Evidence map›Paper›PMID 25645749›Full record

ArticleCardiovascular diabetology2015

Treatment-dependent and treatment-independent risk factors associated with the risk of diabetes-related events: a retrospective analysis based on 229,042 patients with type 2 diabetes mellitus.

Thomas Wilke, Sabrina Mueller, Antje Groth, Andreas Fuchs, Lisa Seitz, Joachim Kienhöfer, Ulf Maywald, Rainer Lundershausen, Martin Wehling

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
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  6. The Beige Adipocyte as a Therapy for Metabolic Diseases.International journal of molecular sciences · 2019
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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

9 authors.

Thomas WilkeIPAM, University of Wismar, Philipp-Müller-Str. 12, 23966, Wismar, Germany. thomas.wilke@ipam-wismar.de.
Sabrina MuellerIPAM, University of Wismar, Philipp-Müller-Str. 12, 23966, Wismar, Germany. sabrina.mueller@ipam-wismar.de.
Antje GrothIPAM, University of Wismar, Philipp-Müller-Str. 12, 23966, Wismar, Germany. antje.groth@ipam-wismar.de.
Andreas FuchsAOK PLUS, Sternplatz 7, 01067, Dresden, Germany. andreas.fuchs@plus.aok.de.
Lisa SeitzNovo Nordisk Pharma GmbH, Brucknerstraße 1, 55127, Mainz, Germany. lsiz@novonordisk.com.
Joachim KienhöferNovo Nordisk Pharma GmbH, Brucknerstraße 1, 55127, Mainz, Germany. jkie@novonordisk.com.
Ulf MaywaldAOK PLUS, Sternplatz 7, 01067, Dresden, Germany. ulfdr.maywald@plus.aok.de.
Rainer LundershausenDiabetes Centre Erfurt/Bad Berka, Thälmannstraße 25, 99085, Erfurt, Germany. r.lundershausen@gmx.de.
Martin WehlingClinical Pharmacology, Mannheim/Center for Gerontopharmacology, Medical Faculty Mannheim, University of Heidelberg, Maybachstr. 14, 68169, Mannheim, Germany. martin.wehling@medma.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to analyse which factors predict the real-world macro-/microvascular event, hospitalisation and death risk in patients with type 2 diabetes mellitus. Furthermore, we aimed to investigate whether there exists both an under- and over-treatment risk of these patients.

methodsWe used a German claims/clinical data set covering the years 2010-12. Diabetes-related events were defined as (1) macro-, (2) microvascular events leading to inpatient hospitalisation, (3) other hospitalisations with type 2 diabetes mellitus as main diagnosis, (4) all-cause death and (5) a composite outcome including all event categories 1-4. Factors associated with event risk were analysed by a Kaplan-Meier curve analysis and by multivariable Cox regression models.

results229,042 patients with type 2 diabetes mellitus (mean age 70.2 years; mean CCI 6.03) were included. Among factors that increased the event risk were patients' age, male gender, the adapted Charlson Comorbidity Index, the adapted Diabetes Complication Severity Index, previous events, and number of prescribed chronic medications. For systolic blood pressure/HbA1C, a double-J/U-curve pattern was detected: HbA1C of 6-6.5% (42-48 mmol/mol) and systolic blood pressure of 130-140 mmHg (17.3-18.7kPa) were associated with the lowest event risk, values below/above that range were associated with higher risk. However, this pattern was mainly driven by the death risk and was much less clearly observed for the macrovascular/microvascular/hospitalization risk and for young/less comorbid patients.

conclusionsBoth blood pressure and HbA1C seem to be very important treatment targets, especially in comorbid old patients. It is of particular clinical importance that both over- and under-treatment pose a threat to patients with type 2 diabetes mellitus.

Indexed as

AgedAged, 80 and overDatabases, FactualDiabetes Mellitus, Type 2FemaleHospitalizationHumansHypoglycemic AgentsMaleMiddle AgedRetrospective StudiesRisk FactorsTreatment OutcomeHypoglycemic Agents

Identifiers

PMID25645749
PMCPMC4343042

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.