Evidence map›Paper›PMID 41833991›Full record

ArticleNature communications2026

Wireless, non-invasive, high-resolution thrill sensor for continuous vascular access monitoring of hemodialysis patients.

Yicong Wang, Jie Wang, Yuqi Tian, Zhiheng Xu, Mengyao Liu, Lin Zhou, Renhua Lv, Yujun Deng, Jinyun Tan, Linfa Peng and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Yicong Wang *Shanghai Key Laboratory of Digital Manufacture for Thin-Walled Structures, Shanghai Jiao Tong University, Shanghai, PR China.ORCID http://orcid.org/0009-0006-7311-9901
Jie Wang *Department of Vascular Surgery, Shanghai Pudong Hospital, Fudan University, Shanghai, PR China.
Yuqi TianShanghai Key Laboratory of Digital Manufacture for Thin-Walled Structures, Shanghai Jiao Tong University, Shanghai, PR China.ORCID http://orcid.org/0009-0001-9411-5217
Zhiheng XuDepartment of Vascular Surgery, Huashan Hospital, Fudan University, Shanghai, PR China.
Mengyao LiuShanghai Key Laboratory of Digital Manufacture for Thin-Walled Structures, Shanghai Jiao Tong University, Shanghai, PR China.
Lin ZhouDepartment of Vascular Surgery, Huashan Hospital, Fudan University, Shanghai, PR China.
Renhua LvDepartment of Ultrasound Medicine, Huashan Hospital, Fudan University, Shanghai, PR China.
Yujun DengShanghai Key Laboratory of Digital Manufacture for Thin-Walled Structures, Shanghai Jiao Tong University, Shanghai, PR China. yjdeng@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-6468-331X
Jinyun TanDepartment of Vascular Surgery, Huashan Hospital, Fudan University, Shanghai, PR China. m.tan@fudan.edu.cn.ORCID http://orcid.org/0000-0002-8936-1616
Linfa PengShanghai Key Laboratory of Digital Manufacture for Thin-Walled Structures, Shanghai Jiao Tong University, Shanghai, PR China.
Zhongqin LinShanghai Key Laboratory of Digital Manufacture for Thin-Walled Structures, Shanghai Jiao Tong University, Shanghai, PR China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52371249National Natural Science Foundation of China (National Science Foundation of China) 52522508Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 23ZR1428600
6 · The paper itself

Abstract

Hemodialysis is the primary life-sustaining therapy for patients with end-stage renal disease (ESRD). Diagnosing and monitoring the health condition of vascular access (VA) for hemodialysis involves the use of ultrasonic imaging and angiography. These infrequent tests cannot, however, identify signs of mild stenosis and sudden onset to facilitate early intervention. Hence, approximately 70% of hemodialysis patients experience VA failure each year, rendering dialysis difficult and posing life-threatening risks. Here, we report wireless, non-invasive thrill sensors incorporating high-resolution accelerometers designed to be conformally placed on VA skin for the continuous monitoring of VA thrill signals, which we tested in multi-platform validation including an in vitro benchtop system, canine models and patients (n = 9). Local measurements of VA thrill intensity via continuous wear demonstrated that a decrease in thrill intensity along the entire VA region is indicative of diminished VA function, while an abnormally heightened thrill intensity at a certain location along the VA indicates localized structural lesions. These thrill sensors may aid the early treatment of VA stenosis upon the transition from subjective thrill palpation to quantitative hemodynamic phenotyping.

Indexed as

Kidney Failure, ChronicRenal DialysisVascular Access DevicesWireless TechnologyAnimalsDogsHumansMonitoring, Physiologic

Identifiers

PMID41833991
PMCPMC13136436

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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.