Evidence map›Paper›PMID 29854841›Full record

ReviewJournal of immunology research2018

Lung Interstitial Macrophages: Past, Present, and Future.

Joey Schyns, Fabrice Bureau, Thomas Marichal

Open access · goldAbstract readReview
In one paragraph

Review in Journal of immunology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 1 pooled it
16.7field-weighted citation impact, top 1% 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

107 citing papers in PubMed, 1 synthesis or guideline pooled it, 156 citations in OpenAlex.

  1. [Pulmonary innate immune response in Sars-cov-2 infection]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2022
    Pooled it
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  17. Nanoparticle-Based Pulmonary Immune Engineering.Annual review of chemical and biomolecular engineering · 2025
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  20. Article

47 more citing papers are in PubMed but not listed here.

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.

Joey SchynsLaboratory of Cellular and Molecular Immunology, GIGA-Research, University of Liège, 4000 Liège, Belgium.ORCID 0000-0003-0012-4460
Fabrice BureauLaboratory of Cellular and Molecular Immunology, GIGA-Research, University of Liège, 4000 Liège, Belgium.ORCID 0000-0001-6264-4029
Thomas MarichalLaboratory of Cellular and Molecular Immunology, GIGA-Research, University of Liège, 4000 Liège, Belgium.ORCID 0000-0003-1688-6291
University of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For a long time, investigations about the lung myeloid compartment have been mainly limited to the macrophages located within the airways, that is, the well-known alveolar macrophages specialized in recycling of surfactant molecules and removal of debris. However, a growing number of reports have highlighted the complexity of the lung myeloid compartment, which also encompass different subsets of dendritic cells, tissue monocytes, and nonalveolar macrophages, called interstitial macrophages (IM). Recent evidence supports that, in mice, IM perform important immune functions, including the maintenance of lung homeostasis and prevention of immune-mediated allergic airway inflammation. In this article, we describe lung IM from a historical perspective and we review current knowledge on their characteristics, ontogeny, and functions, mostly in rodents. Finally, we emphasize some important future challenges for the field.

Indexed as

AnimalsHomeostasisHumansHypersensitivityInflammationLungMacrophagesMiceRespiratory SystemRodentia

Identifiers

PMID29854841
PMCPMC5952507
OpenAlexW2800236571

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.