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Researchers highlight the need for more reliable methods to predict risk of relapse into depression
At least half of patients recovering from depression will experience a relapse, but there are currently no evidence-based tools to help GPs or other healthcare professionals to identify those at high risk.
A team of researchers are therefore calling for more reliable methods for predicting which patients areat high risk of relapsing into depression following a period of recovery.
The team,including researchers from Keele University s School of Medicine,the University of York, and the Hull York Medical School carried out a Cochrane review of all available evidence which aimed to develop prediction tools. The work was funded by a National Institute of Health Research (NIHR) Doctoral Research Fellowship, held by lead author Dr Andrew Moriarty from the University of York. ....

Andrew Moriarty , Richard Riley , Emily Henderson , Hull York Medical School , National Institute Of Health Research , Keele University School Of Medicine , Keele School Of Medicine , Addictions Research Group , University Of York Mental Health , University Of York , Doctoral Research Fellowship , Keele University , National Institute , Health Research , Cochrane Database , Systematic Reviews , Lead Researcher , Mental Health , Addictions Research , Carolyn Chew Graham , ஆண்ட்ரூ மோரீயார்டீ , ரிச்சர்ட் ரைலி , எமிலி ஹென்டர்சன் , ஹல் யார்க் மருத்துவ பள்ளி , தேசிய நிறுவனம் ஆஃப் ஆரோக்கியம் ஆராய்ச்சி , கீல் பள்ளி ஆஃப் மருந்து ,