drawn every 6 months during a period of 5 years. Additional blood sample collection is performed if participants are experiencing an exacerbation. The blood fractions will be analyzed by standard clinical chemistry assays and by proteomics utilizing mass spectrometry platforms. Optimal sample integrity is ensured by rapid handling with robotic biobank processing followed by storage at -80 °C. The study has been approved by the Regional Ethical Review Board in Lund ( http://epn.se/en ), (Approval number: DNR 2013/480), and registered at the NIH clinical trial registry ( http://clinicaltrials.gov ). RESULTS AND DISCUSSION: Currently, 220 subjects are enrolled in the study. CONCLUSIONS AND FUTURE DIRECTIONS: The study design will enable discovery of new biomarkers by using novel mass spectrometric techniques that define early changes of COPD. Such panels of novel biomarkers may be able to distinguish COPD from closely related diseases, co-morbidities, and contribute to an increased understanding of these diseases. Graphical abstract KOL-Örestad Study.

Indexed as

BiobankingBiomarkersClinical studyCOPDProteomics

Identifiers

PMID26951192
PMCPMC4781824
OpenAlexW2295017922

What OpenQuestion holds

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LicenceCC BY
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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.