Evidence map›Paper›PMID 30233877›Full record

ArticleJournal of thoracic disease2018

Pulmonary mechanics and gas exchange characteristics in uncommon etiologies of acute respiratory distress syndrome.

Richard H Kallet, Kelly Ho, Michael S Lipnick, Michael A Matthay

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Article in Journal of thoracic disease, 2018. 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
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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

4 authors.

Richard H KalletRespiratory Care Services, Department of Anesthesia and Perioperative Care, University of California San Francisco at Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA.
Kelly HoRespiratory Care Services, Department of Anesthesia and Perioperative Care, University of California San Francisco at Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA.
Michael S LipnickCritical Care Division, Department of Anesthesia and Perioperative Care, University of California San Francisco at Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA.
Michael A MatthayCardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommon causes of acute respiratory distress syndrome (ARDS) include pneumonia, aspiration, non-pulmonary sepsis and trauma. Little is known about pulmonary mechanics and gas exchange in less-common etiologies of ARDS, which comprises 12-23% of cases. Our hospital's ARDS quality assurance database contained a substantial number of these cases. This descriptive study examines the pulmonary mechanics, and gas exchange characteristics of this diverse cohort of ARDS subjects.

methodsBetween March 2010 and April 2017 we identified 94 subjects with less common etiologies of ARDS who had dead space fraction (V

resultsThe majority of less common ARDS were from indirect sources (79%) with 9% attributed to direct causes and 11% idiopathic. Because of the small sample sizes, there were no differences in pulmonary mechanics or gas exchange between subgroups classified as indirect, direct and idiopathic, or between subgroups sharing common lung injury mechanisms. Nevertheless, salient trends were apparent particularly in C

conclusionsWithin a diverse cohort having less common presentations of ARDS, there was apparent variability in the distribution of C

Indexed as

Acute respiratory distress syndrome (ARDS)pulmonary dead-space fractionrespiratory system compliance (CRS)

Identifiers

PMID30233877
PMCPMC6129894

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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.