Monthly Archives: August 2019

Clinicaltrialsdata.org – Part 3

In Part2, we have discussed about “Access” feature on clinicaltrialsdata.org platform. In this article, let’s explore “Search” feature.

Search” feature enables users to search for any clinical trial record by entering any text i.e. disease, medical condition, study type,  location etc. Below are the aspects of Search feature:

  • Search engine examines all the words of clinical trial records in each Clinical trial registry to match the search text
  • Returns all clinical trial records which meets the search criteria
  • Search results can be bookmarked to quickly view and analyze later
  • Customize search results by selecting needed database columns from UI 

Search functionality can be accomplished in 2 ways:

  • UI -User Interface
  • API – from command line or programmatically 

Let’s take a look at the navigation steps and screenshots which shows how the search functionality can be accomplished.
1. Launch clinicaltrialsdata.org and click on “Search” tab. “Search” page will be displayed as shown in the below screenshot:

2. Enter any search text say “Malaria” and click “SEARCH” button. Search results will be displayed as shown below : 

3. Customize search results by selecting any “Available Columns” say trialid, Date_Of_Registration, study_type, enrollment.type, primary_outcome.measure. Search results will be displayed as shown below:

In the coming articles, we will discuss about Discover, Compare and Analyse features.

Clinicaltrialsdata.org – Part 2

In Part 1 we have briefly introduced the clinicaltrialsdata.org platform, the problem it solves and the alternatives as of now. In this part 2 article we will explore one of its features – ‘Access’.

‘Access’ essentially allows a way to retrieve trials records from a specific trial registry. There are 3 path ways that this might happen

  • A specific/known trial id needs to be looked up to retrieve it’s record in the registry.
  • A random exploration of list of trials from the registry
  • Query the trial registry records directly by filtering them against any attribute i.e. SQL.

Like all other platform features ‘Access’ is feasible through both UI as well as API(which can be used directly from command-line and/or programmatically).

Below are few examples and screenshots:

  • Navigation

This feature is currently available for 15 registries, over 4 continents and several countries.

In the next articles we will cover other features – Search, Discover, Analyze.

Clinicaltrialsdata.org – Part 1

In this post, we will introduce clinicaltrialsdata.org platform, the problem it solves and the alternatives as of now.

Clinical trials are executed across the globe and several trial registries, including primary registries (as classified by WHO in their registry network), exist today. If one has a need for looking at trials in a specific area of interest, at present, the only options are searching on google and visiting each one of the registries where a trial may exist and manually curating the content from them. This process is tedious, error prone not to mention frustrating.

clinicaltrialsdata.org aims to collect data from all trial registries across the globe. There have been very few attempts before this – opentrials.netis one of the most recent work. clinicaltrialsdata.org took a fresh look at this problem and tried to address in a native-cloud, on-demand, API-driven manner.

clinicaltrialsdata.org aims to provide below features :

  • access to all trials registered anywhere. ex:trials registered in clinicaltrials.gov can be accessed here.
  • full text search on registry records. ex: if you are searching for a topic, say ballon sinoplasty, try this search. (NOTE: Search results can be bookmarked to quickly look at updates.)
  • discover additional information about a trial ex: a trial may be registered in 3 trial registries globally where it is assigned different ids along with several other internal/external ids. Here’s an example.
  • compare two trials using their registry ids
  • analysis of trials ex: try the geo-visualizaton of trial counts across countries here and
  • learning from previous trial’s design and their outcomes.

These features are aimed to help avoid inefficiencies in trial selection, design and execution which might eventually lead to redundant and/or failed trials wasting – money, resources, time and effort.

clinicaltrialsdata.org is part of a suite of sites focused on making open datasets from clinical research, health care and related domains readily accessible. For more details please click here.

NOTE: Please honor the data usage policies as prescribed by source registry sites.