Evidence map›Paper›PMID 37725377›Full record

SynthesisJAMA network open2023

Ranitidine Use and Incident Cancer in a Multinational Cohort.

Seng Chan You, Seung In Seo, Thomas Falconer, Chen Yanover, Talita Duarte-Salles, Sarah Seager, Jose D Posada, Nigam H Shah, Phung-Anh Nguyen, Yeesuk Kim and 13 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Utilization of Acid Suppressants After Withdrawal of Ranitidine in Korea: An Interrupted Time Series Analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025
    Article
  11. 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

23 authors.

Seng Chan YouDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.
Seung In SeoDepartment of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
Thomas FalconerDepartment of Biomedical Informatics, Columbia University, New York, New York.
Chen YanoverKI Research Institute, Kfar Malal, Israel.
Talita Duarte-SallesFundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain.
Sarah SeagerIQVIA, Cambridge, Massachusetts.
Jose D PosadaDepartment of Medicine, Stanford University School of Medicine, Stanford, California.
Nigam H ShahDepartment of Medicine, Stanford University School of Medicine, Stanford, California.
Phung-Anh NguyenGraduate Institute of Data Science, College of Management, Taipei Medical University, Taiwan.
Yeesuk KimDepartment of Orthopaedic Surgery, College of Medicine, Hanyang University, Seoul, Korea.
Jason C HsuInternational PhD Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei, Taiwan.
Mui Van ZandtIQVIA, Cambridge, Massachusetts.
Min-Huei HsuGraduate Institute of Data Science, College of Management, Taipei Medical University, Taiwan.
Hang Lak LeeDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
Heejoo KoCollege of Medicine, The Catholic University of Korea, Seoul, Korea.
Woon Geon ShinDepartment of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
Nicole PrattQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Christin G ReichIQVIA, Cambridge, Massachusetts.
Marc A SuchardDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, New York.
Chan Hyuk ParkDepartment of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.
Daniel Prieto-AlhambraPharmaco- and Device Epidemiology, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Ranitidine, the most widely used histamine-2 receptor antagonist (H2RA), was withdrawn because of N-nitrosodimethylamine impurity in 2020. Given the worldwide exposure to this drug, the potential risk of cancer development associated with the intake of known carcinogens is an important epidemiological concern. Objective: To examine the comparative risk of cancer associated with the use of ranitidine vs other H2RAs. Design, Setting, and Participants: This new-user active comparator international network cohort study was conducted using 3 health claims and 9 electronic health record databases from the US, the United Kingdom, Germany, Spain, France, South Korea, and Taiwan. Large-scale propensity score (PS) matching was used to minimize confounding of the observed covariates with negative control outcomes. Empirical calibration was performed to account for unobserved confounding. All databases were mapped to a common data model. Database-specific estimates were combined using random-effects meta-analysis. Participants included individuals aged at least 20 years with no history of cancer who used H2RAs for more than 30 days from January 1986 to December 2020, with a 1-year washout period. Data were analyzed from April to September 2021. Exposure: The main exposure was use of ranitidine vs other H2RAs (famotidine, lafutidine, nizatidine, and roxatidine). Main Outcomes and Measures: The primary outcome was incidence of any cancer, except nonmelanoma skin cancer. Secondary outcomes included all cancer except thyroid cancer, 16 cancer subtypes, and all-cause mortality. Results: Among 1 183 999 individuals in 11 databases, 909 168 individuals (mean age, 56.1 years; 507 316 [55.8%] women) were identified as new users of ranitidine, and 274 831 individuals (mean age, 58.0 years; 145 935 [53.1%] women) were identified as new users of other H2RAs. Crude incidence rates of cancer were 14.30 events per 1000 person-years (PYs) in ranitidine users and 15.03 events per 1000 PYs among other H2RA users. After PS matching, cancer risk was similar in ranitidine compared with other H2RA users (incidence, 15.92 events per 1000 PYs vs 15.65 events per 1000 PYs; calibrated meta-analytic hazard ratio, 1.04; 95% CI, 0.97-1.12). No significant associations were found between ranitidine use and any secondary outcomes after calibration. Conclusions and Relevance: In this cohort study, ranitidine use was not associated with an increased risk of cancer compared with the use of other H2RAs. Further research is needed on the long-term association of ranitidine with cancer development.

Indexed as

Skin NeoplasmsThyroid NeoplasmsCohort StudiesFemaleHistamine H2 AntagonistsHumansMaleMiddle AgedRanitidineHistamine H2 AntagonistsRanitidine

Identifiers

PMID37725377
PMCPMC10509724

What OpenQuestion holds

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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.