Evidence map›Paper›PMID 24450485›Full record

ArticleCurrent medical research and opinion2014

Statins and asthma: where we stand, and the next critical steps in research.

Amir A Zeki

Open access · greenAbstract readEditorialComment
In one paragraph

Article in Current medical research and opinion, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Sterols and immune mechanisms in asthma.The Journal of allergy and clinical immunology · 2023
    Review
  2. Article
  3. Innovations in asthma therapy: is there a role for inhaled statins?Expert review of respiratory medicine · 2018
    Review
  4. [Reasearch progress on the role of neutrophils in asthma].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2016
    Review
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Amir A ZekiUniversity of California , Davis, Sacramento, CA , USA.
University of California, Davis · US

Funding

The Modulation of Eotaxin Expression by Statins: Implications for Asthma TherapyK08HL114882 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ZEKI, AMIR A. · 2014 to 2016
$435k
NHLBI NIH HHS K08 HL114882
6 · The paper itself

Abstract

Asthma remains a formidable public health problem with ever increasing annual costs and prevalence. There are 300 million people with asthma worldwide. Per the Centers for Disease Control and Prevention, there are over 25 million Americans with asthma (both children and adults), i.e. one in 12 people have asthma, and this is increasing annually. Asthma results in approximately half a million hospitalizations and two million emergency department (ED) visits per year. In 2007 alone, 185 children and 3262 adults died from asthma, i.e. nine to ten patients die a day from asthma. This resulted in an annual cost of $56 billion in medical costs, lost work/school days, and early deaths. Therefore, we need novel and innovative therapies for asthma. In this Editorial, I review results from a study by Tse et al. evaluating the therapeutic potential of statins, within the context of our current state of knowledge. I review observational studies and clinical trials, highlight some potential pitfalls in clinical trial design, and discuss important questions for future research.

Indexed as

Adrenal Cortex HormonesAsthmaFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleAdrenal Cortex HormonesHydroxymethylglutaryl-CoA Reductase InhibitorsAsthmaExacerbationInhaled corticosteroidsStatinStatins

Identifiers

PMID24450485
PMCPMC6020149
OpenAlexW1974436702

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.