Evidence map›Paper›PMID 19561686›Full record

ArticleThe western journal of emergency medicine2007

Asthma: Effect of genotype on Response to Therapy in the Emergency Department.

Sean O Henderson, Vannita Simma-Chiang, Chi Lee, Kirsten Calder, Wendy J Mack

Abstract read
In one paragraph

Article in The western journal of emergency medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Holy grail, genes and Number Needed to Treat.The western journal of emergency medicine · 2007
    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

5 authors.

Sean O HendersonDepartment of Emergency Medicine, Keck School of Medicine of the University of Southern California.
Vannita Simma-Chiang
Chi Lee
Kirsten Calder
Wendy J Mack

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe examined the effect of two beta2-adrenoreceptor (beta2AR) polymorphisms (A46G and C79G) in asthmatics presenting to the Emergency Department (ED) in relation to their response to standard therapy measured by change in Forced Expiratory Volume at one second (FEV1). Our hypothesis was that the polymorphisms in the beta2AR gene would predict clinical response to therapy with 46G and 79C displaying decreased response to inhaled therapy.

methodsThis was a pilot feasibility study of a convenience sample of patients seen in the ED for acute exacerbation of asthma. Baseline data collected included: age, gender, ethnicity, vital signs, baseline FEV1, body mass index (BMI), smoking history and medications taken prior to arrival to the ED. Patients received standard ED care and FEV1 was measured after each treatment. Blood was taken and genotyped.

resultsFifty-three patients were enrolled over a three-month period. Using mean improvement in FEV1 from baseline to the first treatment as the primary outcome of interest, we performed multivariable linear regression analyses, with the FEV1 change as the dependent variable. When modeled as an ordinal covariate representing the number of G alleles present, there was a significant positive trend for the C79G locus (p=0.035). Those who were GG homozygotes had a 0.284 L/min improvement in FEV1 (31%) after their initial albuterol treatment compared to 0.123 L/min (12%) in those who were CC homozygotes. This represents a 2.5 times relative difference and a 19% actual difference. Genotypes at the A46G locus were not associated with FEV1 change.

conclusionIn this pilot study of ED patients with acute asthma exacerbation, there was a significant effect of genotype on response to therapy.

Identifiers

PMID19561686
PMCPMC2672218

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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.