Evidence map›Paper›PMID 26542371›Full record

ArticleBMC pulmonary medicine2015

Comparison of methods for the analysis of airway macrophage particulate load from induced sputum, a potential biomarker of air pollution exposure.

Hannah Jary, Jamie Rylance, Latifa Patel, Stephen B Gordon, Kevin Mortimer

Abstract readComparative Study
In one paragraph

Article in BMC pulmonary medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Hannah JaryLiverpool School of Tropical Medicine, Liverpool, UK. hannah.jary@liverpool.ac.uk.
Jamie RylanceLiverpool School of Tropical Medicine, Liverpool, UK. jamie.rylance@liverpool.ac.uk.
Latifa PatelAintree University Hospital, Liverpool, UK. latifa.b.patel@gmail.com.
Stephen B GordonLiverpool School of Tropical Medicine, Liverpool, UK. stephen.gordon@lstmed.ac.uk.
Kevin MortimerLiverpool School of Tropical Medicine, Liverpool, UK. kevin.mortimer@lstmed.ac.uk.

Funding

Medical Research Council MR/L002515/1Medical Research Council MR/L009242/1Wellcome Trust 100890
6 · The paper itself

Abstract

backgroundAir pollution is associated with a high burden or morbidity and mortality, but exposure cannot be quantified rapidly or cheaply. The particulate burden of macrophages from induced sputum may provide a biomarker. We compare the feasibility of two methods for digital quantification of airway macrophage particulate load.

methodsInduced sputum samples were processed and analysed using ImageJ and Image SXM software packages. We compare each package by resources and time required.

results13 adequate samples were obtained from 21 patients. Median particulate load was 0.38 μm(2) (ImageJ) and 4.0 % of the total cellular area of macrophages (Image SXM), with no correlation between results obtained using the two methods (correlation coefficient = -0.42, p = 0.256). Image SXM took longer than ImageJ (median 26 vs 54 mins per participant, p = 0.008) and was less accurate based on visual assessment of the output images. ImageJ's method is subjective and requires well-trained staff.

conclusionInduced sputum has limited application as a screening tool due to the resources required. Limitations of both methods compared here were found: the heterogeneity of induced sputum appearances makes automated image analysis challenging. Further work should refine methodologies and assess inter- and intra-observer reliability, if these methods are to be developed for investigating the relationship of particulate and inflammatory response in the macrophage.

Indexed as

Air PollutionInhalation ExposureAdultAgedAsthmaBiomarkersBronchiectasisEnvironmental ExposureFeasibility StudiesFemaleForced Expiratory VolumeHumansImage Processing, Computer-AssistedMacrophages, AlveolarMaleMiddle AgedBiomarkersParticulate Matter

Identifiers

PMID26542371
PMCPMC4635991

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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.