Evidence map›Paper›PMID 29703279›Full record

ArticleJournal of the American Dental Association (1939)2018

Assessment of inappropriate antibiotic prescribing among a large cohort of general dentists in the United States.

Michael J Durkin, Qianxi Feng, Kyle Warren, Peter B Lockhart, Martin H Thornhill, Kiraat D Munshi, Rochelle R Henderson, Kevin Hsueh, Victoria J Fraser, Centers for Disease Control and Prevention Epicenters

Abstract read
In one paragraph

Article in Journal of the American Dental Association (1939), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Article
  7. Endocarditis prevention: time for a review of NICE guidance.The Lancet regional health. Europe · 2024
    Review
  8. Article
  9. How decisions are made: Antibiotic stewardship in dentistry.Infection control and hospital epidemiology · 2023
    Article
  10. Article
  11. Article
  12. First Report of Potentially PathogenicFoods (Basel, Switzerland) · 2022
    Article
  13. Article
  14. Severe infections after teeth removal - are we doing enough in preventing them?Journal of clinical and experimental dentistry · 2022
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Michael J Durkin
Qianxi Feng
Kyle Warren
Peter B Lockhart
Martin H Thornhill
Kiraat D Munshi
Rochelle R Henderson
Kevin Hsueh
Victoria J Fraser
Centers for Disease Control and Prevention Epicenters

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Institute of Clinical and Translational Sciences (KL2) KL2TR002346 · NCATS · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 2017 to 2026
$14.0M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
ACL HHS U54CK000482NCATS NIH HHS KL2 TR000450NCATS NIH HHS KL2 TR002346NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCEZID CDC HHS U54 CK000162NCEZID CDC HHS U54 CK000482NCEZID CDC HHS U54 CK000609NIAID NIH HHS L30 AI133778
6 · The paper itself

Abstract

backgroundThe purpose of this study was to assess dental antibiotic prescribing trends over time, to quantify the number and types of antibiotics dentists prescribe inappropriately, and to estimate the excess health care costs of inappropriate antibiotic prescribing with the use of a large cohort of general dentists in the United States.

methodsWe used a quasi-Poisson regression model to analyze antibiotic prescriptions trends by general dentists between January 1, 2013, and December 31, 2015, with the use of data from Express Scripts Holding Company, a large pharmacy benefits manager. We evaluated antibiotic duration and appropriateness for general dentists. Appropriateness was evaluated by reviewing the antibiotic prescribed and the duration of the prescription.

resultsOverall, the number and rate of antibiotic prescriptions prescribed by general dentists remained stable in our cohort. During the 3-year study period, approximately 14% of antibiotic prescriptions were deemed inappropriate, based on the antibiotic prescribed, antibiotic treatment duration, or both indicators. The quasi-Poisson regression model, which adjusted for number of beneficiaries covered, revealed a small but statistically significant decrease in the monthly rate of inappropriate antibiotic prescriptions by 0.32% (95% confidence interval, 0.14% to 0.50%; P = .001).

conclusionsOverall antibiotic prescribing practices among general dentists in this cohort remained stable over time. The rate of inappropriate antibiotic prescriptions by general dentists decreased slightly over time. PRACTICAL IMPLICATIONS: From these authors' definition of appropriate antibiotic prescription choice and duration, inappropriate antibiotic prescriptions are common (14% of all antibiotic prescriptions) among general dentists. Further analyses with the use of chart review, administrative data sets, or other approaches are needed to better evaluate antibiotic prescribing practices among dentists.

Indexed as

Anti-Bacterial AgentsInappropriate PrescribingCohort StudiesDentistsHumansUnited StatesAnti-Bacterial AgentsAntibioticsdentistryepidemiologyprophylaxispublic healthtreatment

Identifiers

PMID29703279
PMCPMC5995471

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.