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CLL Online Tool
An Interactive Online Tool Featuring Expert Recommendations for CLL

Released: October 10, 2018

Expiration: October 09, 2019

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The clinical management of patients with chronic lymphocytic leukemia (CLL) is becoming increasingly complex. The realities of current clinical practice require one to consider not only clinical factors such as age and comorbidities, but also specific molecular characteristics such as del(17p)/TP53 or IGHV mutation when planning a treatment course from among many different and reasonable options. The complexity of care seems to be accelerating as the number of available treatment options continues to expand, each with a distinct mechanism of action and safety profile. Practice guidelines are useful to help with insurance reimbursement and can provide a general treatment plan for broad groups of patients with CLL, listing multiple therapy choices based on the available levels of evidence. However, these guidelines are less useful for selecting therapy for specific patients in everyday practice, where many variables must be considered so that the treatment plan can be individualized to that patient.

In order to help guide rational treatment selection, my colleagues and I developed an online decision support tool for CLL. This tool provides treatment consultation and recommendations from 5 experts for nearly 150 defined patient case scenarios. As a participant, you are able to enter key patient and disease characteristics to define the different patient scenarios for which you are interested (Figure 1).

Figure 1. Entering patient and disease characteristics into the tool.
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Once the information for your particular patient scenario has been defined, you are able to indicate your intended treatment choice. After entering your treatment choice, you will be shown the individualized treatment recommendations from all 5 of the experts for that combination of patient and disease characteristics, allowing you to compare them with your planned therapy (Figure 2).

Figure 2. Expert treatment recommendations.
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Through this approach, participants can clearly identify clinical scenarios where experts are in agreement on the best treatment options and other scenarios where the available supporting evidence does not clearly favor one treatment over another and, consequently, there is more diversity in expert choices.

The goal is to routinely update this online tool so that our recommendations include consideration of emerging data and newly available agents. We hope that you will try this tool and will find it useful in your care of patients with CLL.

If you have any suggestions regarding this online tool, please be sure to leave a comment for me below.
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Do you find expert-developed online decision tools, such as the tool described in this post, to be useful in planning therapy for your patients with cancer?
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