Evidence map›Paper›PMID 41195203›Full record

ArticleFrontiers in endocrinology2025

The ProCVT smart-sheet as a new screening tool for cardiovascular autonomic neuropathy: a feasibility study.

Maria Bitsch Poulsen, Peter Julu, Johan Røikjer, Asbjørn Mohr Drewes, Christina Brock

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Maria Bitsch PoulsenMech-Sense, Department of Gastroenterology, Aalborg University Hospital, Aalborg, Denmark.
Peter JuluWilliam Harvey Heart Centre, Queen Mary University of London, London, United Kingdom.
Johan RøikjerDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Asbjørn Mohr DrewesMech-Sense, Department of Gastroenterology, Aalborg University Hospital, Aalborg, Denmark.
Christina BrockMech-Sense, Department of Gastroenterology, Aalborg University Hospital, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cardiovascular autonomic neuropathy (CAN) is a severe complication of diabetes that impairs the regulation of the cardiovascular system. This can cause hemodynamic instability, arrhythmias, and silent ischemia. Despite its clinical significance, routine testing is not widely implemented. Therefore, this study investigated the performance of a novel screening tool, the Methods: Forty individuals with T2D (aged 45-75) with varying degrees of CAN and 20 age-matched controls were included in this cross-sectional study. Autonomic profiling included cardiovascular autonomic reflex tests, short-term CVT, 72-hour blood pressure monitoring, and three nights of home monitoring with the Results: A total of 164 recordings were obtained, with an average of 93% of each recording classified as very high signal quality before artifact removal. Short- and long-term mean CVT were the best-performing parameters, identifying any and manifest CAN with AUCs of 0.64-0.79. Suggested cut-offs were 2.7 linear vagal scale (LVS) units for short-term and 5.0 LVS for long-term recordings. Conclusion: The

Indexed as

Autonomic Nervous System DiseasesCardiovascular DiseasesDiabetes Mellitus, Type 2Diabetic NeuropathiesElectrocardiographyMass ScreeningAgedCase-Control StudiesCross-Sectional StudiesFeasibility StudiesFemaleHumansMaleMiddle Agedcardiac vagal tonecardiovascular autonomic neuropathyECGparasympathetic nervous systemtype 2 diabetes

Identifiers

PMID41195203
PMCPMC12583026

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.