Evidence map›Paper›PMID 34824993›Full record

ArticleAnnals of global health2021

Bipolar Disorder and Cardiovascular Risk in Rural versus Urban Populations in Colombia: A Comparative Clinical and Epidemiological Evaluation.

Juan Pablo Forero, Alexander Ferrera, Jose Daniel Castaño, Sergio Ardila, Tanya Mesa, Dean Hosgood, Eugenio Ferro

Abstract read
In one paragraph

Article in Annals of global health, 2021. 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. Article
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

7 authors.

Juan Pablo ForeroAlbert Einstein College of Medicine (AECOM), 1300 Morris Park Ave, Bronx, NY, USA 10461.ORCID 0000-0002-2524-332X
Alexander FerreraAlbert Einstein College of Medicine (AECOM), 1300 Morris Park Ave, Bronx, NY, USA 10461.
Jose Daniel CastañoE.S.E. Hospital San Bernardo, Cll. 9 Cra. 5, Filadelfia, Caldas, Colombia.
Sergio ArdilaInstituto Colombiano del Sistema Nervioso, Cll. 134 #17-71, Bogota D.C., Colombia.
Tanya MesaInstituto Colombiano del Sistema Nervioso, Cll. 134 #17-71, Bogota D.C., Colombia.
Dean HosgoodAlbert Einstein College of Medicine (AECOM), 1300 Morris Park Ave, Bronx, NY, USA 10461.
Eugenio FerroInstituto Colombiano del Sistema Nervioso, Cll. 134 #17-71, Bogota D.C., Colombia.ORCID 0000-0002-2127-7696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Various multifactorial elements may contribute toward the urban and rural disparities in cardiovascular disease (CVD) risk, particularly among patients with psychiatric diseases. Objective: To investigate whether rural patients diagnosed and treated for Bipolar Disorder (BD) have different risk profiles and outcomes of CVD compared to urban (BD) patients. Methods: We conducted a case-control study that included 125 BD patients (cases) from rural Filadelfia, Colombia and 250 BD patients (controls) treated in Bogotá, Colombia. Cases and controls were 2:1, matched by age and sex. We applied the Framingham Heart Study (FHS) risk calculator to assess risk. Differences by rural/urban status (i.e., case-control status) were assessed by chi-square, paired t-tests, and logistic regression. Findings: Rural BD patients were found to have lower education (p = 1.0 × 10 Conclusion: Based on increase in morbidity but lower predictive risk in the rural population, our study suggests that the FHS-CVD calculator may not be optimal to assess CVD risk in this population.

Indexed as

Bipolar DisorderCardiovascular DiseasesCase-Control StudiesColombiaHeart Disease Risk FactorsHumansRisk FactorsRural PopulationUrban Population

Identifiers

PMID34824993
PMCPMC8603855

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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 OpenQuestion graph.