Scan Clinical Trials Data

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Suppose you work in the oncology area

After many years of work in the field of oncology, it is my great pleasure and honour to give something back to all of you. A tool that I would have liked to have at hand that would make my work easier in countless situations.

In oncology, as in all areas of modern medicine, scientific articles from the specialised literature represent the basis of the decisions we must make every day.

Some of the most read articles are those about clinical trials, especially pivotal trials, which we each dissect according to our needs and … interests.

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.

Currently...

We make folders on our computer by naming them in a certain way, we save the links with a specific name, but we never seem to find them so easily precisely when we need them most.

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.

However, the real, practical need we often face in our work is not to return to the full text of the article itself but only to the data in that article. We would be inclined to consider a better way to name these saved articles or links to prevent this shortcoming.

Big data issue

It should, however, be borne in mind that only one article "bombards" us with more than five hundred data presented over tens of pages of text, graphs, tables, and appendices.

Such an avalanche of information implies that customising a treatment requires extraordinary memorisation skills on the part of those involved in evaluating and determining the best options.

Organised?

Without minimising the existence of such abilities, identifying those data from clinical trials that document the personalisation of treatment cannot be based on browsing hundreds of pages of articles in a reasonable time for the patients' lives.

With just a few clicks, this tool allows you to find data you would otherwise have found after hours of searching through hundreds of paragraphs of articles selected for this purpose.

Huge time saving

It is a unique tool, consistently updated and verified, to make it easier to quickly identify the data you need to make your daily oncology decisions

It should be mentioned that the data volume of this tool is constantly increasing according to its algorithm but also based on the feedback of its users.

Finally, ScanCTD!

ScanCTD is the only place where you can query a database of clinical trial results and features based on your needs. This web application allows you to create the most complex queries that will give you instant access to the data you want to find as quickly and concisely as possible.

It has never been easier to ask such complex questions and to find out in a short time the answers you are looking for about the results of clinical trials and the characteristics of the patients participating in those studies.

Why ScanCTD?

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 (Compare), only the figures from the two studies you found through the initial query.

The data and information in the ScanCTD 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.