Evidence map›Paper›PMID 29451844›Full record

ArticleJournal of aerosol medicine and pulmonary drug delivery2018

Pulmonary Delivery of Therapeutic and Diagnostic Gases.

Warren M Zapol, H Cecil Charles, Andrew R Martin, Rui C Sá, Binglan Yu, Fumito Ichinose, Neil MacIntyre, Joseph Mammarappallil, Richard Moon, John Z Chen and 4 more

Abstract read
In one paragraph

Article in Journal of aerosol medicine and pulmonary drug delivery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

14 authors at 6 institutions in 2 countries.

Warren M Zapol1 Anesthesia Center for Critical Care Research , Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
H Cecil Charles2 Duke Image Analysis Laboratory, Center for Advanced MR Development, Department of Radiology, Duke University School of Medicine , Durham, North Carolina.
Andrew R Martin3 Department of Mechanical Engineering, University of Alberta , Edmonton, Canada .
Rui C Sá4 Department of Medicine, University of California , San Diego, San Diego, California.
Binglan Yu1 Anesthesia Center for Critical Care Research , Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Fumito Ichinose1 Anesthesia Center for Critical Care Research , Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Neil MacIntyre5 Department of Pulmonology, Duke University School of Medicine , Durham, North Carolina.
Joseph Mammarappallil6 Department of Radiology, Duke University School of Medicine , Durham, North Carolina.
Richard Moon7 Department of Anesthesiology, Duke University School of Medicine , Durham, North Carolina.
John Z Chen3 Department of Mechanical Engineering, University of Alberta , Edmonton, Canada .
Eric T Geier4 Department of Medicine, University of California , San Diego, San Diego, California.
Chantal Darquenne4 Department of Medicine, University of California , San Diego, San Diego, California.
G Kim Prisk4 Department of Medicine, University of California , San Diego, San Diego, California.
Ira Katz9 Medical R&D, Air Liquide Santé International , Les Loges-en-Josas, France .
University of California, San Diego · USDuke University · USMassachusetts General Hospital · USUniversity of Alberta · CAHarvard University · USLafayette College · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007198 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHI, NEIL C, INSEL, PAUL A · 1985 to 2024
$29.3M
Human Lung Regional Ventilation Defect Severity Measured by Fluorine-19 Gas MRIR01HL111294 · NHLBI · DUKE UNIVERSITY · PI CHARLES, HAL CECIL · 2012 to 2016
$2.9M
NHLBI NIH HHS R01 HL111294NIGMS NIH HHS T32 GM007198
6 · The paper itself

Abstract

The 21st Congress for the International Society for Aerosols in Medicine included, for the first time, a session on Pulmonary Delivery of Therapeutic and Diagnostic Gases. The rationale for such a session within ISAM is that the pulmonary delivery of gaseous drugs in many cases targets the same therapeutic areas as aerosol drug delivery, and is in many scientific and technical aspects similar to aerosol drug delivery. This article serves as a report on the recent ISAM congress session providing a synopsis of each of the presentations. The topics covered are the conception, testing, and development of the use of nitric oxide to treat pulmonary hypertension; the use of realistic adult nasal replicas to evaluate the performance of pulsed oxygen delivery devices; an overview of several diagnostic gas modalities; and the use of inhaled oxygen as a proton magnetic resonance imaging (MRI) contrast agent for imaging temporal changes in the distribution of specific ventilation during recovery from bronchoconstriction. Themes common to these diverse applications of inhaled gases in medicine are discussed, along with future perspectives on development of therapeutic and diagnostic gases.

Indexed as

Drug Delivery SystemsNebulizers and VaporizersAdministration, InhalationAdultAerosolsContrast MediaGasesHumansHypertension, PulmonaryLungMagnetic Resonance ImagingNitric OxideOxygenAerosolsContrast MediaGasesNitric OxideOxygenin vitro upper airway modellung imagingmagnetic resonance imaging (MRI)nitric oxideoxygenpulmonary hypertension

Identifiers

PMID29451844
PMCPMC6421997
OpenAlexW2788757939

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.