Evidence map›Paper›PMID 28061844›Full record

ArticleBMC public health2017

Cardiovascular disease risk factors in a Nigerian population with impaired fasting blood glucose level and diabetes mellitus.

Victor M Oguoma, Ezekiel U Nwose, Ifeoma I Ulasi, Adeseye A Akintunde, Ekene E Chukwukelu, Phillip T Bwititi, Ross S Richards, Timothy C Skinner

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 45 citations in OpenAlex.

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  12. The Interdependence of Blood Pressure and Glucose in Vietnam.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021
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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

8 authors at 4 institutions in 2 countries.

Victor M OguomaSchool of Psychological and Clinical Sciences, Charles Darwin University, Darwin, NT, 0909, Australia. victormaduabuchi.oguoma@cdu.edu.au.
Ezekiel U NwoseSchool of Community Health, Charles Sturt University, Orange, NSW, Australia.
Ifeoma I UlasiCollege of Medicine, University of Nigeria and University of Nigeria Teaching Hospital, Nsukka, Nigeria.
Adeseye A AkintundeDepartment of Internal Medicine, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria.
Ekene E ChukwukeluDepartment of Chemical Pathology, College of Medicine, University of Nigeria Teaching Hospital, Ituku Ozalla, Nigeria.
Phillip T BwititiSchool of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, Australia.
Ross S RichardsSchool of Community Health, Charles Sturt University, Orange, NSW, Australia.
Timothy C SkinnerSchool of Psychological and Clinical Sciences, Charles Darwin University, Darwin, NT, 0909, Australia.
Charles Sturt University · AUCharles Darwin University · AUUniversity of Nigeria Teaching Hospital · NGLadoke Akintola University of Technology · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is a risk factor for cardiovascular diseases (CVDs) and there are reports of increasing prevalence of prediabetes in Nigeria. This study therefore characterised CVDs risk factors in subjects with impaired fasting glucose (IFG) and diabetes.

methodsData from 4 population-based cross-sectional studies on 2447 apparently healthy individuals from 18 - 89 years were analysed. Anthropometric, blood pressure and biochemical parameters were collected and classified. Individuals with IFG (prediabetes) and diabetes were merged each for positive cases of dyslipidaemia, high blood pressure (HBP) or obesity. Optimal Discriminant and Hierarchical Optimal Classification Tree Analysis (HO-CTA) were employed.

resultsOverall prevalence of IFG and diabetes were 5.8% (CI: 4.9 - 6.7%) and 3.1% (CI: 2.4 - 3.8%), respectively. IFG co-morbidity with dyslipidaemia (5.0%; CI: 4.1 - 5.8%) was the highest followed by overweight/obese (3.1%; CI: 2.5 - 3.8%) and HBP (1.8%; CI: 1.3 - 2.4%). The predicted age of IFG or diabetes and their co-morbidity with other CVD risk factors were between 40 - 45 years. Elevated blood level of total cholesterol was the most predictive co-morbid risk factor among IFG and diabetes subjects. Hypertriglyceridaemia was an important risk factor among IFG-normocholesterolaemic-overweight/obese individuals.

conclusionThe higher prevalence of co-morbidity of CVD risk factors with IFG than in diabetes plus the similar age of co-morbidity between IFG and diabetes highlights the need for risk assessment models for prediabetes and education of individuals at risk about factors that mitigate development of diabetes and CVDs.

Indexed as

AdolescentAdultAgedAged, 80 and overBlood GlucoseCardiovascular DiseasesComorbidityCross-Sectional StudiesDiabetes MellitusDyslipidemiasFastingFemaleHumansHyperglycemiaHypertensionMaleBlood GlucoseCo-morbidityCVD risk factorsDiabetesImpaired fasting glucoseNigeriaPrediabetes

Identifiers

PMID28061844
PMCPMC5217152
OpenAlexW2571090208

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.