MétaCan
Menu
Back to cohort
Record W2891410395 · doi:10.1177/2381468318799361

Screening for Anxiety and Depressive Symptoms in Type 2 Diabetes Using Patient-Reported Outcome Measures: Comparative Performance of the EQ-5D-5L and SF-12v2

2018· article· en· W2891410395 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMDM Policy & Practice · 2018
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnxietyDepression (economics)MedicineDepressive symptomsPopulationType 2 diabetesGeneralized anxiety disorderMental healthPsychiatryDiabetes mellitusClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

Objective. To evaluate the performance of EQ-5D-5L (EuroQol Five-Dimension, Five-Level Questionnaire) and SF-12-v2 (12-item Medical Outcomes Health Survey–Short Form, Version 2) in screening for anxiety and depressive symptoms in adults with type 2 diabetes. Methods. Cross-sectional data from a population-based study of type 2 diabetes in Alberta, Canada, were used. Anxiety symptoms (using the 2-item Generalized Anxiety Disorder questionnaire) were categorized into absent (<3) versus present (≥3). Depressive symptoms (using the 8-item Patient Health Questionnaire) were categorized according to two severity cut-points: absent (<10) versus mild (≥10), and absent (<15) versus moderate-severe (≥15). The performance of the measures in screening for anxiety and depressive symptoms was evaluated using receiver operating curve (ROC) analysis. Results. Average age of participants ( N = 1,391) was 66.8 years (SD 10.2), and 47% were female. Seventeen percent of participants screened positive for mild and 5.9% for moderate-severe depressive symptoms, and 11.3% for anxiety symptoms. For comorbid symptoms, 8.6% screened positive for anxiety and any depressive symptoms, and 4.6% for anxiety and moderate-severe depressive symptoms. The EQ-5D-5L anxiety/depression dimension and the SF-12 mental composite summary score had the best performance in screening for anxiety (area under ROC: 0.89, 0.89, respectively), depressive symptoms (any: 0.88, 0.92; moderate-severe: 0.90, 0.90), and comorbid anxiety and depressive symptoms (any: 0.92, 0.91; moderate-severe: 0.92, 0.90). These were followed by SF-12 feeling downhearted/depressed item (range = 0.83–0.85), while the lowest performance was for the EQ-5D-5L index score (0.80–0.84) and the SF-12 mental health domain (0.81–0.82). Conclusion. The EQ-5D-5L and the SF-12 are suitable tools for screening for anxiety and depressive symptoms in adults with type 2 diabetes. These tools present a unique opportunity for a standardized approach for routine mental health screening within the context of routine outcome measurement initiatives, where screening is recommended.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.366
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it