Evidence map›Paper›PMID 38232087›Full record

ArticlePLOS global public health2024

The diabetes care continuum in Venezuela: Cross-sectional and longitudinal analyses to evaluate engagement and retention in care.

Dina Goodman-Palmer, Juan P González-Rivas, Lindsay M Jaacks, Maritza Duran, María Inés Marulanda, Eunice Ugel, Jorge E Chavarro, Goodarz Danaei, Ramfis Nieto-Martinez

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 5 institutions in 4 countries.

Dina Goodman-PalmerDepartment of Global Health and Population and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-9997-4603
Juan P González-RivasDepartment of Global Health and Population and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Lindsay M JaacksDepartment of Global Health and Population and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-7791-5167
Maritza DuranFoundation for Clinic, Public Health and Epidemiology Research of Venezuela (FISPEVEN, INC), Caracas, Venezuela.
María Inés MarulandaFoundation for Clinic, Public Health and Epidemiology Research of Venezuela (FISPEVEN, INC), Caracas, Venezuela.
Eunice UgelDepartment of Global Health and Population and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-6049-3351
Jorge E ChavarroDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Goodarz DanaeiDepartment of Global Health and Population and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Ramfis Nieto-MartinezDepartment of Global Health and Population and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-0575-7534
Harvard Global Health Institute · USFlorida Urology Associates · USHarvard University · USInternational Clinical Research Center, St. Anne's University Hospital Brno · CZUniversidad Centroccidental Lisandro Alvarado · VE

Funding

CVD Epidemiology Training Program in Behavior, the Environment and Global HealthT32HL098048 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Goodarz Danaei, ERIC B RIMM · 2009 to 2026
$6.9M
NHLBI NIH HHS T32 HL098048
6 · The paper itself

Abstract

The impact of the humanitarian crisis in Venezuela on care for noncommunicable diseases (NCDs) such as diabetes is unknown. This study aims to document health system performance for diabetes management in Venezuela during the humanitarian crisis. This longitudinal study on NCDs is nationally representative at baseline (2014-2017) and has follow-up (2018-2020) data on 35% of participants. Separate analyses of the baseline population with diabetes (n = 585) and the longitudinal population with diabetes (n = 210) were conducted. Baseline analyses constructed a weighted care continuum: all diabetes; diagnosed; treated; achieved glycaemic control; achieved blood pressure, cholesterol, and glycaemic control; and achieved aforementioned control plus non-smoking. Weighted multinomial regression models controlling for region were used to estimate the association between socio-demographic characteristics and care continuum stage. Longitudinal analyses constructed an unweighted care continuum: all diabetes; diagnosed; treated; and achieved glycaemic control. Unweighted multinomial regression models controlling for region were used to estimate the association between socio-demographic characteristics and changes in care continuum stage. Among 585 participants with diabetes at baseline, 71% were diagnosed, 51% were on treatment, and 32% had achieved glycaemic control. Among 210 participants with diabetes in the longitudinal population, 50 (24%) participants' diabetes management worsened, while 40 (19%) participants improved. Specifically, the proportion of those treated decreased (60% in 2014-2017 to 51% in 2018-2020), while the proportion of participants achieving glycaemic control did not change. Although treatment rates have declined substantially among people with diabetes in Venezuela, management changed less than expected during the crisis.

Identifiers

PMID38232087
PMCPMC10793920
OpenAlexW4390954746

What OpenQuestion holds

Textmetadata
LicenceCC0
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.