Evidence map›Paper›PMID 34475172›Full record

ArticleBMJ open2021

Egocentric social network characteristics and cardiovascular risk among patients with hypertension or diabetes in western Kenya: a cross-sectional analysis from the BIGPIC trial.

Samuel G Ruchman, Allison K Delong, Jemima H Kamano, Gerald S Bloomfield, Stavroula A Chrysanthopoulou, Valentin Fuster, Carol R Horowitz, Peninah Kiptoo, Winnie Matelong, Richard Mugo and 6 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02501746 (Bridging Income Generation With Group Integrated Care), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 38% 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.

NCT02501746 nacompletednot on this map

Bridging Income Generation With Group Integrated Care (BIGPIC)

TypeinterventionalSponsorNYU Langone HealthRan2017 to 2019Enrolled2,890ConditionsCardiovascular Disease, DiabetesArmsUsual Clinical Care, Group Medical Visits, Microfinance Groups
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

16 authors at 9 institutions in 2 countries.

Samuel G RuchmanDepartment of Medicine, Department of Pediatrics, University of Colorado, Aurora, Colorado, USA rajesh.vedanthan@nyulangone.org samuel.ruchman@cuanschutz.edu.ORCID 0000-0002-1950-0924
Allison K DelongDepartment of Biostatistics, School of Public Health, Brown University, Providence, Rhode Island, USA.ORCID 0000-0001-8660-8073
Jemima H KamanoDepartment of Medicine, Moi University College of Health Sciences, Eldoret, Kenya.
Gerald S BloomfieldDepartment of Medicine, Duke University, Durham, North Carolina, USA.
Stavroula A ChrysanthopoulouDepartment of Biostatistics, School of Public Health, Brown University, Providence, Rhode Island, USA.
Valentin FusterDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Carol R HorowitzDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Peninah KiptooAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Winnie MatelongAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Richard MugoAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Violet NaanyuDepartment of Sociology, Psychology and Anthropology, School of Arts and Social Sciences, Moi University, Eldoret, Kenya.
Vitalis OrangoAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Sonak D PastakiaDepartment of Pharmacy Practice, Purdue University, West Lafayette, Indiana, USA.
Thomas W ValenteDepartment of Preventive Medicine, University of Southern California, Los Angeles, California, USA.
Joseph W HoganDepartment of Biostatistics, School of Public Health, Brown University, Providence, Rhode Island, USA.
Rajesh VedanthanDepartment of Population Health, NYU Grossman School of Medicine, New York City, New York, USA rajesh.vedanthan@nyulangone.org samuel.ruchman@cuanschutz.edu.ORCID 0000-0001-7138-2382
AMPATH · KEBrown University · USIcahn School of Medicine at Mount Sinai · USMoi University · KEDuke University · USNew York University · USPurdue University West Lafayette · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Southern California · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
Stable Isotope and Metabolomics CoreP60DK020541 · NIDDK · YESHIVA UNIVERSITY · PI PESSIN, JEFFREY E. · 1986 to 2014
$29.8M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Bridging Income Generation with Group Integrated Care (BIGPIC)R01HL125487 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI VEDANTHAN, RAJESH · 2015 to 2019
$3.4M
Brown Moi Partnership for Biostatistics Training in HIV-NAMBARID43TW010050 · FIC · BROWN UNIVERSITY · PI JOSEPH W HOGAN · 2015 to 2026
$3.2M
FIC NIH HHS D43 TW010050NHLBI NIH HHS R01 HL125487NIAID NIH HHS P30 AI042853NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

objectivesManagement of cardiovascular disease (CVD) is an urgent challenge in low-income and middle-income countries, and interventions may require appraisal of patients' social networks to guide implementation. The purpose of this study is to determine whether egocentric social network characteristics (SNCs) of patients with chronic disease in western Kenya are associated with overall CVD risk and individual CVD risk factors.

designCross-sectional analysis of enrollment data (2017-2018) from the Bridging Income Generation with GrouP Integrated Care trial. Non-overlapping trust-only, health advice-only and multiplex (trust and health advice) egocentric social networks were elicited for each participant, and SNCs representing social cohesion were calculated.

setting24 communities across four counties in western Kenya.

participantsParticipants (n=2890) were ≥35 years old with diabetes (fasting glucose ≥7 mmol/L) or hypertension. PRIMARY AND SECONDARY OUTCOMES: We hypothesised that SNCs would be associated with CVD risk status (QRISK3 score). Secondary outcomes were individual CVD risk factors.

resultsAmong the 2890 participants, 2020 (70%) were women, and mean (SD) age was 60.7 (12.1) years. Forty-four per cent of participants had elevated QRISK3 score (≥10%). No relationship was observed between QRISK3 level and SNCs. In unadjusted comparisons, participants with any individuals in their trust network were more likely to report a good than a poor diet (41% vs 21%). SNCs for the trust and multiplex networks accounted for a substantial fraction of variation in measures of dietary quality and physical activity (statistically significant via likelihood ratio test, adjusted for false discovery rate).

conclusionSNCs indicative of social cohesion appear to be associated with individual behavioural CVD risk factors, although not with overall CVD risk score. Understanding how SNCs of patients with chronic diseases relate to modifiable CVD risk factors could help inform network-based interventions. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov identifier: NCT02501746; https://clinicaltrials.gov/ct2/show/NCT02501746.

Indexed as

Cardiovascular DiseasesDiabetes MellitusHypertensionAdultCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansKenyaMiddle AgedRisk FactorsSocial Networkingcardiologyepidemiologyhypertensionpublic health

Identifiers

PMID34475172
PMCPMC8413931
OpenAlexW3196394328

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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.