Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time

05/21/2020
by   Benjamin E. Nye, et al.
0

We introduce Trialstreamer, a living database of clinical trial reports. Here we mainly describe the evidence extraction component; this extracts from biomedical abstracts key pieces of information that clinicians need when appraising the literature, and also the relations between these. Specifically, the system extracts descriptions of trial participants, the treatments compared in each arm (the interventions), and which outcomes were measured. The system then attempts to infer which interventions were reported to work best by determining their relationship with identified trial outcome measures. In addition to summarizing individual trials, these extracted data elements allow automatic synthesis of results across many trials on the same topic. We apply the system at scale to all reports of randomized controlled trials indexed in MEDLINE, powering the automatic generation of evidence maps, which provide a global view of the efficacy of different interventions combining data from all relevant clinical trials on a topic. We make all code and models freely available alongside a demonstration of the web interface.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/05/2023

Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs

Results from Randomized Controlled Trials (RCTs) establish the comparati...
research
09/17/2015

Extraction of evidence tables from abstracts of randomized clinical trials using a maximum entropy classifier and global constraints

Systematic use of the published results of randomized clinical trials is...
research
07/26/2023

CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions

A clinical trial is a study that evaluates new biomedical interventions....
research
10/07/2020

Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations

The best evidence concerning comparative treatment effectiveness comes f...
research
04/02/2019

Inferring Which Medical Treatments Work from Reports of Clinical Trials

How do we know if a particular medical treatment actually works? Ideally...
research
01/10/2021

Visualizing adverse events using correspondence analysis

We propose to apply stacked CA using contribution biplots as a tool to e...
research
03/07/2023

Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges

We present TrialsSummarizer, a system that aims to automatically summari...

Please sign up or login with your details

Forgot password? Click here to reset