Depression in patients with peripheral arterial disease: A systematic review
Bibliographic record
Abstract
OBJECTIVES: The association between cardiovascular disease and depression is well-established. Peripheral arterial disease arises from atherosclerosis like other cardiovascular disease, but unlike other cardiovascular disease, it impairs ambulation and lower extremity function. Given peripheral arterial disease's unique characteristics and underrepresentation in mental health research, we aimed to: (a) assess the prevalence of depression or depressive symptoms among peripheral arterial disease patients compared to coronary artery disease rates, (b) assess whether an independent association between peripheral arterial disease and depression exists, and (c) identify associated factors that may be targeted for intervention. DESIGN: This study was based on a systematic review. MATERIALS AND METHODS: Electronic databases were searched to identify studies that examined peripheral arterial disease and depression or depressive symptoms. Methodological quality was assessed using the Newcastle-Ottawa Scale. RESULTS: We identified 28 studies. Prevalence of depression or depressive symptoms ranged from 11-48% in 12 cross-sectional studies, and from 3-36% in 16 longitudinal studies, which is comparable to reported coronary artery disease rates. Depressed peripheral arterial disease patients were more likely to be female, African American, and have more severe peripheral arterial disease symptoms and more compromised physical function compared to non-depressed patients. There is evidence to suggest that depression exerts a negative influence on walking ability and physical function independently of peripheral arterial disease. CONCLUSIONS: There is a critical need to address depression in peripheral arterial disease patients, particularly those with characteristics that place them at increased risk. Vascular care providers appear to be the primary contact for assessing depressive symptoms, and once identified, integrated mental health providers may intervene to prevent the worsening of both depression and peripheral arterial disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".