https://www.selleckchem.com/products/ly2606368.html The calibration dataset included 24 studies (4378 participants, 652 major depression cases); the validation dataset 17 studies (4252 participants, 568 cases). In the validation dataset, optimal cut-offs of the unidimensional, two-dimensional, and bi-factor models had higher sensitivity (by 0.036, 0.050, 0.049 points, respectively) but lower specificity (0.017, 0.026, 0.019, respectively) compared to the sum score cut-off of ⩾10. In a comprehensive dataset of diagnostic studies, scoring using complex latent variable models do not improve screening accuracy of the PHQ-9 meaningfully as compared to the simple sum score approach. In a comprehensive dataset of diagnostic studies, scoring using complex latent variable models do not improve screening accuracy of the PHQ-9 meaningfully as compared to the simple sum score approach.When humanity has either suppressed coronavirus disease 2019 or learned to come to terms with its continued existence, governments and corporations probably return to their prepandemic stances. Solutions to the world's problems are sought from technology and business innovations, not from considerations of equality and well-being for all. This is in stark contrast with the pandemic-time situation. Many governments, at least initially, listened to the recommendations of expert advisers, most notably public health authorities, who proceeded from considerations of equality and common good. I suggest that we should continue on this path when the immediate threat of the disease is over. Other crises are already ongoing-poverty, conflicts, climate change, financial bubbles, and so on-and it would be good to use expert knowledge rather than interests and ideologies in dealing with them. To assist in this, I outline the characteristics of a new kind of counsellor, impartial adviser, who is normatively motivated by a sense of copathy and who takes into account all views, nice and not-so-nice alike. I illus