MDD

(minutes courtesy Caitlin)

Attendance: Jordan Smoller, Roy Perlis, Shawn Murphy, Susanne Churchill, Isaac Kohane, Tianxi Cai, Victor Castro, Alison Hoffnagle, Patience Gallagher, Sydney Weill, Caitlin Clements

Minutes:

-ICCBDà Refresh: Victor has performed a preliminary refresh of the data mart; however, this did not include the NLP cohort. Victor will finish NLP classification and will perform another refresh by the end of the following week that includes this data. The current updated numbers for the other cohorts may change a bit as well when he performs this second refresh; however, they will not change by much.

• The numbers for the cohort sizes increased after the refresh, particularly because the group added McLean patients to the data mart (McLean patients must come to MGH/BWH for blood draws)
• • While the cohort sizes are relatively large, the number of people the group has actually collected (through Crimson) is very lowàabout only 10% of the possible cohort size
  • Cohort MRP/MRP-SV numbers are abysmal. PPV for these cohorts are getting worse and performing poorly. Could the group possibly run a simple regression for these cohorts? àNo, because the numbers are too low
• Where does the group stand with projection?
• • The group is in the 4^th year of our 5 year grant, so the group needs to figure out where we stand quickly.

Next Stepsà 1. Final refresh of data mart

                        2. The group needs to decide what we are going to do with the MRP and MRP-SV cohorts

StudyGroup	Cohort	ClassificationType	N	TP	FP	PPV	PPV 95% CI Lower	PPV 95% CI Upper
Case	95NLP	NLP+EMR	45	38	7	0.844	0.712	0.923
Case	NoNLP	EMR	26	24	2	0.923	0.759	0.979
Case	MRP	EMR	25	14	11	0.560	0.371	0.733
Case	MRP-SV	EMR	5	1	4	0.200	0.036	0.624
StudyGroup	Cohort	ClassificationType	N	TN	FN	NPV	NPV 95% CI Lower	NPV 95% CI Upper
Control	MDD	Advertising	11	10	1	0.909	0.623	0.984
Control	SCZ	Advertising	15	13	2	0.867	0.621	0.963
Control	Control	EMR	13	13	0	1.000	0.772	1.000