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Anthony McGuire

Researcher at Saint Joseph's College

Publications -  17
Citations -  783

Anthony McGuire is an academic researcher from Saint Joseph's College. The author has contributed to research in topics: Patient Health Questionnaire & Depression (differential diagnoses). The author has an hindex of 11, co-authored 14 publications receiving 438 citations. Previous affiliations of Anthony McGuire include California State University, Long Beach & University of California, Los Angeles.

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Journal ArticleDOI

Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis

Brooke Levis, +148 more
- 09 Jun 2020 - 
TL;DR: The combination was estimated to reduce the number of participants needing to complete the full PHQ-9 by 57% (56%-58%) and to understand the clinical and research value of this combined approach to screening.
Journal ArticleDOI

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: A systematic review and individual participant data meta-analysis

Yin Wu, +78 more
TL;DR: Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar, and bivariate random-effects models to assess diagnostic accuracy were similar.
Journal ArticleDOI

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

Brooke Levis, +75 more
TL;DR: PHQ-9 ≥ 10 substantially overestimates depression prevalence because of too much heterogeneity to correct statistically in individual studies, and an alternative PHZ-9 cutoff could more accurately estimate prevalence.
Journal ArticleDOI

Recovering From Cardiac Surgery: What Patients Want You To Know

TL;DR: Patients want nurses and doctors to provide a smooth transition to home, recognize the patients as individuals, prepare them honestly for their experiences with specific information, and manage pain and sleep.
Journal ArticleDOI

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis.

Chen He, +115 more
TL;DR: An individual participant data meta-analysis is used to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHZ-9 cutoff score of ≥10.