PASSReviewer 1· 95% conf
The trial design is rigorous with clear randomization, masking, power analysis, and pre-specified inclusion/exclusion criteria.
Evidence
paraphrase[Methods, Randomisation and masking]
“Patients were randomly assigned (1:1) to stepped collaborative care or standard of care using a central, permuted block design (sizes of 2, 4, and 6) stratified by sex (male or female) and prognostic status.”direct quote[Methods, Randomisation and masking]
“The biostatisticians, oncologists, and outcome assessors were masked to patient allocation until 12-month outcome data were collected.”direct quote[Methods, Statistical analysis]
“a sample size of 364 (182 participants per group) would have 80% power to detect a between-group effect (Cohen’s d ) as small as 0·15 and 95% power to detect a within-group effect (Cohen’s d ) as small as 0·10.”PASSReviewer 2· 95% conf
The trial design is rigorous with clear randomization, masking, power analysis, and pre-specified inclusion/exclusion criteria.
Evidence
paraphrase[Methods, Randomisation and masking]
“Patients were randomly assigned (1:1) to stepped collaborative care or standard of care using a central, permuted block design (sizes of 2, 4, and 6) stratified by sex (male or female) and prognostic status.”direct quote[Methods, Randomisation and masking]
“The biostatisticians, oncologists, and outcome assessors were masked to patient allocation until 12-month outcome data were collected.”direct quote[Methods, Statistical analysis]
“a sample size of 364 (182 participants per group) would have 80% power to detect a between-group effect (Cohen’s d ) as small as 0·15 and 95% power to detect a within-group effect (Cohen’s d ) as small as 0·10.”