Evidence map›Paper›PMID 41568545›Full record

ArticleJournal of the American Heart Association2026

Cardiovascular Risk Management in Adults With Diagnosed Diabetes in Mexico From 2016 to 2023: A Retrospective Analysis of Nationally Representative Surveys.

Daniel Ramírez-García, Jerónimo Perezalonso-Espinosa, Padme Nailea Méndez-Labra, Carlos A Fermín-Martínez, Juan Pablo Díaz-Sánchez, César Daniel Paz-Cabrera, Arsenio Vargas-Vázquez, Miriam Teresa López-Teros, David Flood, Jennifer Manne-Ghoeler and 4 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Daniel Ramírez-GarcíaResearch Division, Instituto Nacional de Geriatría Mexico City Mexico.ORCID 0000-0002-6899-246X
Jerónimo Perezalonso-EspinosaResearch Division, Instituto Nacional de Geriatría Mexico City Mexico.ORCID 0009-0002-9774-1210
Padme Nailea Méndez-LabraResearch Division, Instituto Nacional de Geriatría Mexico City Mexico.
Carlos A Fermín-MartínezResearch Division, Instituto Nacional de Geriatría Mexico City Mexico.ORCID 0000-0001-5627-8851
Juan Pablo Díaz-SánchezResearch Division, Instituto Nacional de Geriatría Mexico City Mexico.ORCID 0000-0002-2741-9237
César Daniel Paz-CabreraResearch Division, Instituto Nacional de Geriatría Mexico City Mexico.ORCID 0000-0003-0678-4830
Arsenio Vargas-VázquezFacultad de Medicina, Universidad Nacional Autónoma de México Mexico City Mexico.ORCID 0000-0002-0051-7689
Miriam Teresa López-TerosNutrition Division, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán Mexico City Mexico.ORCID 0000-0001-9486-005X
David FloodDepartment of Medicine University of Michigan Ann Arbor Michigan USA.
Jennifer Manne-GhoelerDivision of Infectious Diseases Massachusetts General Hospital Boston Massachusetts USA.ORCID 0000-0001-9295-0035
Neftali Eduardo Antonio-VillaDepartment of Global Health and Population Harvard T.H. Chan School of Public Health Boston Massachusetts USA.
Goodarz DanaeiDepartment of Global Health and Population Harvard T.H. Chan School of Public Health Boston Massachusetts USA.ORCID 0000-0003-2456-5463
Jacqueline A SeiglieDiabetes Unit, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA.ORCID 0000-0001-9278-4516
Omar Yaxmehen Bello-ChavollaResearch Division, Instituto Nacional de Geriatría Mexico City Mexico.ORCID 0000-0003-3093-937X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective cardiovascular disease (CVD) risk management is essential for optimal diabetes care. Here, we estimated the prevalence and determinants of CVD risk factor control among individuals with diagnosed diabetes in Mexico.

methodsWe analyzed data from individuals ≥20 years with diagnosed diabetes from 2016 to 2023 Mexican National Health and Nutrition Surveys. We estimated the prevalence of glycemic, blood pressure, noncurrent smoking, low-density lipoprotein cholesterol, and combined CVD risk factor control. We estimated use of blood pressure-lowering, cholesterol-lowering, and glucose-lowering medication and explored determinants of control achievement using logistic regression.

resultsWe analyzed data from 2916 participants, representing 43.2 million adults with diagnosed diabetes during 2016 to 2023. In 2023, glycemic control was 29% (95% CI, 21%-38%), blood pressure control 22.9% (95% CI, 14%-31%), and noncurrent smoking 89% (95% CI, 81%-96%). The prevalence of high or very-high CVD risk using Systematic Coronary Risk Evaluation 2-Diabetes increased from 59.8% (95% CI, 52.1%-67.0%) in 2016 to 68.4% (95% CI, 55.6%-78.9%) in 2023, representing ~5.1 million adults. Low-density lipoprotein cholesterol control increased from 2.8% (95% CI, 1.2%-4.4%) in 2016 to 6.6% (95% CI, 1.9%-11.2%) in 2023 and statin use from 5.5% in 2016 to 63% in 2023. Combined risk factor control achievement was low due to suboptimal low-density lipoprotein cholesterol control and was more likely achieved in women, younger individuals, and those with college education or living in states with higher socioeconomic position.

conclusionsDespite increasing CVD risk during this period, glycemic and CVD risk factor management for adults with diabetes in Mexico remains suboptimal. Our findings suggest a need for strategies to improve CVD risk management to reduce diabetes-related mortality and complications.

Indexed as

Cardiovascular DiseasesDiabetes MellitusAdultAgedBlood GlucoseFemaleGlycemic ControlHeart Disease Risk FactorsHumansHypoglycemic AgentsMaleMexicoMiddle AgedNutrition SurveysPrevalenceRetrospective StudiesBlood GlucoseHypoglycemic Agentsblood pressurediabetesglycemic controlLDL‐C controlMexicoSCORE2‐Diabetes

Identifiers

PMID41568545
PMCPMC13055452

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.