Evidence mapPaperPMID 39280476Full record

ReviewCureus2024

The Associations Between Obesity and Deep Vein Thrombosis in Patients With Cardiovascular Disease: A Narrative Review.

Cynthia Sanchez, Katherine Miller, Rhea Raj, Kesava Mandalaneni, Sudhakar Pemminati, Vasavi R Gorantla

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Cynthia SanchezSchool of Medicine, St. George's University, St. George, GRD.
Katherine MillerSchool of Medicine, St. George's University, St. George's, GRD.
Rhea RajSchool of Medicine, St. George's University, St. George's, GRD.
Kesava MandalaneniNeuroscience, Oakland University William Beaumont School of Medicine, Rochester Hills, USA.
Sudhakar PemminatiPharmacology, California Health Sciences University College of Osteopathic Medicine, Clovis, USA.
Vasavi R GorantlaBiomedical Sciences, West Virginia School of Osteopathic Medicine, Lewisburg, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article provides an in-depth review of the relationship between obesity and deep vein thrombosis (DVT) in patients with cardiovascular disease (CVD). Our aim is to enhance understanding of the associations between obesity and DVT, particularly in patients with comorbid cardiovascular conditions. This relationship, although significant, is often underrepresented in discussions about obesity and DVT. Current research frequently lacks clarity on whether studies of obesity and DVT account for the presence of coexisting CVD. We draw on data from systematic reviews, meta-analyses, and other peer-reviewed medical journals that focus on individuals who are overweight or obese and their association with DVT and CVD. The review begins with an introduction to cardiovascular disease, venous thromboembolic disease, and obesity. We then examine potential links between obesity and DVT, emphasizing the roles of gender, venous stasis, chronic inflammation, and decreased fibrinolytic activity. Key findings suggest that while obesity may contribute to the development of DVT, this association is not significantly affected by adjustments for cardiovascular risk factors. The review highlights the need for further research, specifically targeting studies that investigate cardiovascular disease as an underlying risk factor in obese individuals who develop DVT.

Indexed as

cardiovascular diseasedeep vein thrombosisobesitypulmonary embolismtherapeutic anticoagulation

Identifiers

PMID39280476
PMCPMC11393520

What Socratic holds

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Registered trials

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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 Socratic graph.