Evidence map›Paper›PMID 29227024›Full record

ArticleThe clinical respiratory journal2018

Blood biomarkers as predictors of long-term mortality in COPD.

Angelico Mendy, Erick Forno, Theophile Niyonsenga, Janvier Gasana

Open access · greenAbstract readComparative Study
In one paragraph

Article in The clinical respiratory journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 61 citations in OpenAlex.

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  6. Epigenetic age acceleration and mortality risk prediction in U.S. adults.medRxiv : the preprint server for health sciences · 2024
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  16. Comorbidities in childhood-onset and adult-onset asthma.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2022
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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

4 authors at 4 institutions in 3 countries.

Angelico MendyDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.ORCID http://orcid.org/0000-0002-8227-6830
Erick FornoDivision of Pediatric Pulmonary Medicine, Allergy, and Immunology, Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh, Pittsburgh, Pennsylvania.
Theophile NiyonsengaCentre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia.
Janvier GasanaDepartment of Environmental & Occupational Health, Faculty of Public Health, Kuwait University, Jabriya, Kuwait.
Kuwait University · KWUniversity of Iowa · USUniversity of Pittsburgh · USUniversity of South Australia · AU

Funding

Obesity and Asthma Subphenotypes and Underlying Genetic and Genomic PathwaysK08HL125666 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FORNO, ERICK · 2015 to 2018
$589k
NHLBI NIH HHS K08 HL125666
6 · The paper itself

Abstract

backgroundBlood biomarkers are easily accessible and might reflect chronic obstructive pulmonary disease (COPD) activity.

aimThe aim of this study was to determine whether a panel of blood biomarkers [C-reactive protein (CRP), neutrophils, eosinophils, albumin and vitamin D] could predict mortality in COPD.

methodsWe analyzed data from 431 COPD participants to the 2007-2010 National Health and Nutrition Examination Surveys who were followed for a median time of 36 months. COPD was defined as post-bronchodilator forced expiratory volume in 1 second (FEV1) and forced vital capacity ratio <0.70. Weibull survival analysis adjusted for covariates was performed to calculate the risk of mortality associated with the biomarkers, and C-statistics was used to assess their added predictive value.

resultsDuring follow-up, 38 of the 431 participants died. Participants with high CRP, eosinophil count <2%, hypoalbuminemia and hypovitaminosis D had worse baseline FEV1 and subsequently higher mortality compared to controls. In adjusted analysis, increasing CRP [hazard ratio (HR): 4.45, 95% CI: 1.91-10.37] and neutrophil count (HR: 1.07, 95% CI: 1.03-1.11) as well as decreasing eosinophil count (HR: 7.03, 95% CI: 2.05-24.01) were associated with an increased risk of mortality. The addition of CRP with eosinophil and/or neutrophil count significantly improved a base model for the prediction of mortality which included age, gender, race/ethnicity, body mass index, smoking, poverty income ratio, asthma, diabetes, hypertension and history of stroke or myocardial infarction.

conclusionHigh CRP and neutrophils as well as low eosinophils are predictive of poor COPD prognosis. They also add significant value to prediction models of mortality in COPD.

Indexed as

PrognosisAdultAgedAged, 80 and overBiomarkersC-Reactive ProteinCross-Sectional StudiesEosinophilsFemaleForced Expiratory VolumeHumansMaleMiddle AgedNeutrophilsPredictive Value of TestsPulmonary Disease, Chronic ObstructiveBiomarkersC-Reactive ProteinSerum Albumin, HumanVitamin Dbiologic markerschronic obstructive pulmonary diseaseprognosis

Identifiers

PMID29227024
PMCPMC5991987
OpenAlexW2773432295

What OpenQuestion holds

Textmetadata
LicenceTDM
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.