Evidence map›Paper›PMID 27163945›Full record

ReviewAmerican journal of respiratory cell and molecular biology2016

Mouse Modeling of Obese Lung Disease. Insights and Caveats.

Benjamin T Suratt

Abstract readReview
In one paragraph

Review in American journal of respiratory cell and molecular biology, 2016. 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
2.3field-weighted citation impact, top 12% 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, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The Role of Obesity in the Immunopathogenesis of COVID-19 Respiratory Disease and Critical Illness.American journal of respiratory cell and molecular biology · 2021
    Review
  6. Article
  7. Article
  8. Future Research Directions in Pneumonia. NHLBI Working Group Report.American journal of respiratory and critical care medicine · 2018
    Article
  9. Integrative Physiology of Pneumonia.Physiological reviews · 2018
    Review
  10. Article
  11. Article
  12. Review
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

1 author at 1 institution in 1 country.

Benjamin T SurattUniversity of Vermont College of Medicine, Department of Medicine, Burlington, Vermont.ORCID 0000-0002-4946-029X
University of Vermont · US

Funding

Translational Research in Lung Biology and DiseaseP30GM103532 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI IRVIN, CHARLES G · 2012 to 2016
$3.7M
Developing Obese Mouse Models of Pseudomonas Aeruginosa PneumoniaR03AI117069 · NIAID · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI WARGO, MATTHEW J · 2015 to 2016
$154k
NIAID NIH HHS R03 AI117069NIGMS NIH HHS P30 GM103532
6 · The paper itself

Abstract

As the obesity epidemic has worsened, its impact on lung health and disease has become progressively evident. The interactions between obesity and the accompanying metabolic syndrome and diseases such as asthma, pneumonia, and acute respiratory distress syndrome (ARDS) have proven complex and often counterintuitive in human studies. Hence, there is a growing need for relevant experimental approaches to understand the interactions between obesity and the lung. To this end, researchers have increasingly exploited mouse models combining both obesity and lung diseases, including ARDS, pneumonia, and asthma. Such models have both complemented and advanced the understanding we have gained from clinical studies and have allowed elegant dissections of obesity's effects on the pathogenesis of lung disease. Yet these models come with several critically important caveats that we must reflect on when interpreting their results.

Indexed as

AnimalsDisease Models, AnimalLung DiseasesMiceObesity

Identifiers

PMID27163945
PMCPMC4979373
OpenAlexW2359840338

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.