Evidence map›Paper›PMID 34322301›Full record

ArticleAmerican journal of cardiovascular disease2021

Cardiovascular event risk estimation among residents of a rural setting in Bayelsa state, Nigeria.

Tamaraemumoemi Emmanuella Okoro, Johnbull Jumbo

Open access · greenAbstract read
In one paragraph

Article in American journal of cardiovascular disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 30% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Tamaraemumoemi Emmanuella OkoroDepartment of Internal Medicine, Niger Delta University Teaching Hospital Okolobiri, Bayelsa State, Nigeria.
Johnbull JumboDepartment of Internal Medicine, Niger Delta University Teaching Hospital Okolobiri, Bayelsa State, Nigeria.
Niger Delta University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVD) are a leading cause of death worldwide. There is a rising prevalence of CVDs in Nigeria, including in rural communities. The present study assessed the total CVD risk among two rural communities in Bayelsa State, South-south Nigeria. Adults aged ≥ 40 years in 264 randomly selected households in two rural communities in Bayelsa State were interviewed in this descriptive cross-sectional survey. Using a structured questionnaire, data on socio-demographic characteristics, anthropometry, blood pressure (BP) and random blood sugar measurements were obtained. The WHO/ISH risk assessment chart for the African sub-region was used to estimate the 10-year total risk of fatal or non-fatal CVD events using five predictor variables: age, gender, smoking, systolic BP, and coexistence of diabetes mellitus (DM). Of the 264 participants, majority was men (70.1%) and married (93.2%). Mean age was 50.9±8.1 years. Most participants were overweight (53.4%), add salt to food on table (97.0%), lead a sedentary lifestyle (79.2%) and greater than a third of participants (36.7%) were known hypertensive patients. Using the WHO/ISH risk prediction chart for Africa, 90.0% and 10.0% of the study population had low and moderate risk, respectively of developing cardiovascular events in 10 years. As the age of participants increases, the 10-year risk of a cardiovascular event increased (

Indexed as

10-year total risk of fatal or non-fatal CVD eventsCardiovascular diseasesrisk categoriesrural communitiesWHO/ISH risk prediction chart

Identifiers

PMID34322301
PMCPMC8303047
OpenAlexW3183540274

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.