ArticleJournal of translational internal medicine2025
An automated human-machine interaction system enhances standardization, accuracy and efficiency in cardiovascular autonomic evaluation: A multicenter, open-label, paired design study.
Article in Journal of translational internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- An index system for evaluating the data security in trauma centers: a modified Delphi study in China.Journal of translational internal medicine · 2026Article
- Mental vulnerability, family dysfunction, and digital exposure: Overlooked burdens in populations with noncommunicable chronic diseases.World journal of psychiatry · 2025Article
- Association between metabolic dysfunction-associated fatty liver disease and cardiovascular autonomic neuropathy in type 2 diabetes.Frontiers in endocrinology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objectives: The conventional diagnostic process for cardiovascular autonomic neuropathy (CAN) is often time-consuming and lacks standardization. The Cardiovascular Autonomic Nervous Function Multi-Parameter Evaluation System is the first intelligent device designed for CAN diagnosis, featuring wireless wearable modules and human‒computer interaction. This study aims to evaluate the accuracy and eficiency of the novel device. Methods: A two-part, paired-design multicenter study involving a total of 200 subjects (122 with diabetes) from three centers was conducted. Cardiovascular autonomic reflex tests (CARTs) and 5-min heart rate variability (HRV) analyses were performed via the study device. Concurrent manual measurements with physician diagnoses and nonstandardized conventional methods served as controls in Part I and Part II, respectively. Methods: In Part I, the study device diagnosed 19.3% (29/150) of the subjects with CAN, demonstrating 96.6% sensitivity and 100% specificity. There was excellent agreement with the physician's CAN diagnosis for CARTs (Cohen's kappa of 0.979, Conclusions: The proposed system provides eficient and standardized testing with excellent accuracy and reproducibility for CAN assessment. This novel device will facilitate the evaluation of therapeutic efficacy and promote streamlined clinical workflows.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.