Evidence map›Paper›PMID 39975698›Full record

ArticleEClinicalMedicine2025

Risk of aortic aneurysm or dissection following use of fluoroquinolones: a retrospective multinational network cohort study.

Jack L Janetzki, Jung Ho Kim, Evan Minty, Jung Ah Lee, Daniel R Morales, Rohan Khera, Chungsoo Kim, Thamir M Alshammari, Scott L DuVall, Michael E Matheny and 17 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. 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

27 authors.

Jack L JanetzkiClinical and Health Sciences, Quality Use of Medicines and Pharmacy Research Centre, University of South Australia, Adelaide, Australia.
Jung Ho KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Evan MintyDepartment of Medicine, University of Calgary, Calgary, Canada.
Jung Ah LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Daniel R MoralesDivision of Population Health and Genomics, University of Dundee, Dundee, United Kingdom.
Rohan KheraSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, USA.
Chungsoo KimSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, USA.
Thamir M AlshammariDepartment of Clinical Pharmacy, Pharmacy Practice Research Unit, Faculty of Pharmacy, Jazan University, Jazan, Saudi Arabia.
Scott L DuVallVA Informatics and Computing Infrastructure, United States Department of Veterans Affairs, Salt Lake City, USA.
Michael E MathenyTennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, USA.
Thomas FalconerDepartment of Biomedical Informatics, Columbia University, New York, USA.
Seonji KimDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, South Korea.
Thanh-Phuc PhanInternational Ph.D. Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, New Taipei City, Taiwan.
Phung-Anh NguyenClinical Data Center, Office of Data Science, Taipei Medical University, New Taipei City, Taiwan.
Min-Huei HsuGraduate Institute of Data Science, College of Management, Taipei Medical University, Taipei City, Taiwan.
Jason C HsuClinical Data Center, Office of Data Science, Taipei Medical University, New Taipei City, Taiwan.
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.
Kenneth K C ManSchool of Pharmacy, University College London, London, United Kingdom.
Sarah SeagerIQVIA, Cambridge, MA, USA.
Mui Van ZandtIQVIA, Cambridge, MA, USA.
James P GilbertJanssen Research and Development, Titusville, USA.
Patrick B RyanEpidemiology, Johnson & Johnson, Titusville, USA.
Martijn J SchuemieEpidemiology, Johnson & Johnson, Titusville, USA.
Marc A SuchardDepartment of Biostatistics, University of California, Los Angeles, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, USA.
Nicole PrattClinical and Health Sciences, Quality Use of Medicines and Pharmacy Research Centre, University of South Australia, Adelaide, Australia.
Seng Chan YouDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, South Korea.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
DISCOVERING AND APPLYING KNOWLEDGE IN CLINICAL DATABASESR01LM006910 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M · 2000 to 2023
$10.6M
NCATS NIH HHS UL1 TR001863NLM NIH HHS R01 LM006910
6 · The paper itself

Abstract

Background: Fluoroquinolones (FQs) are commonly used to treat urinary tract infections (UTIs), but some studies have suggested they may increase the risk of aortic aneurysm or dissection (AA/AD). However, no large-scale international study has thoroughly assessed this risk. Methods: A retrospective cohort study was conducted using a large, distributed network analysis across 14 databases from 5 countries (United States, South Korea, Japan, Taiwan, and Australia). The study included 13,588,837 patients aged 35 or older who initiated systemic fluoroquinolones (FQs) or comparable antibiotics (trimethoprim with or without sulfamethoxazole [TMP] or cephalosporins [CPHs]) for UTI treatment in the outpatient setting between JAN 01, 2010 and DEC 31, 2019. Patients were included if at the index date they had at least 365 days of prior observation and were not hospitalised for any reason on or within 7 days prior to the index date. The primary outcome was AA/AD occurrence within 60 days of exposure, with secondary outcomes examining AA and AD separately. Cox proportional hazards models with 1:1 propensity score (PS) matching were used to estimate the risk, with results calibrated using negative control outcomes. Analyses were subjected to pre-defined study diagnostics, and only those passing all diagnostics were reported. Hazard ratios (HRs) were pooled using Bayesian random-effects meta-analysis. Findings: Among analyses that passed diagnostics there were 1,954,798 and 1,195,962 propensity-matched pairs for the FQ versus TMP and FQ versus CPH comparisons respectively. For the 60-day follow-up there was no difference in risk of AA/AD between FQ and TMP (absolute rate difference [ARD], 0.21 per 1000 person-year; calibrated HR, 0.91 [95% CI 0.73-1.10]). There was no significant difference in risk for FQ versus CPH (ARD, 0.11 per 1000 person-year; calibrated HR, 1.01 [95% CI 0.82-1.25]). Interpretation: This large-scale study used a rigorous design with objective diagnostics to address bias and confounding. There was no increased risk of AA/AD associated with FQ compared to TMP or CPH in patients treated for UTI in the outpatient setting. As we only examined FQ used to treat UTIs in the outpatient setting, the results may not be generalisable to other indications with different severity. Funding: Yonsei University College of Medicine, Government-wide R&D Fund project for infectious disease research (GFID), Republic of Korea, National Health and Medical Research Council (NHMRC) Australian Government. Department of Veterans Affairs (VA) Informatics and Computing Infrastructure (VINCI), Department of Veterans Affairs, the United States Government.

Indexed as

Aortic aneurysmAortic dissectionFluoroquinoloneObservational study

Identifiers

PMID39975698
PMCPMC11836508

What OpenQuestion holds

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Registered trials

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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.