Evidence map›Paper›PMID 27149370›Full record

ArticleAmerican journal of respiratory and critical care medicine2016

Plasma Surfactant Protein-D, Matrix Metalloproteinase-7, and Osteopontin Index Distinguishes Idiopathic Pulmonary Fibrosis from Other Idiopathic Interstitial Pneumonias.

Eric S White, Meng Xia, Susan Murray, Rachel Dyal, Candace M Flaherty, Kevin R Flaherty, Bethany B Moore, Ling Cheng, Tracy J Doyle, Julian Villalba and 4 more

Abstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 2 pooled it
–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

93 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Unveiling the role of circulating periostin in patients with idiopathic pulmonary fibrosis: A prognostic meta-analysis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
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33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Eric S White1 Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0000-0003-4060-8443
Meng Xia2 Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan.
Susan Murray2 Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan.
Rachel Dyal1 Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan.
Candace M Flaherty1 Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan.
Kevin R Flaherty1 Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan.
Bethany B Moore1 Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan.
Ling Cheng3 Center for International Health Research, Rhode Island Hospital, Brown University School of Medicine, Providence, Rhode Island.
Tracy J Doyle4 Division of Pulmonary and Critical Care and.
Julian Villalba4 Division of Pulmonary and Critical Care and.
Paul F Dellaripa5 Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Boston, Massachusetts; and.
Ivan O Rosas4 Division of Pulmonary and Critical Care and.
Jonathan D Kurtis3 Center for International Health Research, Rhode Island Hospital, Brown University School of Medicine, Providence, Rhode Island.
Fernando J Martinez6 Joan and Sanford Weill Department of Internal Medicine, Weill Cornell Medical College New York, New York.

Funding

Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHOI, MARY E · 2013 to 2025
$24.9M
Clinical Genetics and Screening for Pulmonary FibrosisR01HL130974 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GARY MATTHEW HUNNINGHAKE, Benjamin Alexander Raby · 2016 to 2026
$10.0M
CTRIP: Molecular phenotypes of rapidly progressive idiopathic pulmonary fibrosisRC2HL101740 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLAHERTY, KEVIN R, MARTINEZ, FERNANDO J · 2009 to 2010
$7.9M
Role of EIIIA fibronectin in pulmonary fibrosisR01HL085083 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WHITE, ERIC S · 2007 to 2011
$1.9M
Matrix biomarkers and compartmentalization in IPFR01HL109118 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WHITE, ERIC S · 2012 to 2015
$1.8M
Periostin Regulation of Lung FibrosisR01HL115618 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MOORE, BETHANY B. · 2013 to 2016
$1.6M
Clinical and Molecular Characteristics of Rheumatoid Arthritis-associated ILDK23HL119558 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DOYLE, TRACY JENNIFER · 2015 to 2018
$763k
NHLBI NIH HHS K23 HL119558NHLBI NIH HHS P01 HL114501NHLBI NIH HHS R01 HL085083NHLBI NIH HHS R01 HL109118NHLBI NIH HHS R01 HL115618NHLBI NIH HHS R01 HL130974NHLBI NIH HHS RC2 HL101740
6 · The paper itself

Abstract

rationaleIdiopathic pulmonary fibrosis (IPF) is a progressive, fatal interstitial lung disease (ILD) characterized by abnormal extracellular matrix (ECM) remodeling. We hypothesized that ECM remodeling might result in a plasma profile of proteins specific for IPF that could distinguish patients with IPF from other idiopathic ILDs.

objectivesTo identify biomarkers that might assist in distinguishing IPF from non-IPF ILD.

methodsWe developed a panel of 35 ECM, ECM-related, and lung-specific analytes measured in plasma from 86 patients with IPF (derivation cohort) and in 63 patients with IPF (validation cohort). Comparison groups included patients with rheumatoid arthritis-associated ILD (RA-ILD; n = 33), patients with alternative idiopathic ILDs (a-ILD; n = 41), and healthy control subjects (n = 127). Univariable and multivariable logistic regression models identified biomarkers that differentiated patients with IPF from those with a-ILD. Both continuous and diagnostic threshold versions of biomarkers were considered; thresholds were chosen to maximize summed diagnostic sensitivity and specificity in univariate receiver-operating characteristic curve analysis. A diagnostic score was created from the most promising analytes. MEASUREMENTS AND MAIN

resultsPlasma surfactant protein (SP)-D > 31 ng/ml, matrix metalloproteinase (MMP)-7 > 1.75 ng/ml, and osteopontin > 6 ng/ml each significantly distinguished patients with IPF from patients with a-ILD, both individually and in a combined index. The odds ratio for IPF when at least one analyte in the index exceeded the threshold was 4.4 (95% confidence interval, 2.0-9.7; P = 0.0003). When at least two analytes were elevated, the odds ratio for IPF increased to 5.0 (95% confidence interval, 2.2-11.5; P = 0.0002).

conclusionsA biomarker index of SP-D, MMP-7, and osteopontin enhanced diagnostic accuracy in patients with IPF compared with those with non-IPF ILD. Our data suggest that this biomarker index may improve diagnostic confidence in IPF.

Indexed as

BiomarkersCohort StudiesDiagnosis, DifferentialFemaleHumansIdiopathic Interstitial PneumoniasIdiopathic Pulmonary FibrosisMaleMatrix Metalloproteinase 7Middle AgedOsteopontinPulmonary Surfactant-Associated Protein DROC CurveSensitivity and SpecificityBiomarkersMatrix Metalloproteinase 7OsteopontinPulmonary Surfactant-Associated Protein Dbiomarkerfibrosisplasma

Identifiers

PMID27149370
PMCPMC5114439

What OpenQuestion holds

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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.