Evidence map›Paper›PMID 31809516›Full record

ArticlePloS one2019

Dyslipidemias and cardiovascular risk scores in urban and rural populations in north-western Tanzania and southern Uganda.

Bazil Kavishe, Fiona Vanobberghen, David Katende, Saidi Kapiga, Paula Munderi, Kathy Baisley, Samuel Biraro, Neema Mosha, Gerald Mutungi, Janneth Mghamba and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genes, environment, and African ancestry in cardiometabolic disorders.Trends in endocrinology and metabolism: TEM · 2023
    Review
  5. Article
  6. Article
  7. 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

14 authors at 6 institutions in 4 countries.

Bazil KavisheMwanza Intervention Trials Unit, National Institute for Medical Research, Mwanza, Tanzania.ORCID 0000-0003-4839-4590
Fiona VanobberghenMwanza Intervention Trials Unit, National Institute for Medical Research, Mwanza, Tanzania.
David KatendeMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Research Unit, Entebbe, Uganda.
Saidi KapigaMwanza Intervention Trials Unit, National Institute for Medical Research, Mwanza, Tanzania.
Paula MunderiMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Research Unit, Entebbe, Uganda.
Kathy BaisleyMRC Tropical Epidemiology Group, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Samuel BiraroMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Research Unit, Entebbe, Uganda.
Neema MoshaMwanza Intervention Trials Unit, National Institute for Medical Research, Mwanza, Tanzania.
Gerald MutungiMinistry of Health, Kampala, Uganda.
Janneth MghambaMinistry of Health Community Development Gender Elderly and Children, Dar es Salaam, Tanzania.
Peter HughesMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Research Unit, Entebbe, Uganda.
Liam SmeethMRC Tropical Epidemiology Group, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Heiner GrosskurthMwanza Intervention Trials Unit, National Institute for Medical Research, Mwanza, Tanzania.
Robert PeckMwanza Intervention Trials Unit, National Institute for Medical Research, Mwanza, Tanzania.
London School of Hygiene & Tropical Medicine · GBUganda Virus Research Institute · UGMwanza Intervention Trials Unit · TZCornell University · USMinistry of Health · UGMinistry of Health, Community Development, Gender, Elderly and Children · TZ

Funding

Hypertension in HIV-Infected Tanzanians: Time Course and PathogenesisK01TW010281 · FIC · WEILL MEDICAL COLL OF CORNELL UNIV · PI PECK, ROBERT N · 2015 to 2019
$689k
FIC NIH HHS K01 TW010281Medical Research Council 99430Medical Research Council G0901756Medical Research Council G1002650Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundDyslipidemia is a leading risk factor for atherosclerotic cardiovascular disease. There are few published epidemiological data regarding dyslipidemia in Africa. We determined full lipid and apolipoprotein profiles and investigated factors associated with lipid levels in urban and rural populations of north-western Tanzania and southern Uganda.

methodsWe conducted a cross-sectional survey of randomly-selected, community-dwelling adults (≥18yrs) including five strata per country: one municipality, two district towns and two rural areas. Participants were interviewed and examined using the World Health Organization STEPwise survey questionnaire. Serum levels of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, and apolipoproteins were measured. Factors associated with mean lipid levels were assessed by multivariable linear regression. Framingham 10-year cardiovascular risk scores were calculated with and without lipids.

resultsOne-third of adults in the study population had dyslipidemia. Low high-density lipoprotein cholesterol affected 32-45% of rural adults. High total cholesterol, low-density lipoprotein cholesterol, and apolipoprotein B were found in <15% of adult population in all strata, but were more common in urban adults. Factors independently associated with higher mean low-density lipoprotein cholesterol and apolipoprotein B were female gender, older age, higher education, higher income, obesity, and hypertension. Framingham cardiovascular risk scores with and without lipids yielded similar results and 90% of study subjects in all strata were classified as "low risk". Among older adults (>55 years), 30% were classified as "high" or "very high" risk.

conclusionsDyslipidemias are common among adults in north-western Tanzania and southern Uganda affecting one third of adult population. Overall, cardiovascular risk scores are low but high risk scores are common with older adults. Health services designed and equipped to diagnose and treat dyslipidemia are urgently needed.

Indexed as

AdultApolipoproteinsCardiovascular DiseasesCardiovascular SystemCholesterolCholesterol, HDLCholesterol, LDLCross-Sectional StudiesDyslipidemiasFemaleHumansHypertensionLipidsMaleMiddle AgedObesityApolipoproteinsCholesterolCholesterol, HDLCholesterol, LDLLipidsTriglycerides

Identifiers

PMID31809516
PMCPMC6897412
OpenAlexW2993089931

What OpenQuestion 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 OpenQuestion graph.