In that case, you often need to answer questions that would start with
"What results have been recorded in clinical trials with…" and would continue like
"... a certain drug?" or
"... a certain molecule, in a certain indication?" or
"... a certain drug, in a certain indication, in a certain group of patients?" or
"... a certain drug, in a certain indication, in a certain group of patients, in a certain line of treatment?"
Depending on the exact need you had to solve, the order of these criteria in the questions mentioned could be any other, but you certainly knew that a long and meticulous search for articles published in various journals or on your computer would follow.
Reading an article about a clinical study, we focus first on the results, on some particularities of the included patients and on what side effects to expect in clinical practice if we proceed as in the study presented.
We are accustomed to such an article being detailed over at least six pages containing graphs and tables. Much text with descriptive and procedural details, and we never realised that such an article would "bombard" our memory with over three hundred unique data that we cannot process helpfully.
Also, how many of you have access to and even read the appendices to the article? We are convinced that each of us has, somehow, a way of storing this valuable information.
Such an approach only filled our computer screens or office with dozens of pages of articles we were looking for. This was only the first step in continuing our search through hundreds of paragraphs.
Undoubtedly, any article published in the literature is invaluable to the scientific world, especially to clinicians. These articles will always be the official source of any list of references. Still, our daily needs would require the implementation of an easier way to query and find answers to such complex questions as those presented.
If you are about to make a personalised therapeutic decision, or if you only need figures for a scientific or marketing report or argument, then ScanCTD will allow you to find the answers you are looking for quickly and easily.
Moreover, it is the only place where you can see, in parallel, left-right, only the figures from the two studies you found through the initial query.
The data and information in the ScanCTD.com databases do not belong to us. These data and information come from clinical trials conducted under the GCP guidelines. And because we are talking about GCP (Good Clinical Practice), these data, good or bad, had to be published.
ScanCTD is an aggregator of various sources of these data and information from clinical trials that can thus be more easily found for easy and even comparative analysis.
We would be happy to have you as a supporting member!