Evidence map›Paper›PMID 29067252›Full record

ArticleJournal of clinical & translational endocrinology2017

Sense of Coherence is associated with LDL-cholesterol in patients with type 1 diabetes - The PROLONG-Steno study.

Kasper Olesen, Troels Mygind Jensen, Lars Jorge Diaz, Anne Cathrine Laustrup Møller, Ingrid Willaing, Valeriya Lyssenko

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical & translational endocrinology, 2017. 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
1.5field-weighted citation impact, top 14% 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, 9 citations in OpenAlex.

  1. Review
  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

6 authors at 1 institution in 3 countries.

Kasper OlesenSteno Diabetes Center A/S, Gentofte, Denmark.
Troels Mygind JensenSteno Diabetes Center A/S, Gentofte, Denmark.
Lars Jorge DiazSteno Diabetes Center A/S, Gentofte, Denmark.
Anne Cathrine Laustrup MøllerSteno Diabetes Center A/S, Gentofte, Denmark.
Ingrid WillaingSteno Diabetes Center A/S, Gentofte, Denmark.
Valeriya LyssenkoSteno Diabetes Center A/S, Gentofte, Denmark.
Steno Diabetes Center · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIt is a constant challenge for people with type 1 diabetes to maintain appropriate levels of HbA

methodsQuestionnaire data, including measure of SOC, was collected from 125 patients with long duration of type 1 diabetes and linked to electronic patient records to obtain clinical measures on HbA1c, blood pressure, and blood lipids. Linear regressions and generalized additive models were applied to explore the associations between SOC and clinical biomarkers.

resultsMean age of the participants was 60.7 years (standard deviation = 10.0), 44.0% were men. Medium and high SOC were associated with lower levels of LDL-cholesterol (p = 0.005). This association was non-linear with medium and high levels of SOC being advantageous whereas low SOC was associated with elevated levels of LDL-cholesterol. Moreover, we observed non-significant tendencies to associations between low SOC and low HDL-cholesterol, and elevated HbA

conclusionsFindings from this study suggest that high SOC may be protective against elevated LDL-cholesterol among people with type 1 diabetes. Interventions to improve self-management among people with low SOC may prove effective to prevent deterioration of metabolic risk factors.

Indexed as

Blood-lipidsDiabetes self-managementHbA1cLDL-CSense of Coherence

Identifiers

PMID29067252
PMCPMC5651341
OpenAlexW2586858709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.