Evidence map›Paper›PMID 29679226›Full record

ArticleJournal of general internal medicine2018

National Estimates of Emergency Department Visits for Antibiotic Adverse Events Among Adults-United States, 2011-2015.

Andrew I Geller, Maribeth C Lovegrove, Nadine Shehab, Lauri A Hicks, Mathew R P Sapiano, Daniel S Budnitz

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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  12. Next Steps in Ambulatory Stewardship.Infectious disease clinics of North America · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Andrew I GellerDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), 1600 Clifton Road, NE, Mailstop D-26, Atlanta, GA, 30333, USA. ageller@cdc.gov.
Maribeth C LovegroveDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), 1600 Clifton Road, NE, Mailstop D-26, Atlanta, GA, 30333, USA.
Nadine ShehabDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), 1600 Clifton Road, NE, Mailstop D-26, Atlanta, GA, 30333, USA.
Lauri A HicksDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), 1600 Clifton Road, NE, Mailstop D-26, Atlanta, GA, 30333, USA.
Mathew R P SapianoDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), 1600 Clifton Road, NE, Mailstop D-26, Atlanta, GA, 30333, USA.
Daniel S BudnitzDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), 1600 Clifton Road, NE, Mailstop D-26, Atlanta, GA, 30333, USA.
Centers for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetailed, nationally representative data describing high-risk populations and circumstances involved in antibiotic adverse events (AEs) can inform approaches to prevention.

objectiveDescribe US burden, rates, and characteristics of emergency department (ED) visits by adults for antibiotic AEs.

designNationally representative, public health surveillance of adverse drug events (National Electronic Injury Surveillance System-Cooperative Adverse Drug Event Surveillance [NEISS-CADES]) and a nationally projected database of dispensed prescriptions (QuintilesIMS), 2011-2015. PATIENTS: Antibiotic-treated adults (≥ 20 years) seeking ED care. MAIN MEASURES: Estimated annual numbers and rates of ED visits for antibiotic AEs among outpatients treated with systemically administered antibiotics. KEY

resultsBased on 10,225 cases, US adults aged ≥ 20 years made an estimated 145,490 (95% confidence interval, 115,279-175,701) ED visits for antibiotic AEs each year in 2011-2015. Antibiotics were implicated in 13.7% (12.3-15.2%) of all estimated adult ED visits for adverse drug events. Most (56.6%; 54.8-58.4%) antibiotic AE visits involved adults aged < 50 years, and 71.8% (70.4-73.1%) involved females. Accounting for prescriptions dispensed from retail and long-term care pharmacies, adults aged 20-34 years had twice the estimated rate of ED visits for oral antibiotic AEs compared with those aged ≥ 65 years (9.7 [7.6-11.8] versus 4.6 [3.6-5.7] visits per 10,000 dispensed prescriptions, respectively). Allergic reactions accounted for three quarters (74.3%; 70.0-78.6%) of estimated ED visits for antibiotic AEs. The three most frequently implicated antibiotic classes in ED visits for antibiotic AEs were oral sulfonamides (23.2%; 20.6-25.8%), penicillins (20.8%; 19.3-22.4%), and quinolones (15.7%; 14.2-17.1%). Per-prescription rates declined with increasing age group.

conclusionsAntibiotics are a common cause of ED visits by adults for adverse drug events and represent an important safety issue. Quantifying risks of AEs from specific antibiotics for specific patient populations, such as younger adults, provides additional information to help clinicians assess risks versus benefits when making the decision to prescribe or not prescribe an antibiotic. AE rates may also facilitate communication with patients about antibiotic risks.

Indexed as

AdultAdverse Drug Reaction Reporting SystemsAgedAmbulatory CareAnti-Bacterial AgentsDrug-Related Side Effects and Adverse ReactionsEmergency Service, HospitalFemaleHumansMaleMiddle AgedUnited StatesYoung AdultAnti-Bacterial Agentscommunity healthevidence-based medicinepatient safetypharmaceutical careprimary care

Identifiers

PMID29679226
PMCPMC6025673
OpenAlexW2800286318

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.