Evidence map›Paper›PMID 32257155›Full record

ArticleJournal of global health2020

To fast or not to fast: Lipid measurement and cardiovascular disease risk estimation in rural sub-Saharan Africa.

Isabelle T Yang, Linda C Hemphill, June-Ho Kim, Prossy Bibangambah, Ruth Sentongo, Bernard Kakuhire, Jorge Plutzky, Yap Boum, Alexander C Tsai, Samson Okello and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  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

11 authors at 5 institutions in 2 countries.

Isabelle T YangGeisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Linda C HemphillHarvard Medical School, Boston, Massachusetts, USA.
June-Ho KimHarvard Medical School, Boston, Massachusetts, USA.
Prossy BibangambahMbarara University of Science and Technology, Mbarara, Uganda.
Ruth SentongoMbarara University of Science and Technology, Mbarara, Uganda.
Bernard KakuhireMbarara University of Science and Technology, Mbarara, Uganda.
Jorge PlutzkyBrigham and Women's Hospital, Boston, Massachusetts, USA.
Yap BoumMbarara University of Science and Technology, Mbarara, Uganda.
Alexander C TsaiHarvard Medical School, Boston, Massachusetts, USA.
Samson OkelloMbarara University of Science and Technology, Mbarara, Uganda.
Mark J SiednerHarvard Medical School, Boston, Massachusetts, USA.
Mbarara University of Science and Technology · UGMassachusetts General Hospital · USBrigham and Women's Hospital · USDartmouth College · USEpicentre Uganda · UG

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
Social Networks, HIV Stigma, and the HIV Care Cascade in Rural UgandaR01MH113494 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI TSAI, ALEXANDER C · 2017 to 2021
$3.2M
Epidemiology of coronary artery disease among people with HIV in rural sub-Saharan AfricaR01HL141053 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SIEDNER, MARK J · 2018 to 2021
$3.0M
Developing Research At The Interface Of HIV And AgingR24AG044325 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HIGH, KEVIN P. · 2013 to 2017
$2.4M
Behavioral Aspects of Low-cost Medical Devices to Improve HIV CareK23MH099916 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SIEDNER, MARK J · 2013 to 2017
$917k
Epidemiology of atherosclerosis among older-age individuals with HIV in UgandaR21HL124712 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SIEDNER, MARK J · 2014 to 2015
$332k
NHLBI NIH HHS R01 HL141053NHLBI NIH HHS R21 HL124712NIAID NIH HHS P30 AI060354NIA NIH HHS R24 AG044325NIMH NIH HHS K23 MH099916NIMH NIH HHS R01 MH113494
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) morbidity and mortality are increasing in sub-Saharan Africa (sSA), highlighting the need for tools to enable CVD risk stratification in the region. Although non-HDL-cholesterol (nHDL-C) has been promoted as a method to measure lipids without a requirement for fasting in the USA, its diagnostic validity has not been assessed in sSA. We sought to estimate: 1) the association between LDL-cholesterol (LDL-C) and nHDL-C, 2) the impact of fasting on their measurement, and 3) their correlation with carotid atherosclerosis, within a rural Ugandan population with high HIV prevalence.

methodsWe collected traditional CVD risk factors, blood for serum lipid levels, self-reported fasting status, and performed carotid ultrasonography in 301 participants in rural Uganda. We fit regression models, stratified by fasting status, to estimate associations between carotid intima media thickness (cIMT), LDL-C, and nHDL-C.

resultsMedian age was 50 years (interquartile range = 46-54), 49% were female, 51% were HIV-positive, and at the time of blood collection, 70% had fasted overnight. Mean LDL-C, nHDL-C, and triglycerides in the non-fasting and fasting groups were 85 vs 88 mg/dL (

conclusionsWe found a high correlation between LDL-C and nHDL-C, and both were correlated with cIMT, irrespective of fasting or HIV serostatus in rural Uganda. Our findings support use of either fasting or non-fasting serum lipids for CVD risk estimation in rural sSA.

Indexed as

Carotid Intima-Media ThicknessFastingRural PopulationAdultBiomarkersCardiovascular DiseasesCarotid ArteriesCarotid Artery DiseasesCholesterol, HDLCholesterol, LDLCoronary Artery DiseaseFemaleHumansMaleMiddle AgedRisk AssessmentBiomarkersCholesterol, HDLCholesterol, LDLTriglycerides

Identifiers

PMID32257155
PMCPMC7101029
OpenAlexW3011575470

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.