ArticleHeliyon2024
Pharmacovigilance analysis of orlistat adverse events based on the FDA adverse event reporting system (FAERS) database.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Synergistic lipase inhibition by Garcinia parvifolia metabolites: aMetabolomics : Official journal of the Metabolomic Society · 2026Article
- Anti-obesity medications impacting the eye: An emerging concern - a narrative review.World journal of methodology · 2026Review
- Article
- Real-World Evidence for Existing Anti-Obesity Therapies-The Realities of Treatment Adherence, Tolerability, Access and Patient Satisfaction.Diabetes, obesity & metabolism · 2026Review
- OAF Blocks SIAH1-Mediated Degradation of SCPX, a Therapeutic Strategy for MASLD.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Orlistat-Associated Gastrointestinal, Hepatobiliary, Pancreatic, and Anorectal Safety Signals: A FAERS Disproportionality and Regulatory Label Concordance Study.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Ocular Adverse Events Associated With Antidepressants: A Large-Scale Data Analysis From the FAERS Database.CNS neuroscience & therapeutics · 2026Article
- A Pharmacovigilance Analysis of Ocular Adverse Events Associated with GLP-1 Receptor Agonists.Journal of clinical medicine · 2026Review
- Factors Associated with the Acceptance of Weight Loss Drugs Among Overweight and Obese Adults in Mainland China: A Cross-Sectional Study.Patient preference and adherence · 2026Article
- 6,7-Dihydroxy-4-methylcoumarin Suppresses Adipogenesis via AMPK and MAPK Signaling with In Silico Analysis of Adipogenic Proteins.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Dihydroquercetin in Weight Control: Systematic Review and Meta-Analysis of Preclinical Studies.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Immune checkpoint inhibitor-associated myocarditis and pericarditis: a pharmacovigilance study based on the FAERS database.BMC cancer · 2025Article
- Nanocarrier-enabled delivery of natural antiobesity agents.Nanomedicine (London, England) · 2025Review
- Obesity and Pancreatic Diseases: From Inflammation to Oncogenesis and the Impact of Weight Loss Interventions.Nutrients · 2025Review
- Characteristics of Adverse Events and Clinical Risks of Omaveloxolone Based on FAERS Data.Cerebellum (London, England) · 2025Article
- Risk Signals of Antibody-Drug Conjugates in Bladder Cancer: A Real-World FAERS Study.Clinical epidemiology · 2025Article
- Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Based on the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database, we analyzed the signals of potential adverse events (AEs) of orlistat in the real world to provide a reference for its safe clinical use. Methods: The FAERS database and OpenVigil 2.1 were used to obtain data on adverse events of orlistat from the first quarter of 2004 to the first quarter of 2023, and to analyze the population in which the adverse events occurred. And the signals of their potential adverse events were mined using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and empirical Bayesian geometric mean (EBGM). Result: A total of 21,079 reports of adverse events with orlistat as the primary suspected drug were collected in this study. Using four disproportionate analyses, we screened 117 preferred terms (PTs) involving 18 system organ classes (SOCs). We found that the most common adverse events at SOC level for orlistat remained "gastrointestinal disorders", while "metabolism and nutrition disorders", "renal and urinary disorders", "musculoskeletal and connective tissue disorders" and "hepatobiliary disorders" also ranked high in the number of case reports. In addition, at the PT level, we identified several new signals of adverse events not mentioned in the specification, including "lipiduria", "anal haemorrhage", "rectal haemorrhage", "haematochezia", "sigmoiditis", "diverticulitis" and "muscle spasms". Conclusion: Most of the adverse events found in this study are consistent with the results described in the drug label. At the same time, we also found some new adverse events, which require more prospective studies to verify and elucidate their relationship with orlistat.
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Registered trials
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 Socratic graph.