Evidence map›Paper›PMID 21896522›Full record

ReviewChest2011

Aerosol therapy for obstructive lung diseases: device selection and practice management issues.

Michael W Sims

Open access · bronzeAbstract readReview
In one paragraph

Review in Chest, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Bioscience reports · 2018
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Nebulization of extracellular vesicles: A promising small RNA delivery approach for lung diseases.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. 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.

Michael W SimsDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA. Electronic address: michael.sims@uphs.upenn.edu.
University of Pennsylvania · US

Funding

Surfactant protein D as Modulator of Lung Inflammation and COPD PathogenesisK23HL093303 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI SIMS, MICHAEL WILLIAM · 2009 to 2012
$627k
NHLBI NIH HHS HL093303NHLBI NIH HHS K23 HL093303
6 · The paper itself

Abstract

Inhaled aerosol therapies are the mainstay of treatment of obstructive lung diseases. Aerosol devices deliver drugs rapidly and directly into the airways, allowing high local drug concentrations while limiting systemic toxicity. While numerous clinical trials, literature reviews, and expert panel guidelines inform the choice of inhalational drugs, deciding which aerosol device (ie, metered-dose inhaler, nebulizer, or dry powder inhaler) best suits a given patient and clinical setting can seem arbitrary and confusing. Similar confusion regarding Current Procedural Terminology (CPT) coding for administration of aerosol therapies can lead to lost revenue from underbilling and wasted administrative effort handling denied claims. This article reviews the aerosol devices currently available, discusses their relative merits in various clinical settings, and summarizes appropriate CPT coding for aerosol therapy.

Indexed as

Current Procedural TerminologyNebulizers and VaporizersAdministration, InhalationAsthmaBronchodilator AgentsDry Powder InhalersEquipment DesignHumansInsurance Claim ReportingLung Diseases, ObstructiveMedicareMetered Dose InhalersUnited StatesBronchodilator Agents

Identifiers

PMID21896522
PMCPMC3204795
OpenAlexW2111901644

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.