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Absolute and relative MCIDs are easy to interpret and apply to data of investigative studies. MCIDs expressed as effect sizes reduce bias, which mainly results from dependency on the baseline score. Multivariate linear and logistic regression modeling further reduces bias. Anchor-based methods use clinical/subjective perception to define MCIDs and should be clearly differentiated from distribution-based methods that provide statistical significance only.

There is no data on the variation in the suicide risk over lifetime and on the suicide-preventive effect of the long-term treatment of mood-disorder patients with antidepressants and neuroleptics. Our research focused on 186 unipolar (D), 60 bipolar II (Dm), 130 nuclear bipolar I (MD), and 30 preponderantly manic patients (M/Md); that were followed-up from 1963 to 2003. By 2003, 45 (11.1%) of the 406 patients had committed suicide. Suicide rates were highest among D patients (Standardized Mortality Ratio, SMR = 26.4), MD (SMR = 13.6), Dm (SMR = 10.6) and lowest among M/Md patients (SMR = 4.7). Prospectively, the suicide rate decreased over the 44 years' follow-up; Lithium, neuroleptics and antidepressants reduced suicides significantly. Long-term treatment also reduced overall mortality, and combined treatments proved more effective than mono-therapy.