Evidence map›Paper›PMID 22643152›Full record

ArticleScandinavian journal of primary health care2012

How to diagnose and classify diabetes in primary health care: lessons learned from the Diabetes Register in Northern Sweden (DiabNorth).

Olov Rolandsson, Margareta Norberg, Lennarth Nyström, Stefan Söderberg, Maria Svensson, Bernt Lindahl, Lars Weinehall

Abstract readValidation Study
In one paragraph

Article in Scandinavian journal of primary health care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Systemic Sonic Hedgehog Signaling Links Intestinal Nutrient Sensing With Sex-Specific Type 2 Diabetes Progression.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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

7 authors.

Olov RolandssonDepartment of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden. olov.rolandsson@fammed.umu.se
Margareta Norberg
Lennarth Nyström
Stefan Söderberg
Maria Svensson
Bernt Lindahl
Lars Weinehall

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective was to create a diabetes register and to evaluate the validity of the clinical diabetes diagnosis and its classification.

designThe diabetes register was created by linkage of databases in primary and secondary care, the pharmaceutical database, and ongoing population-based health surveys in the county. Diagnosis and classification were validated by specialists in diabetology or general practitioners with special competence in diabetology. Analysis of autoantibodies associated with type 1 diabetes was used for classification.

settingPrimary and secondary health care in the county of Västerbotten, Sweden. PATIENTS: Patients with diabetes (median age at diagnosis 56 years, inter quartile range 50-60 years) who had participated in the Västerbotten Intervention Programme (VIP) and accepted participation in a diabetes register.

resultsOf all individuals with diabetes in VIP, 70% accepted to participate in the register. The register included 3256 (M/F 1894/1362) diabetes patients. The vast majority (95%) had data confirming the diabetes diagnoses according to WHO recommendations. Unspecified diabetes was the most common (54.6%) classification by the general practitioners. After assessment by specialists and analysis of autoantibodies the majority were classified as type 2 diabetes (76.8%). Type 1 diabetes was the second largest group (7.2%), including a sub-group of patients with latent autoimmune diabetes (4.8%).

conclusionIt was concluded that it is feasible to create a diabetes register based on information in medical records in general practice. However, special attention should be paid to the validity of the diabetes diagnosis and its classification.

Indexed as

RegistriesAgedAutoantibodiesDiabetes MellitusFeasibility StudiesFemaleHumansMaleMedical Records Systems, ComputerizedMiddle AgedPrimary Health CareSwedenAutoantibodies

Identifiers

PMID22643152
PMCPMC3378009

What OpenQuestion holds

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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.