Evidence map›Paper›PMID 28402800›Full record

ArticleHealth promotion and chronic disease prevention in Canada : research, policy and practice2017

Assessment of dysglycemia risk in the Kitikmeot region of Nunavut: using the CANRISK tool.

Ying Jiang, Susan Rogers Van Katwyk, Yang Mao, Heather Orpana, Gina Argwal, Margaret de Groh, Monique Skinner, Robyn Clarke, Howard Morrison

Open access · diamondAbstract read
In one paragraph

Article in Health promotion and chronic disease prevention in Canada : research, policy and practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
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 3 institutions in 1 country.

Ying JiangPublic Health Agency of Canada, Ottawa, Ontario, Canada.
Susan Rogers Van KatwykPublic Health Agency of Canada, Ottawa, Ontario, Canada.
Yang MaoPublic Health Agency of Canada, Ottawa, Ontario, Canada.
Heather OrpanaPublic Health Agency of Canada, Ottawa, Ontario, Canada.
Gina ArgwalDepartment of Family Medicine, McMaster University, Hamilton, Ontario, Canada.
Margaret de GrohPublic Health Agency of Canada, Ottawa, Ontario, Canada.
Monique SkinnerKitikmeot Region Health and Social Services, Cambridge Bay, Nunavut, Canada.
Robyn ClarkeKitikmeot Region Health and Social Services, Cambridge Bay, Nunavut, Canada.
Howard MorrisonPublic Health Agency of Canada, Ottawa, Ontario, Canada.
Public Health Agency of Canada · CAUniversity of Ottawa · CAMcMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Public Health Agency of Canada adapted a Finnish diabetes screening tool (FINDRISC) to create a tool (CANRISK) tailored to Canada's multi-ethnic population. CANRISK was developed using data collected in seven Canadian provinces. In an effort to extend the applicability of CANRISK to northern territorial populations, we completed a study with the mainly Inuit population in the Kitikmeot region of Nunavut.

methodsWe obtained CANRISK questionnaires, physical measures and blood samples from participants in five Nunavut communities in Kitikmeot. We used logistic regression to test model fit using the original CANRISK risk factors for dysglycemia (prediabetes and diabetes). Dysglycemia was assessed using fasting plasma glucose (FPG) alone and/or oral glucose tolerance test. We generated participants' CANRISK scores to test the functioning of this tool in the Inuit population.

resultsA total of 303 individuals participated in the study. Half were aged less than 45 years, two-thirds were female and 84% were Inuit. A total of 18% had prediabetes, and an additional 4% had undiagnosed diabetes. The odds of having dysglycemia rose exponentially with age, while the relationship with BMI was U-shaped. Compared with lab test results, using a cut-off point of 32 the CANRISK tool achieved a sensitivity of 61%, a specificity of 66%, a positive predictive value of 34% and an accuracy rate of 65%.

conclusionThe CANRISK tool achieved a similar accuracy in detecting dysglycemia in this mainly Inuit population as it did in a multi-ethnic sample of Canadians. We found the CANRISK tool to be adaptable to the Kitikmeot region, and more generally to Nunavut.

Indexed as

InuitAdultAgedAge FactorsBody Mass IndexDiabetes Mellitus, Type 2FemaleHealth SurveysHumansMaleMiddle AgedNunavutObesityPrediabetic StateRisk AssessmentSensitivity and SpecificityCANRISKdiabetesdysglycemiaInuitNunavutprediabetes

Identifiers

PMID28402800
PMCPMC5576909
OpenAlexW2606335171

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.