Evidence map›Paper›PMID 29801490›Full record

ArticleRespiratory research2018

Sequential broncho-alveolar lavages reflect distinct pulmonary compartments: clinical and research implications in lung transplantation.

Liran Levy, Stephen C Juvet, Kristen Boonstra, Lianne G Singer, Sassan Azad, Betty Joe, Marcelo Cypel, Shaf Keshavjee, Tereza Martinu

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

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  8. Observational
  9. International Society for Heart and Lung Transplantation consensus statement for the standardization of bronchoalveolar lavage in lung transplantation.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2020
    Article
  10. New Clue: Prediction from Cell-Free DNA.Journal of clinical medicine · 2020
    Article
  11. Article
  12. 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

9 authors at 3 institutions in 1 country.

Liran LevyToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Stephen C JuvetToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Kristen BoonstraToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Lianne G SingerToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Sassan AzadToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Betty JoeToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Marcelo CypelToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Shaf KeshavjeeToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Tereza MartinuToronto Lung Transplant Program, University Health Network, University of Toronto, Toronto, ON, Canada. tereza.martinu@uhn.ca.
University Health Network · CAUniversity of Toronto · CAToronto General Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBronchoalveolar lavage (BAL) has proven to be very useful to monitor the lung allograft after transplantation. In addition to allowing detection of infections, multiple BAL analytes have been proposed as potential biomarkers of lung allograft rejection or dysfunction. However, BAL collection is not well standardized and differences in BAL collection represent an important source of variation. We hypothesized that there are systematic differences between sequential BALs that are relevant to BAL analysis.

methodsAs part of 126 consecutive bronchoscopies in lung transplant recipients, two sequential BALs (BAL1 and BAL2) were performed in one location during each bronchoscopy by instilling and suctioning 50 ml of normal saline twice into separate containers. Cell concentration, viability and differentials, Surfactant Protein-D (SP-D), Club Cell Secretory Protein (CCSP), and levels of CXCL10, IL-10, CCL2, CCL5, VEGF-C, RAGE, CXCL9, CXCL1, IL-17A, IL-21, PDGF, and GCSF were compared between BAL1 and BAL2.

resultsTotal cell concentration did not differ between BAL1 and BAL2; however, compared to BAL2, BAL1 had more dead cells, epithelial cells, neutrophils, and higher concentrations of airway epithelium-derived CCSP and inflammatory markers. BAL2 had a higher concentration of SP-D compared to BAL1.

conclusionIn this study performed in lung transplant recipients, we show that sequential BALs represent different lung compartments and have distinct compositions. BAL1 represents the airway compartment with more epithelial cells, neutrophils, and epithelium-derived CCSP. Conversely, BAL2 samples preferentially the distal bronchoalveolar space with greater cell viability and higher SP-D. Our findings illustrate how the method of BAL collection can influence analyte concentrations and further emphasize the need for a standardized approach in translational research involving BAL samples.

Indexed as

AdultAgedBiomedical ResearchBronchoalveolar LavageBronchoalveolar Lavage FluidBronchoscopyCohort StudiesFemaleHumansLungLung TransplantationMaleMiddle AgedRetrospective StudiesTime FactorsBronchoalveolar lavageCellsCytokinesLung transplantProteins

Identifiers

PMID29801490
PMCPMC5970521
OpenAlexW2806541585

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.