Evidence map›Paper›PMID 38997757›Full record

ArticleBMC research notes2024

Prevalence of diabetes among Indigenous women in Guatemala: a retrospective chart review.

Stephen Alajajian, Jenny Bartolimin, Yolanda Juarez Martin, Caitlin Scott, Peter Rohloff, David Flood

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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. Observational
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Stephen AlajajianCentro de Investigación en la Salud Indígena, Wuqu' Kawoq, 2da Avenida 3-48 Zona 3 Barrio Patacabaj, Tecpán, Chimaltenango, Guatemala. stephenalajajian@gmail.com.
Jenny BartoliminCentro de Investigación en la Salud Indígena, Wuqu' Kawoq, 2da Avenida 3-48 Zona 3 Barrio Patacabaj, Tecpán, Chimaltenango, Guatemala.
Yolanda Juarez MartinCentro de Investigación en la Salud Indígena, Wuqu' Kawoq, 2da Avenida 3-48 Zona 3 Barrio Patacabaj, Tecpán, Chimaltenango, Guatemala.
Caitlin ScottFriendship Bridge, 405 Urban St. Ste. 140, Lakewood, CO, USA.
Peter RohloffCentro de Investigación en la Salud Indígena, Wuqu' Kawoq, 2da Avenida 3-48 Zona 3 Barrio Patacabaj, Tecpán, Chimaltenango, Guatemala.
David FloodCentro de Investigación en la Salud Indígena, Wuqu' Kawoq, 2da Avenida 3-48 Zona 3 Barrio Patacabaj, Tecpán, Chimaltenango, Guatemala.

Funding

Implementation research for comprehensive cardiometabolic care in GuatemalaK23HL161271 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Clifford Flood · 2022 to 2026
$949k
NHLBI NIH HHS K23 HL161271U.S. National Institutes of Health (NIH) K23HL161271
6 · The paper itself

Abstract

objectiveThe objective of this study is to investigate the prevalence of diabetes in a clinical population of primarily Indigenous women in Guatemala.

resultsIn a retrospective chart review of a clinical program serving 13,643 primarily Indigenous women in Guatemala, crude diabetes prevalence was 8.3% (95% Confidence Interval [CI]: 7.8 to 8.7) and age-adjusted diabetes prevalence was 7.9% (95% CI: 7.3 to 8.5). Among those with diabetes, 37.9% (95% CI: 35.1 to 40.8) of women were undiagnosed. Diabetes prevalence rose significantly with increasing age and was significantly higher among women with obesity (risk ratio: 1.4 [95% CI: 1.1 to 1.8]) and among women least likely to be in poverty (risk ratio: 2.0 [95% CI: 1.5 to 2.6]). Diabetes prevalence was significantly lower among Indigenous women (risk ratio: 0.7 [95% CI: 0.6 to 0.9]) and among women who spoke Mayan languages rather than Spanish (risk ratio: 0.7 [95% CI: 0.6 to 0.9]). There was no significant difference in diabetes prevalence between women who lived in rural settings and women who lived in urban settings.

Indexed as

Diabetes MellitusAdolescentAdultAgedFemaleGuatemalaHumansIndigenous PeoplesMiddle AgedObesityPrevalenceRetrospective StudiesRisk FactorsRural PopulationYoung Adult

Identifiers

PMID38997757
PMCPMC11241844

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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.