Evidence map›Paper›PMID 39329122›Full record

ArticleFrontiers in pharmacology2024

Safety assessment of sulfasalazine: a pharmacovigilance study based on FAERS database.

Wangyu Ye, Yuan Ding, Meng Li, Zhihua Tian, Shaoli Wang, Zhen Liu

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Exploring the impacts of type 2 diabetes and metformin use on Parkinson's disease: Mendelian randomization analysis and a national cohort study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
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  4. Article
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  6. Article
  7. Review
  8. Inactivated Cells and Metabolites ofAntioxidants (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Adverse drug events associated with tiotropium: a real-world pharmacovigilance study of FDA adverse event reporting system database.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2025
    Article
  13. 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

6 authors.

Wangyu Ye *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yuan Ding *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Meng LiGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhihua TianGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Shaoli WangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhen LiuGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sulfasalazine is a widely used anti-inflammatory medication for treating autoimmune disorders such as ulcerative colitis (UC), Crohn's disease, and rheumatoid arthritis. However, its safety profile has not been systematically evaluated in real-world settings. By analyzing the FDA Adverse Event Reporting System (FAERS) database, we identified risk signals associated with adverse reactions to sulfasalazine, offering valuable insights for clinical decision-making and risk management. Methods: Reports of adverse events (AEs) associated with sulfasalazine, covering the period from Q1 2004 to Q4 2023, were extracted from the FAERS database. Detailed case information was aggregated to assess demographic characteristics. The associations between sulfasalazine and adverse events were evaluated using the Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayes Geometric Mean (EBGM). Results: We extracted 7,156 adverse event reports from the FAERS database where sulfasalazine was identified as the "Primary Suspect (PS)" drug. Using disproportionality analysis, we identified 101 preferred terms (PT) related to sulfasalazine across 24 organ systems. Notable adverse reactions consistent with the drug's labeling were observed, including Stevens-Johnson syndrome, agranulocytosis, eosinophilic pneumonia, and crystalluria. Additionally, novel positive signals not previously documented in the drug label were identified, including acute febrile neutrophilic dermatosis, aseptic meningitis, glomerulonephritis, and hepatosplenic T-cell lymphoma. Conclusion: Most of the adverse reaction findings in this study are consistent with previous clinical research, and we have also identified new potential AEs associated with sulfasalazine. These findings provide valuable insights for the safety monitoring and clinical application of sulfasalazine.

Indexed as

adverse drug reactionadverse eventFDA adverse events reporting systempharmacovigilancesulfasalazine

Identifiers

PMID39329122
PMCPMC11424536

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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.