Evidence map›Paper›PMID 30406150›Full record

ArticleJournal of diabetes research2018

Determinants of Change in Glycemic Status in Individuals with Prediabetes: Results from a Nationwide Cohort Study in Germany.

Rebecca Paprott, Christa Scheidt-Nave, Christin Heidemann

Abstract read
In one paragraph

Article in Journal of diabetes research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  4. Observational
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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

3 authors.

Rebecca PaprottDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, 12101 Berlin, Germany.ORCID 0000-0003-2919-450X
Christa Scheidt-NaveDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, 12101 Berlin, Germany.
Christin HeidemannDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, 12101 Berlin, Germany.ORCID 0000-0002-9413-2148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies investigating determinants of changes in glycemic status among individuals with prediabetes mainly focused on glucose-defined prediabetes. In this study, we examined determinants of a regression to normoglycemia or a progression to diabetes among individuals with HbA1c-defined prediabetes. The study included 817 participants (18-79 years) with prediabetes (HbA1c 5.7-6.4% (39-47 mmol/mol)) at baseline. Glycemic status at follow-up was categorized as diagnosed diabetes (self-reported physician diagnosis or antidiabetic medication), undiagnosed diabetes (HbA1c ≥ 6.5% (≥48 mmol/mol)), prediabetes (as defined at baseline), and normoglycemia (HbA1c < 5.7% (<39 mmol/mol)). Determinants of glycemic changes were identified by multinomial logistic regression (OR (95% CI)), with those remaining in the prediabetic state as reference. During a mean follow-up time of 12.0 years, 33.8% of the participants reverted to normoglycemia, 7.2% progressed to undiagnosed diabetes, 12.8% progressed to diagnosed diabetes, and 46.2% remained prediabetic. Determinants of a regression to normoglycemia were female sex (male vs. female: 0.67 (0.46; 0.98)) and higher HDL cholesterol levels (1.17 (1.02; 1.35) per 10 mg/dl). Determinants of a progression to undiagnosed or diagnosed diabetes were higher values of BMI (1.10 (1.02; 1.18); 1.13 (1.06; 1.21) per kg/m

Indexed as

AdolescentAdultAgedAge FactorsAlanine TransaminaseBlood GlucoseCohort StudiesDisease ProgressionFemalegamma-GlutamyltransferaseGermanyHumansMaleMiddle AgedPrediabetic StateSex FactorsAlanine TransaminaseBlood Glucosegamma-GlutamyltransferaseTriglycerides

Identifiers

PMID30406150
PMCPMC6204174

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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.