Evidence map›Paper›PMID 25850976›Full record

ReviewTrends in cardiovascular medicine2015

Depression and cardiovascular disease.

Steven M Bradley, John S Rumsfeld

Abstract readReview
PubMed Publisher
In one paragraph

Review in Trends in cardiovascular medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. Four-year trajectories of depressive symptoms and subsequent risk of hip fracture: evidence from China Health and Retirement Longitudinal Study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Steven M BradleyDepartment of Veterans Affairs, VA Eastern Colorado Health Care System, Denver, CO; Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, CO; Colorado Cardiovascular Outcomes Research Consortium, Denver, CO. Electronic address: Steven.Bradley@va.gov.
John S RumsfeldDepartment of Veterans Affairs, VA Eastern Colorado Health Care System, Denver, CO; Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, CO; Colorado Cardiovascular Outcomes Research Consortium, Denver, CO.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a wealth of evidence linking depression to increased risk for cardiovascular disease (CVD) and worse outcomes among patients with known CVD. In addition, there are safe and effective treatments for depression. Despite this, depression remains under-recognized and undertreated in patients at risk for or living with CVD. In this review, we first summarize the evidence linking depression to increased risk of CVD and worse patient outcomes. We then review the mechanisms by which depression may contribute to cardiovascular risk and poor cardiovascular outcomes. We then summarize prior studies of depression treatment on cardiovascular outcomes. Finally, we offer guidance in the identification and management of depression among CVD populations. Given that 1 in 4 CVD patients has concurrent depression, application of these best-practices will assist providers in achieving optimal outcomes for their CVD patients.

Indexed as

AnimalsCardiovascular DiseasesCooperative BehaviorDepressionHumansInterdisciplinary CommunicationPatient Care TeamPredictive Value of TestsPrognosisRisk AssessmentRisk Factors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.