Evidence map›Paper›PMID 23681903›Full record

ArticleInflammation2013

Predicting sputum eosinophilia in exacerbations of COPD using exhaled nitric oxide.

Szabolcs Soter, Imre Barta, Balazs Antus

Abstract read
PubMed Publisher
In one paragraph

Article in Inflammation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  14. Observational
  15. Review
  16. Emerging pharmaceutical therapies for COPD.International journal of chronic obstructive pulmonary disease · 2017
    Review
  17. Correlation between fractional exhaled nitric oxide and sputum eosinophilia in exacerbations of COPD.International journal of chronic obstructive pulmonary disease · 2017
    Article
  18. Review
  19. Article
  20. Article
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

3 authors at 1 institution in 1 country.

Szabolcs SoterDepartment of Pulmonology, National Koranyi Institute of TB and Pulmonology, Piheno ut 1, 1121, Budapest, Hungary.
Imre Barta
Balazs Antus
Országos Korányi Tbc és Pulmonológiai Intézet · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fractional exhaled nitric oxide (FENO) may be a pulmonary biomarker in chronic obstructive pulmonary disease (COPD). In this prospective study, the relationship between FENO and airway inflammation was assessed in COPD exacerbations. FENO and lung function were measured, and sputum was collected from 49 ex-smoking COPD patients, first at the time of hospital admission and again at discharge following treatment. There was a significant positive correlation between the percentage of sputum eosinophils and FENO concentrations, both at exacerbation (r = 0.593, p < 0.001) and discharge (r = 0.337, p = 0.044). The increase in forced expiratory volume in one second (FEV(1)) after treatment was greater in patients with sputum eosinophilia (ΔFEV(1) 0.35 ± 0.12 vs. 0.13 ± 0.04 L, p = 0.046), and FENO was a strong predictor of sputum eosinophilia (area under the receiver operating characteristic curve, 0.89). The optimum cut point was 19 parts per billion (sensitivity: 90 %; specificity: 74 %). Our data suggest that FENO is a good surrogate marker of eosinophilic inflammation in COPD patients with exacerbations.

Indexed as

AgedBiomarkersEosinophiliaExhalationFemaleForced Expiratory VolumeHumansInflammationLeukocyte CountLungMaleNitric OxideProspective StudiesPulmonary Disease, Chronic ObstructiveRespiratory Function TestsSmokingBiomarkersNitric Oxide

Identifiers

PMID23681903
OpenAlexW2092055629

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.