Evidence map›Paper›PMID 33130220›Full record

ArticleInternational journal of pharmaceutics2020

Characterization of excipient enhanced growth (EEG) tobramycin dry powder aerosol formulations.

Amr Hassan, Dale Farkas, Worth Longest, Michael Hindle

Open access · greenAbstract read
In one paragraph

Article in International journal of pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-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

14 citing papers in PubMed, 24 citations in OpenAlex.

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  11. Journal of aerosol medicine and pulmonary drug delivery · 2022
    Article
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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 at 1 institution in 1 country.

Amr HassanDepartment of Pharmaceutics, Virginia Commonwealth University, Richmond, VA, USA. Electronic address: aahassan2@vcu.edu.
Dale FarkasDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA, USA.
Worth LongestDepartment of Pharmaceutics, Virginia Commonwealth University, Richmond, VA, USA; Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA, USA.
Michael HindleDepartment of Pharmaceutics, Virginia Commonwealth University, Richmond, VA, USA.
Virginia Commonwealth University · US

Funding

High Efficiency Delivery of Surfactant Aerosols to Infants without IntubationR01HL139673 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI HINDLE, MICHAEL, LONGEST, P. WORTH · 2018 to 2021
$2.8M
High Efficiency Inhalation Delivery of Tobramycin for Children with Cystic FibrosisR01HD087339 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI HINDLE, MICHAEL, LONGEST, P. WORTH · 2017 to 2021
$2.5M
NHLBI NIH HHS R01 HL139673NICHD NIH HHS R01 HD087339
6 · The paper itself

Abstract

Spray drying can be utilized to produce highly dispersible powder aerosol formulations. However, these formulations are known to be hygroscopic, leading to potential solid-state stability and aerosol performance issues. This study aims to investigate if control of the spray drying particle formation conditions could be employed to improve the solid-state stability and alter the aerosol performance of tobramycin EEG formulations. Eight formulations were prepared, each had the same drug:excipient ratio of 60%

Indexed as

ExcipientsTobramycinAdministration, InhalationAerosolsDry Powder InhalersParticle SizePowdersAerosolsExcipientsPowdersTobramycinAerosol performanceDry powder aerosolExcipient enhanced growthHygroscopic formulationL-leucineSolid-state stabilitySpray dryingTobramycin

Identifiers

PMID33130220
PMCPMC8040971
OpenAlexW3096452110

What OpenQuestion holds

Textmetadata
LicenceTDM
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.