Evidence map›Paper›PMID 23032451›Full record

ReviewChest2012

The expanding role of biomarkers in the assessment of smoking-related parenchymal lung diseases.

Tracy J Doyle, Victor Pinto-Plata, Danielle Morse, Bartolome R Celli, Ivan O Rosas

Abstract readReview
In one paragraph

Review in Chest, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Causes of Pulmonary Fibrosis in the Elderly.Medical sciences (Basel, Switzerland) · 2018
    Review
  5. Article
  6. Article
  7. Serum CCL-18 level is a risk factor for COPD exacerbations requiring hospitalization.International journal of chronic obstructive pulmonary disease · 2017
    Article
  8. Galectin-3 Is Associated with Restrictive Lung Disease and Interstitial Lung Abnormalities.American journal of respiratory and critical care medicine · 2016
    Article
  9. Review
  10. Detection of Rheumatoid Arthritis-Interstitial Lung Disease Is Enhanced by Serum Biomarkers.American journal of respiratory and critical care medicine · 2015
    Observational
  11. Article
  12. Biomarkers of rheumatoid arthritis-associated interstitial lung disease.Arthritis & rheumatology (Hoboken, N.J.) · 2015
    Article
  13. Review
  14. Article
  15. Review
  16. Small Airways Disease, Biomarkers and COPD: Where are We?International journal of chronic obstructive pulmonary disease
    Review
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

5 authors.

Tracy J DoylePulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA.
Victor Pinto-PlataPulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA.
Danielle MorsePulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA.
Bartolome R CelliPulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA.
Ivan O RosasPulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA; Lovelace Respiratory Research Institute, Albuquerque NM. Electronic address: irosas@rics.bwh.harvard.edu.

Funding

RESPIRATORY RESEARCHT32HL007633 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI George R Washko · 1985 to 2026
$14.9M
Inhibitor of differentiation-1 mediates antifibrotic effects of carbon monoxideR01HL087122 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MORSE, ERIN DANIELLE · 2008 to 2012
$1.9M
"Biomarker signature in COPD"P50HL107165 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CELLI, BARTOLOME R, TESFAIGZI, YOHANNES · 2011 to 2012
$1.2M
Syndecan-2 and Clinical Progression of Idiopathic Pulmonary FibrosisK23HL087030 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSAS, IVAN O. · 2008 to 2012
$759k
NHLBI NIH HHS 5T32 HL007633-25NHLBI NIH HHS HL107165-01NHLBI NIH HHS K23 HL087030NHLBI NIH HHS P50 HL107165NHLBI NIH HHS R01 HL087122NHLBI NIH HHS T32 HL007633
6 · The paper itself

Abstract

Recent advances in the field of clinical biomarkers suggest that quantification of serum proteins could play an important role in the diagnosis, classification, prognosis, and treatment response of smoking-related parenchymal lung diseases. COPD and idiopathic pulmonary fibrosis (IPF), two common chronic progressive parenchymal lung diseases, share cigarette smoke exposure as a common dominant risk factor for their development. We have recently shown that COPD and interstitial lung disease may represent distinct outcomes of chronic tobacco use, whereas others have demonstrated that both diseases coexist in some individuals. In this perspective, we examine the potential role of peripheral blood biomarkers in predicting which individuals will develop COPD or IPF, as well as their usefulness in tracking disease progression and exacerbations. Additionally, given the current lack of sensitive and effective metrics to determine an individual's response to treatment, we evaluate the potential role of biomarkers as surrogate markers of clinical outcomes. Finally, we examine the possibility that changes in levels of select protein biomarkers can provide mechanistic insight into the common origins and unique individual susceptibilities that lead to the development of smoking-related parenchymal lung diseases. This discussion is framed by a consideration of the properties of ideal biomarkers for different clinical and research purposes and the best uses for those biomarkers that have already been proposed and investigated.

Indexed as

BiomarkersDisease ProgressionHumansLung Diseases, InterstitialPrognosisSmokingTobacco Smoke PollutionBiomarkersTobacco Smoke Pollution

Identifiers

PMID23032451
PMCPMC3465104

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.