Evidence map›Paper›PMID 32825299›Full record

ArticleJournal of personalized medicine2020

CASTER: Cross-Sectional Asthma STEroid Response Measurement.

Alvin T Kho, Joanne Sordillo, Ann Chen Wu, Michael H Cho, Sunita Sharma, Anshul Tiwari, Jessica Lasky-Su, Scott T Weiss, Kelan G Tantisira, Michael J McGeachie

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Alvin T KhoComputational Health Informatics Program, Boston Children's Hospital, Boston, MA 02215, USA.
Joanne SordilloPRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA.
Ann Chen WuPRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0003-0599-9063
Michael H ChoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.
Sunita SharmaDepartment of Medicine-Pulmonary Sciences and Critical Care Medicine, University of Colorado Denver, Aurora, CO 80010, USA.
Anshul TiwariChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.
Jessica Lasky-SuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0001-6236-4705
Scott T WeissChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.
Kelan G TantisiraChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.
Michael J McGeachieChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.
Brigham and Women's Hospital · USHarvard University · USBoston Children's Hospital · USUniversity of Colorado Denver · US

Funding

Integrative Metabolomics of Asthma SeverityR01HL123915 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A · 2014 to 2023
$7.0M
Asthma Exacerbations and MicroRNA prediction: Treatment Response in an Underserved Ethnicity (AEM-TRUE)R01HL139634 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MCGEACHIE, MICHAEL JOHN · 2018 to 2022
$4.3M
Mechanistic insights into asthma pathogenesis through the integration of asthma genes, risk exposures, and metabolomicsR01HL141826 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A · 2018 to 2021
$3.4M
NHLBI NIH HHS R01 HL123915NHLBI NIH HHS R01 HL139634NHLBI NIH HHS R01 HL141826NIH HHS HL139634
6 · The paper itself

Abstract

Asthma patient response to inhaled corticosteroids (ICS) is variable and difficult to quantify. We aimed to define a measure of steroid response suitable for pharmacogenetic research in longitudinal and cross-sectional cohorts. Using longitudinal data from the Childhood Asthma Management Program (CAMP) asthma cohort, we defined the Cross-sectional Asthma STEroid Response (CASTER) measure in cross-sectional data. We then applied this to cross-sectional slices of four independent asthma cohorts: The Improving Asthma Control Trial (IMPACT), the Salmeterol or Corticosteroids Study (SOCS), the Pediatric Asthma Controller Trial (PACT), and the Genetics of Asthma in Costa Rica Study (GACRS). CASTER achieved high accuracy on the childhood asthma cohorts: GACRS, PACT, and also on cross-sectional data from CAMP (AUCs 82%, 71%, 63%, respectively). This demonstrates that select cross-sectional clinical information is sufficient to identify good and poor responders to ICS treatment in childhood asthma. Thus, CASTER represents a major improvement in the usability and applicability of steroid response measures in asthma research.

Indexed as

asthmainhaled corticosteroidspharmacogeneticssteroid response

Identifiers

PMID32825299
PMCPMC7564544
OpenAlexW3065524666

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.