Evidence map›Paper›PMID 26018813›Full record

ArticleRespiratory research2015

Measurement of C-reactive protein, procalcitonin and neutrophil elastase in saliva of COPD patients and healthy controls: correlation to self-reported wellbeing parameters.

Neil Patel, John Belcher, Gary Thorpe, Nicholas R Forsyth, Monica A Spiteri

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  7. Early detection and prediction of acute exacerbation of chronic obstructive pulmonary disease.Chinese medical journal pulmonary and critical care medicine · 2023
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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

5 authors at 2 institutions in 1 country.

Neil PatelDepartment of Respiratory Medicine, University Hospitals of North Midlands NHS Trust, Ground Floor, Trent Building, Newcastle Road, Stoke-on-Trent, ST4 6QG, UK. npuk@hotmail.co.uk.
John BelcherSchool of Computing and Mathematics, Keele University, Stoke-on-Trent, Staffordshire.
Gary ThorpeDepartment of Respiratory Medicine, University Hospitals of North Midlands NHS Trust, Ground Floor, Trent Building, Newcastle Road, Stoke-on-Trent, ST4 6QG, UK.
Nicholas R ForsythInstitute of Science and Technology Medicine, Keele University, Stoke-on-Trent, Staffordshire.
Monica A SpiteriDepartment of Respiratory Medicine, University Hospitals of North Midlands NHS Trust, Ground Floor, Trent Building, Newcastle Road, Stoke-on-Trent, ST4 6QG, UK.
University Hospitals of North Midlands NHS Trust · GBKeele University · GB

Funding

Department of Health II-LA-0814-20003
6 · The paper itself

Abstract

backgroundSaliva is increasingly promoted as an alternative diagnostic bio-sample to blood; however its role in respiratory disease requires elucidation. Our aim was to investigate whether C-reactive protein (CRP), procalcitonin (PCT) and neutrophil elastase (NE) could be measured in unstimulated whole saliva, and to explore differences between COPD patients and controls with normal lung function. We also determined the relationship between these salivary biomarkers and self-reported COPD-relevant metrics.

methodsSalivary CRP, PCT and NE levels were measured at each of 3 visits over a 14-day period alongside spirometry and a daily self-assessment dairy in 143 subjects: 20 never-smokers and 25 smokers with normal spirometry; 98 COPD patients [GOLD Stage I, 16; Stage II, 32; Stage III, 39; Stage IV, 11]. Twenty-two randomly selected subjects provided simultaneous blood samples.

resultsLevels of each salivary biomarker could distinguish between the above cohorts. Significant differences remained for salivary CRP and NE (p < 0.05) following adjustment for age, gender, sampling time, gum disease and total co-morbidities; but not for BMI except for salivary NE, which remained higher in smokers compared to non-smokers and stable COPD subjects (p < 0.001). Patients with acute COPD exacerbations had a median increase in all 3 salivary biomarkers (p < 0.001); CRP: median 5.74 ng/ml, [interquartile range (IQR) 2.86-12.25], PCT 0.38 ng/ml, [IQR 0.22-0.94], and NE 539 ng/ml, [IQR 112.25-1264]. In COPD patients, only salivary CRP and PCT levels correlated with breathing scores (r = 0.14, p < 0.02; r = 0.13, p < 0.03 respectively) and sputum features but not with activities of daily living. Salivary CRP and PCT concentrations strongly correlated with serum counterparts [r = 0.82, (95% CI: 0.72-0.87), p < 0.001 by Spearman's; and r = 0.53, (95% CI: 0.33-0.69), p < 0.006 respectively]; salivary NE did not.

conclusionsCRP, PCT and NE were reliably and reproducibly measured in saliva, providing clinically-relevant information on health status in COPD; additionally NE distinguished smoking status. All 3 salivary biomarkers increased during COPD exacerbations, with CRP and PCT correlating well with patient-derived clinical metrics. These results provide the conceptual basis for further development of saliva as a viable bio-sample in COPD monitoring and exacerbation management.

Indexed as

Self ReportAdultAgedBiomarkersCalcitoninCalcitonin Gene-Related PeptideCohort StudiesC-Reactive ProteinFemaleHumansLeukocyte ElastaseMaleMiddle AgedProtein PrecursorsPulmonary Disease, Chronic ObstructiveRandom AllocationBiomarkersCALCA protein, humanCalcitoninCalcitonin Gene-Related PeptideC-Reactive ProteinLeukocyte ElastaseProtein Precursors

Identifiers

PMID26018813
PMCPMC4451749
OpenAlexW2168438168

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.