Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Local Anesthetics: Adverse Effects01:12

Local Anesthetics: Adverse Effects

822
While local anesthetics are generally safe and well-tolerated, they can occasionally cause adverse effects that vary in severity. Local anesthetics can induce toxicity at two distinct levels. They can either produce local effects through direct contact with the neural elements or be absorbed into the bloodstream from the injection site, leading to systemic effects.
Once absorbed into the systemic circulation, local anesthetics can affect the organs that depend on the functioning of sodium...
822
Insulin: Dosing Regimen and Adverse Effects01:16

Insulin: Dosing Regimen and Adverse Effects

850
Insulin-replacement therapy usually includes both long-acting insulin (basal) and short-acting insulin (to cater to postprandial needs). In a diverse group of type 1 diabetes patients, the average daily insulin dose is typically 0.5-0.7 units/kg body weight. However, obese patients and pubertal adolescents may need more due to insulin resistance.
The basal dose constitutes about 40%-50% of the total daily dose, with the rest as premeal insulin. The mealtime insulin dose should mirror...
850
Skeletal Muscle Relaxants: Adverse Effects01:21

Skeletal Muscle Relaxants: Adverse Effects

895
Skeletal muscle relaxants are widely used for muscle paralysis and relieving pain following any muscle injury or stiffness. However, depending on the drug type, they can have adverse effects that range from mild to severe. Usually, nondepolarizing neuromuscular blockers have minimal side effects. For example, drugs like d-tubocurarine, cisatracurium, and rocuronium cause hypotension, whereas drugs like baclofen, when stopped abruptly, can lead to the recurrence of spastic conditions.
Unlike...
895
Bioequivalence of Drugs: Drugs with Multiple Indications01:09

Bioequivalence of Drugs: Drugs with Multiple Indications

167
The concept of therapeutic equivalence (TE) in drugs with multiple indications is complex. A generic drug may be therapeutically equivalent to a brand-name product for one specific indication, but this doesn't necessarily mean it's equivalent for all other indications. Evidence of TE in one patient group and bioequivalence shown in healthy volunteers can support—but not confirm—TE for other indications. However, definitive proof requires individual clinical studies for each...
167
Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

11.8K
The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
11.8K
Antipsychotic Drugs: Therapeutic Uses and Side Effects01:21

Antipsychotic Drugs: Therapeutic Uses and Side Effects

864
Antipsychotic drugs primarily block dopamine and serotonin receptors and cholinergic, adrenergic, and histaminergic receptors, thereby reducing hallucinations and delusions in conditions like schizophrenia. However, they can trigger unwanted extrapyramidal effects such as dystonias, Parkinson-like symptoms, and tardive dyskinesia.
Despite these side effects, antipsychotics are used therapeutically for various purposes, including managing schizophrenia, preventing nausea and vomiting, curbing...
864

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Structured reasoning failures compromise LLM interpretation of clinical oncology notes.

NPJ digital medicine·2026
Same author

Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: A Comparative Analysis.

Journal of medical Internet research·2026
Same author

Federated target trial emulation for time-to-event outcomes via POLARIS: Pooled-equivalent One-shot Likelihood Aggregation for Real-world Inference in Survival.

Research square·2026
Same author

Optimizing Retrieval-Augmented Generation (RAG) in clinical medicine: methods and performance evaluation.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

From "negative" trial to positive clinical impact: mitigating eligibility criteria-induced temporal selection bias in emulated clinical trials.

npj health systems·2026
Same author

AI-Generated Avatar Videos for Postoperative Patient Education Among Health Care Workers: Pilot Randomized Controlled Trial.

JMIR perioperative medicine·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Feb 16, 2026

Author Spotlight: A Novel Protocol for Intracameral Injections to Enhance Precision in Rodent Ophthalmology
06:19

Author Spotlight: A Novel Protocol for Intracameral Injections to Enhance Precision in Rodent Ophthalmology

Published on: May 31, 2024

1.7K

Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data.

Jing Huang1, Xinyuan Zhang2, Jingcheng Du2

  • 1University of Pennsylvania, Philadelphia, PA, USA.

Studies in Health Technology and Informatics
|January 4, 2018
PubMed
Summary
This summary is machine-generated.

A new statistical method allows systematic comparison of drug safety data from the US Food and Drug Administration (FDA) Adverse Event (AE) Reporting System (FAERS). This approach identifies significant differences in adverse event rates and demographic distributions between drug groups.

Keywords:
Adverse Drug Reaction Reporting SystemsData Mining

More Related Videos

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development
07:02

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development

Published on: February 11, 2019

10.3K
A Novel Method of Drug Administration to Multiple Zebrafish Danio rerio and the Quantification of Withdrawal
10:52

A Novel Method of Drug Administration to Multiple Zebrafish Danio rerio and the Quantification of Withdrawal

Published on: November 12, 2014

12.7K

Related Experiment Videos

Last Updated: Feb 16, 2026

Author Spotlight: A Novel Protocol for Intracameral Injections to Enhance Precision in Rodent Ophthalmology
06:19

Author Spotlight: A Novel Protocol for Intracameral Injections to Enhance Precision in Rodent Ophthalmology

Published on: May 31, 2024

1.7K
A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development
07:02

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development

Published on: February 11, 2019

10.3K
A Novel Method of Drug Administration to Multiple Zebrafish Danio rerio and the Quantification of Withdrawal
10:52

A Novel Method of Drug Administration to Multiple Zebrafish Danio rerio and the Quantification of Withdrawal

Published on: November 12, 2014

12.7K

Area of Science:

  • Pharmacovigilance
  • Biostatistics
  • Drug Safety Monitoring

Background:

  • The US Food and Drug Administration (FDA) Adverse Event (AE) Reporting System (FAERS) is a critical resource for drug safety surveillance.
  • Current methods lack systematic procedures for comparing adverse event profiles across different drug groups.

Purpose of the Study:

  • To introduce a novel statistical methodology for the systematic comparison of drugs within the FAERS database.
  • To effectively identify significant differences in adverse event rates among various drug entities.
  • To estimate variations in age and gender distributions associated with adverse events for different drugs.

Main Methods:

  • Development and application of a statistical method designed for comparative analysis of FAERS data.
  • Utilizing FAERS data to assess adverse event reporting rates across multiple drugs.
  • Analyzing demographic data (age, gender) to understand population-specific differences in adverse event profiles.

Main Results:

  • The proposed statistical method successfully identifies significant differences in adverse event rates between drug groups.
  • The method provides quantitative estimates of disparities in age and gender distributions related to drug-associated adverse events.
  • Demonstrated capability to systematically compare drug safety profiles using real-world data.

Conclusions:

  • The presented statistical approach offers a robust framework for enhanced drug safety comparison using FAERS data.
  • This method facilitates a more nuanced understanding of drug-specific risks and population vulnerabilities.
  • Improves systematic drug group comparison for more effective pharmacovigilance.