ArticleClinical epidemiology2021
The Danish Diabetes Musculoskeletal Cohort: Non-Responder Analysis of an Electronic Survey Using Registry Data.
Article in Clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed, 6 citations in OpenAlex.
- Prevalence and consequences of spinal pain among people with type 1 and type 2 diabetes mellitus in Denmark.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023Article
- Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo conduct a non-responder analysis on a musculoskeletal (MSK) electronic questionnaire.
methodsIndividuals aged 18 years and older, diagnosed with diabetes mellitus (DM), and attended an ambulatory DM clinic formed the sample frame. They were invited to complete an electronic musculoskeletal (MSK) conditions and symptoms questionnaire booklet using a secured electronic email system. Individuals whose secured email box was not active at the time were discarded. Using the Central Person Registry number, a unique number assigned to all Danish residents, we linked the sample frame to different registries to learn more about non-responders. Non-responders were either individuals who did not respond to a single question and those who responded "No" to the first question about willing to participate. We calculated descriptive statistics for each characteristic. Univariate logistic regression models were conducted to determine the relationship between each characteristic and non-responder status.
resultsThe response rate was 36% (n = 3812). Individuals with type 2 DM (OR 2.0 (95% CI 1.8-2.2)), secondary DM (1.9 (1.3-2.8)) or unspecified DM (2.1 (1.8-2.4)) were more likely to be non-responders than individuals with Type 1 DM. Also, individuals aged 70-79 (1.3 (1.1-1.6)) and 80 years and older (5.9 (4.5-7.7)) were more likely to be non-responders than 18-29 years old individuals. However, individuals aged 40-49 (1.5 (1.2-1.8)), 50-59 (1.5 (1.3-1.8)) or 60-69 (1.4 (1.1-1.6)) were more likely to be responders than 18-29 years old individuals. Individuals with Charlson Comorbidity Index (CCI) of 1 (2.0 (1.3.2.9) or CCI of 2 (1.7 (1.1-2.5) were more likely to be responders than individuals with a CCI of 0. Lastly, individuals who were currently outside of the workforce (1.6 (2.4-2.9) or had unknown/missing socioeconomic status (3.9 (2.8-5.3) were more likely to be non-responders than individuals who were working.
conclusionAlthough we did find a non-response bias, this cohort will be an important source to determine the prevalence and consequences of MSK conditions in a secondary care DM population.
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