Evidence map›Paper›PMID 37622034›Full record

ArticleOpen forum infectious diseases2023

Comparison of Different Antibiotics and the Risk for Community-Associated

Aaron C Miller, Alan T Arakkal, Daniel K Sewell, Alberto M Segre, Joseph Tholany, Philip M Polgreen, CDC MInD-Healthcare Group

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. The PRECISE framework: a structured approach to antibiogram interpretation for antimicrobial optimization at the bedside.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  5. Laboratory-DetectedHealth science reports · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Evaluating the Risk ofJournal of clinical medicine · 2026
    Article
  11. Review
  12. Article
  13. Derivation and validation of a prediction model for primary and recurrentAntimicrobial stewardship & healthcare epidemiology : ASHE · 2026
    Article
  14. Article
  15. Systemic elevation of gut derivedFrontiers in physiology · 2026
    Article
  16. Article
  17. Article
  18. Changes in the Epidemiology of Clostridioides difficile Infection.Infectious disease clinics of North America · 2025
    Review
  19. Article
  20. 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

7 authors.

Aaron C MillerUniversity of Iowa, Carver College of Medicine, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0002-6828-8966
Alan T ArakkalUniversity of Iowa, College of Public Health, Iowa City, Iowa, USA.
Daniel K SewellUniversity of Iowa, College of Public Health, Iowa City, Iowa, USA.
Alberto M SegreDepartment of Computer Science, University of Iowa, Iowa City, Iowa, USA.
Joseph TholanyUniversity of Iowa, Carver College of Medicine, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0003-4415-4573
Philip M PolgreenUniversity of Iowa, Carver College of Medicine, Iowa City, Iowa, USA.
CDC MInD-Healthcare Group

Funding

Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Amy Leanne Ryan · 1998 to 2026
$30.5M
NCEZID CDC HHS U01 CK000594NIDDK NIH HHS P30 DK054759
6 · The paper itself

Abstract

Background: Antibiotics are the greatest risk factor for Methods: We conducted a matched case-control study using a large database of insurance claims capturing longitudinal health care encounters and medications. Case patients with community-associated CDI were matched to 5 control patients by age, sex, and enrollment period. Antibiotics prescribed within 30 days before the CDI diagnosis along with other risk factors, including comorbidities, health care exposures, and gastric acid suppression were considered. Conditional logistic regression and a Bayesian analysis were used to compare risk across individual antibiotics. A sensitivity analysis of antibiotic exposure windows between 30 and 180 days was conducted. Results: We identified 159 404 cases and 797 020 controls. Antibiotics with the greatest risk for CDI included clindamycin and later-generation cephalosporins, and those with the lowest risk included minocycline and doxycycline. We were able to differentiate and order individual antibiotics in terms of their relative level of associated risk for CDI. Risk estimates varied considerably with different exposure windows considered. Conclusions: We found wide variation in CDI risk within and between classes of antibiotics. These findings ordering the level of associated risk across antibiotics can help inform tradeoffs in antibiotic prescribing decisions and stewardship efforts.

Indexed as

antibioticscase–control studyCDIClostridioides difficile infectionoutpatientrisk factorsstewardship

Identifiers

PMID37622034
PMCPMC10444966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.