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Are MEDLINE searches sufficient for systematic reviews and meta-analyses of the diagnostic accuracy of depression screening tools? A review of meta-analyses

Author(s): Rice DB; Kloda LA; Levis B; Qi B; Kingsland E; Thombs BD;

Objective: Database searches for studies of diagnostic test accuracy are notoriously difficult to filter, highly resource-intensive, and a potential barrier to quality evidence synthesis. We examined published meta-analyses of depression screening tool accu ...

Article GUID: 27411746


Reporting quality in abstracts of meta-analyses of depression screening tool accuracy: a review of systematic reviews and meta-analyses

Author(s): Rice DB; Kloda LA; Shrier I; Thombs BD;

Objective: Concerns have been raised regarding the quality and completeness of abstract reporting in evidence reviews, but this had not been evaluated in meta-analyses of diagnostic accuracy. Our objective was to evaluate reporting quality and completeness ...

Article GUID: 27864250


Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data

Author(s): Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; E ...

Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and l ...

Article GUID: 37385392


How uncertainty affects information search among consumers: a curvilinear perspective

Author(s): He S; Rucker DD;

Uncertainty is an inherent part of consumers' environment. A large literature in marketing and related disciplines has found a positive relationship between uncertainty and information search: as consumers' uncertainty about a brand, product, or ser ...

Article GUID: 36471868


Transparency and completeness of reporting of depression screening tool accuracy studies: A meta-research review of adherence to the Standards for Reporting of Diagnostic Accuracy Studies statement

Author(s): Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD;

Objectives: Accurate and complete study reporting allows evidence users to critically appraise studies, evaluate possible bias, and assess generalizability and applicability. We evaluated the extent to which recent studies on depression screening accuracy w ...

Article GUID: 36047034


Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021

Author(s): Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD;

Objectives: Depression screening tool accuracy studies should be conducted with large enough sample sizes to generate precise accuracy estimates. We assessed the proportion of recently published depression screening tool diagnostic accuracy studies that rep ...

Article GUID: 35362161


Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021

Author(s): Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD;

Objectives: Screening is done to improve health outcomes by identifying and effectively treating individuals with unrecognized conditions. Depression screening has been proposed to identify previously unrecognized depression cases. Including individuals alr ...

Article GUID: 35334411


A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines

Author(s): OmidYeganeh M; Khalili-Mahani N; Bermudez P; Ross A; Lepage C; Vincent RD; Jeon S; Lewis LB; Das S; Zijdenbos AP; Rioux P; Adalat R; Van Eed ...

In recent years, the replicability of neuroimaging findings has become an important concern to the research community. Neuroimaging pipelines consist of myriad numerical procedures, which can have ...

Article GUID: 34381348


Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data

Author(s): Bhandari PM; Levis B; Neupane D; Patten SB; Shrier I; Thombs BD; Benedetti A;

Objective: To evaluate, across multiple sample sizes, the degree that data-driven methods result in (1) optimal cutoffs different from population optimal cutoff and (2) bias in accuracy estimates. Study design and setting: A total of 1,000 samples of sampl ...

Article GUID: 33838273


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

Author(s): Wu Y; Levis B; Riehm KE; Saadat N; Levis AW; Azar M; Rice DB; Boruff J; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; McMillan D; Patten S ...

Background: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most posit ...

Article GUID: 31298180


Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses.

Author(s): Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I, ...

BMJ Open. 2016 Apr 13;6(4):e011913 Authors: Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I, Steele RJ, ...

Article GUID: 27075844


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