Adverse Events Module

Adverse Events Module

For researchers submitting trial data to ClinicalTrials.gov, the Adverse Events module is one of four mandatory results sections. It requires reporting in three primary categories: All-Cause Mortality: A table tracking all deaths that occurred during the study, regardless of cause. Serious Adverse Events (SAEs): A tabular summary of events resulting in death, life-threatening conditions, hospitalization, or significant disability. Other Adverse Events: A table for non-serious events that exceed a specific frequency threshold, such as 5% within any study arm.

Adverse Events Module path is as follows:

Study -> Results Section -> Adverse Events Module -> Event Groups

Study -> Results Section -> Adverse Events Module -> Serious Events

Study -> Results Section -> Adverse Events Module -> Other Events

Adverse Events Module


Ignite Creation Date: 2025-12-24 @ 7:57 PM
Ignite Modification Date: 2025-12-25 @ 5:31 PM
NCT ID: NCT03833804
Description: Investigators did not plan per protocol to examine all-cause mortality outside of the discharge disposition (data reported in baseline characteristics), serious adverse events, or other adverse events. Adverse Events and Deaths were not collected.
Frequency Threshold: 0
Time Frame: No plan per protocol to collect adverse events data.
Study: NCT03833804
Study Brief: Data-driven Identification for Substance Misuse
Event Groups(If Any):

Event Groups

Title Description Deaths # Affected Deaths # At Risk Serious # Affected Serious # At Risk Other # Affected Other # At Risk View
Usual Care data collected before study intervention 0 None 0 0 0 0 View
SMART-AI: NLP (Natural Language Processing) Pre-screen Automated processing of clinical notes collected during routine care in first 24 hours of hospital admission to identify individuals at-risk for substance misuse to receive standard-of-care full screening and assessment, brief intervention, or referral to treatment (SBIRT) intervention. Processing of clinical notes in the EHR data collected during routine care: Clinical notes collected in the first day of hospital admission during usual care as input to natural language processing and machine learning algorithm. 0 None 0 0 0 0 View
Serious Events(If Any):
Other Events(If Any):