Evidence map›Paper›PMID 38215056›Full record

Observational studyThe Journal of clinical endocrinology and metabolism2024

Phase Angle of Bioelectrical Impedance Analysis as an Indicator for Diabetic Polyneuropathy in Type 2 Diabetes Mellitus.

Lukas Schimpfle, Dimitrios Tsilingiris, Christoph M Mooshage, Zoltan Kender, Alba Sulaj, Ekatherina von Rauchhaupt, Julia Szendroedi, Stephan Herzig, Jens Goepfert, Jan Groener and 6 more

Abstract readObservational Study
In one paragraph

Observational study in The Journal of clinical endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
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  9. Review
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  12. Observational
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

16 authors.

Lukas SchimpfleDepartment for Endocrinology, Diabetology, Metabolic diseases and Clinical Chemistry, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0001-8917-7950
Dimitrios TsilingirisDepartment for Endocrinology, Diabetology, Metabolic diseases and Clinical Chemistry, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-6864-4289
Christoph M MooshageDepartment of Neuroradiology, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0003-3436-9298
Zoltan KenderDepartment for Endocrinology, Diabetology, Metabolic diseases and Clinical Chemistry, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Alba SulajDepartment for Endocrinology, Diabetology, Metabolic diseases and Clinical Chemistry, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-6051-6696
Ekatherina von RauchhauptDepartment for Endocrinology, Diabetology, Metabolic diseases and Clinical Chemistry, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Julia SzendroediDepartment for Endocrinology, Diabetology, Metabolic diseases and Clinical Chemistry, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Stephan HerzigGerman Center for Diabetes Research (DZD), 85764 Munich-Neuherberg, Germany.
Jens GoepfertNMI Natural and Medical Sciences Institute at the University of Tübingen, 72076 Tübingen, Germany.
Jan GroenerZentrum für Diabetes und Hormonerkrankungen, 67433 Neustadt an der Weinstraße, Germany.
Peter P NawrothDepartment for Endocrinology, Diabetology, Metabolic diseases and Clinical Chemistry, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Martin BendszusDepartment of Neuroradiology, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-9094-6769
Sabine HeilandDepartment of Neuroradiology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Felix T KurzDepartment of Neuroradiology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Johann M E JendeDepartment of Neuroradiology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Stefan KopfDepartment for Endocrinology, Diabetology, Metabolic diseases and Clinical Chemistry, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-6455-3769

Funding

Collaborative Research Council 1118 B05Collaborative Research Council 1158 A03Deutsches Zentrum für Diabetesforschung (DZD e.V.)
6 · The paper itself

Abstract

contextDue to the heterogenous clinical symptoms and deficits, the diagnosis of diabetic polyneuropathy (DPN) is still difficult in clinical routines, leading to increased morbidity and mortality.

objectiveWe studied the correlation of phase angle (PhA) of bioelectrical impedance analysis (BIA) with clinical, laboratory, and physical markers of DPN to evaluate PhA as a possible diagnostic method for DPN. MATERIALS AND

methodsIn this cross-sectional observational study as part of the Heidelberg Study on Diabetes and Complications, we examined 104 healthy individuals and 205 patients with type 2 diabetes mellitus (T2D), among which 63 had DPN. The PhA was calculated from multifrequency BIA. Nerve conduction studies, quantitative sensory testing (QST) and diffusion-weighted magnetic resonance neurography to determine fractional anisotropy (FA) reflecting peripheral nerve integrity were performed.

resultsT2D patients with DPN had lower PhA values (5.71 ± 0.10) compared to T2D patients without DPN (6.07 ± 0.08, P = .007, + 6.1%) and healthy controls (6.18 ± 0.08, P < .001, + 7.9%). Confounder-adjusted analyses showed correlations of the PhA with conduction velocities and amplitudes of the peroneal (β=.28; β=.31, P < .001) and tibial nerves (β=.28; β=.32, P < .001), Z-scores of QST (thermal detection β=.30, P < .05) and the FA (β=.60, P < .001). Receiver-operating characteristic analysis showed similar performance of PhA in comparison to the mentioned diagnostic methods.

conclusionThe study shows that PhA is, in comparison to other test systems used, at least an equally good and much easier to handle investigator-independent marker for detection of DPN.

Indexed as

Diabetes Mellitus, Type 2Diabetic NeuropathiesElectric ImpedanceAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeural Conductionbioelectrical impedance analysisdiabetic polyneuropathymagnetic resonance neurographynerve conduction studiesphase anglequantitative sensory testing

Identifiers

PMID38215056
PMCPMC11479692

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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.