Evidence map›Paper›PMID 42890492›Full record

ArticleDiabetes, obesity, and cardiometabolic CARE

Interventions to Prevent Diabetes in Latin America: A Systematic Review of the Literature.

Julie Zuniga, Wilson Kimutai, Mercy Chepkemoi, Erika Moreno, Zachary Hagner, Heather Cuevas, Rebecca Cook, Alexandra A García, Martha Elba Gonzalez, Ricardo Ainslie and 4 more

Abstract read
In one paragraph

Article in Diabetes, obesity, and cardiometabolic CARE. 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
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.

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

14 authors.

Julie ZunigaThe University of Texas at Austin School of Nursing, Austin, TX.ORCID https://orcid.org/0000-0003-3778-8148
Wilson KimutaiMoi University, Eldoret, Kenya.
Mercy ChepkemoiMoi University, Eldoret, Kenya.
Erika MorenoUniversidad Nacional de Colombia, Bogota, Colombia.
Zachary HagnerBenemérita Universidad Autónoma de Puebla, Puebla, Mexico.
Heather CuevasThe University of Texas at Austin School of Nursing, Austin, TX.
Rebecca CookThe University of Texas at Austin Dell Medical School, Austin, TX.
Alexandra A GarcíaThe University of Texas at Austin School of Nursing, Austin, TX.
Martha Elba GonzalezBenemérita Universidad Autónoma de Puebla, Puebla, Mexico.
Ricardo AinslieThe University of Texas at Austin Dell Medical School, Austin, TX.
Enrique Torres-RasgadoBenemérita Universidad Autónoma de Puebla, Puebla, Mexico.
Ana Basto-AbreuCenter for Population Health Research, National Institute of Public Health, Cuernavaca, Mexico.
Victor BlancoBenemérita Universidad Autónoma de Puebla, Puebla, Mexico.
Tim MercerThe University of Texas at Austin Dell Medical School, Austin, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than 40 million people living in Latin America have been diagnosed with diabetes, and this number is expected to increase. As the risk of diabetes and diabetes mortality increases, diabetes interventions tailored specifically for individuals in Latin America are essential. PURPOSE: To identify components of diabetes interventions that effectively reduce diabetes risk to inform interventions for Latin American populations. DATA SOURCES: Systematic review of PubMed, CINAHL, LILACS, and Web of Science was performed from 2013 to 2025. STUDY SELECTION: Studies testing interventions to prevent diabetes in Latin America were included. Studies were assessed for bias using the Critical Appraisal Skills Programme. DATA EXTRACTION: Intervention elements and outcomes, including HbA DATA SYNTHESIS: The analysis included 11 articles. The majority significantly reduced the risk of diabetes, as assessed by markers including HbA LIMITATIONS: Studies that did not contain the keywords used for the search or were indexed only in other databases may have been missed. Heterogeneity of study interventions and outcomes prevented a quantitative synthesis of effect sizes. Half of the included studies did not test interventions against a control or comparison group, limiting conclusions about their effectiveness.

conclusionsAlthough more rigorous studies are needed, interventions with interdisciplinary teams and multiple phases can potentially reduce diabetes risk. Interventions that follow participants for an extended period may be more successful over the long term.

Identifiers

PMID42890492
PMCPMC13671890

What OpenQuestion holds

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Registered trials

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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.