Evidence map›Paper›PMID 32231363›Full record

ArticlePLoS medicine2020

Prescribing systemic steroids for acute respiratory tract infections in United States outpatient settings: A nationwide population-based cohort study.

Kueiyu Joshua Lin, Evan Dvorin, Aaron S Kesselheim

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06472219 (Early Prednisolone for Suspected Community-acquired Acute Respiratory Tract Infection), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 11% 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.

NCT06472219 phase3recruitingnot on this mapstarted 2024, after this paper: background citation

Early Prednisolone for Suspected Community-acquired Acute Respiratory Tract Infection (PREDICATE): A Double-blind, Randomised, Multi-centre, Adaptive Platform, Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2024 to 2028Enrolled1,300ConditionsRespiratory Tract InfectionsArmsPrednisolone 30 mg, Placebo
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Advances in community-acquired pneumonia.Therapeutic advances in infectious disease
    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

3 authors at 2 institutions in 1 country.

Kueiyu Joshua LinDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0003-4564-3715
Evan DvorinOchsner Health System, Jefferson Parish, Louisiana, United States of America.
Aaron S KesselheimDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-8867-2666
Brigham and Women's Hospital · USOchsner Health System · US

Funding

Developing scalable algorithms to incorporate unstructured electronic health records for causal inference based on real-world dataR01LM013204 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI LIN, JOSHUA K · 2020 to 2024
$2.7M
NLM NIH HHS R01 LM013204
6 · The paper itself

Abstract

backgroundEvidence and guidelines do not support use of systemic steroids for acute respiratory tract infections (ARTIs), but such practice appears common. We aim to quantify such use and determine its predictors. METHODS AND

findingsWe conducted a cohort study based on a large United States national commercial claims database, the IBM MarketScan, to identify patients aged 18-64 years with an ARTI diagnosis (acute bronchitis, sinusitis, pharyngitis, otitis media, allergic rhinitis, influenza, pneumonia, and unspecified upper respiratory infections) recorded in ambulatory visits from 2007 to 2016. We excluded those with systemic steroid use in the prior year and an extensive list of steroid-indicated conditions, including asthma, chronic obstructive pulmonary disease, and various autoimmune diseases. We calculated the proportion receiving systemic steroids within 7 days of the ARTI diagnosis and determined its significant predictors. We identified 9,763,710 patients with an eligible ARTI encounter (mean age 39.6, female 56.0%) and found 11.8% were prescribed systemic steroids (46.1% parenteral, 47.3% oral, 6.6% both). All ARTI diagnoses but influenza predicted receiving systemic steroids. There was high geographical variability: the adjusted odds ratio (aOR) of receiving parenteral steroids was 14.48 (95% confidence interval [CI] 14.23-14.72, p < 0.001) comparing southern versus northeastern US. The corresponding aOR was 1.68 (95% CI 1.66-1.69, p < 0.001) for oral steroids. Other positive predictors for prescribing included emergency department (ED) or urgent care settings (versus regular office), otolaryngologist/ED doctors (versus primary care), fewer comorbidities, and older patient age. There was an increasing trend from 2007 to 2016 (aOR 1.93 [95% CI 1.91-1.95] comparing 2016 to 2007, p < 0.001). Our findings are based on patients between 18 and 64 years old with commercial medical insurance and may not be generalizable to older or uninsured populations.

conclusionsIn this study, we found that systemic steroid use in ARTI is common with a great geographical variability. These findings call for an effective education program about this practice, which does not have a clear clinical net benefit.

Indexed as

Acute DiseaseAdultCohort StudiesFemaleGeographyHumansInappropriate PrescribingMaleMiddle AgedOutpatientsPractice Patterns, Physicians'Respiratory Tract InfectionsSteroidsUnited StatesYoung AdultSteroids

Identifiers

PMID32231363
PMCPMC7108689
OpenAlexW3013608200

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.