Evidence map›Paper›PMID 29958293›Full record

Trial reportPloS one2018

Sociodemographic determinants and health outcome variation in individuals with type 1 diabetes mellitus: A register-based study.

Carl Willers, Hanna Iderberg, Mette Axelsen, Tobias Dahlström, Bettina Julin, Janeth Leksell, Agneta Lindberg, Peter Lindgren, Karin Looström Muth, Ann-Marie Svensson and 1 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Lung Cancer and Self-Management Interventions: A Systematic Review of Randomised Controlled Trials.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Erectile Dysfunction in Individuals with Type 1 Diabetes is Associated with Long-term Metabolic Control and Diabetic Complications: A Cross-Sectional Study.The International journal of angiology : official publication of the International College of Angiology, Inc · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. Gender in Endocrine Diseases: Role of Sex Gonadal Hormones.International journal of endocrinology · 2018
    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

11 authors.

Carl WillersDept for Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7616-9238
Hanna IderbergIvbar Institute, Stockholm, Sweden.
Mette AxelsenDepartment of Internal Medicine at Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Tobias DahlströmDepartment of Public Health and Caring Sciences, Health Services Research, Uppsala university, Uppsala, Sweden.
Bettina JulinIvbar Institute, Stockholm, Sweden.
Janeth LeksellSchool of Education, Health and Social Studies, Dalarna University, Dalarna and Clinical diabetology and metabolism, Department of medical sciences, Uppsala University, Uppsala, Sweden.
Agneta LindbergHässleholm Hospital, Hässleholm, Sweden.
Peter LindgrenMedical Management Centre, Karolinska Institutet, Stockholm, Sweden.
Karin Looström MuthDepartment of Internal Medicine, Alingsås Hospital, Alingsås, Sweden.
Ann-Marie SvenssonThe Swedish National Diabetes Register, Västra Götalandsregionen, Gothenburg, Sweden.
Mikael LiljaDepartment of Public Health and Clinical Medicine, Unit of Research, Education, and Development, Östersund Hospital, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic status, origin or demographic attributes shall not determine the quality of healthcare delivery, according to e.g. United Nations and European Union rules. Health equity has been defined as the absence of systematic disparities and unwarranted differences between groups defined by differences in social advantages. A study was performed to investigate whether this was applicable to type 1 diabetes mellitus (T1D) care in a setting with universal, tax-funded healthcare.

methodsThis retrospective registry-study was based on patient-level data from individuals diagnosed with T1D during 2010-2011 (n = 16,367) in any of seven Swedish county councils (covering ~65% of the Swedish population). Health equity in T1D care was analysed through multivariate regression analyses on absolute HbA1c level at one-year follow-up, one-year change in estimated glomerular filtration rate (eGFR) and one-year change in cardiovascular risk score, using selected sociodemographic dimensions as case-mix factors.

resultsHigher educational level was consistently associated with lower levels of HbA1c, and so was being married. Never married was associated with worse eGFR development, and lower educational level was associated with higher cardiovascular risk. Women had higher HbA1c levels than men, and glucose control was significantly worse in patients below the age of 25.

conclusionPatients' sociodemographic profile was strongly associated with absolute levels of risk factor control in T1D, but also with an increased annual deterioration in eGFR. Whether these systematic differences stem from patient-related problems or healthcare organisational shortcomings is a matter for further research. The results, though, highlight the need for intensified diabetes management education and secondary prevention directed towards T1D patients, taking sociodemographic characteristics into account.

Indexed as

Delivery of Health CareQuality of Health CareRegistriesAdultAgedDiabetes Mellitus, Type 1FemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSex FactorsSocioeconomic FactorsSweden

Identifiers

PMID29958293
PMCPMC6025867

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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.