Evidence map›Paper›PMID 38718274›Full record

ArticleInternational journal of circumpolar health2024

Living well with diabetes in Alaska.

Meera L Narayanan, Peter Holck, Ai-Ling Lin, Cynthia D Schraer

Abstract read
In one paragraph

Article in International journal of circumpolar health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Meera L NarayananDiabetes Program, Alaska Native Tribal Health Consortium Diabetes Program, Anchorage, AK, USA.
Peter HolckResearch Services, Alaska Native Tribal Health Consortium Research Services, Anchorage, AK, USA.
Ai-Ling LinDiabetes Program, Alaska Native Tribal Health Consortium Diabetes Program, Anchorage, AK, USA.
Cynthia D SchraerDiabetes Program, Alaska Native Tribal Health Consortium Diabetes Program, Anchorage, AK, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many people with diabetes mellitus experience minimal or no complications. Our objective was to determine the proportion of Alaska Native people who experienced four major complications or mortality and to identify factors that may be associated with these outcomes. We used records in a diabetes registry and clinical and demographic variables in our analyses. We used logistic regression and Cox Proportional Hazards models to evaluate associations of these parameters with death and complications that occurred prior to 2013. The study included 591 Alaska Native people with non-type 1 diabetes mellitus, diagnosed between 1986 and 1992. Over 60% of people in this study remained free of four major diabetes-related complications for the remainder of life or throughout the approximately 20-year study period. Lower BMI, higher age at diagnosis of diabetes, and use of at least one diabetes medication were associated with death and a composite of four complications. A majority of Alaska Native people with DM had none of four major complications over a 20-year period. Lower BMI and use of diabetes medications were associated with higher hazard for some deleterious outcomes. This suggests that goals in care of elders should be carefully individualised. In addition, we discuss several programme factors that we believe contributed to favourable outcomes.

Indexed as

Alaska NativesDiabetes ComplicationsDiabetes MellitusAdultAgedAge FactorsAlaskaBody Mass IndexFemaleHumansLogistic ModelsMaleMiddle AgedProportional Hazards ModelsYoung AdultAlaska Nativecomplicationsdiabeteslong-termoutcomes

Identifiers

PMID38718274
PMCPMC11080664

What OpenQuestion holds

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LicenceCC BY-NC
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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.