Evidence map›Paper›PMID 39242511›Full record

ArticleNature communications2024

Wearable bio-adhesive metal detector array (BioMDA) for spinal implants.

Jian Li, Shengxin Jia, Dengfeng Li, Lung Chow, Qiang Zhang, Yiyuan Yang, Xiao Bai, Qingao Qu, Yuyu Gao, Zhiyuan Li and 22 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. 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

32 authors.

Jian Li *Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-9768-0932
Shengxin Jia *Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6998-3872
Dengfeng LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China. dengfli2-c@my.cityu.edu.hk.ORCID 0000-0002-8875-6974
Lung ChowDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Qiang ZhangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-2707-0258
Yiyuan YangDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Xiao BaiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Qingao QuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Yuyu GaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Zhiyuan LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Zongze LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Rui ShiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Binbin ZhangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Ya HuangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-0965-8226
Xinyu PanDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Yue HuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Zhan GaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Jingkun ZhouDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0001-5394-4388
WooYoung ParkDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0003-2250-3613
Xingcan HuangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0003-4210-2470
Hongwei ChuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Zhenlin ChenDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0003-2100-1363
Hu LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Pengcheng WuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-7990-4234
Guangyao ZhaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Kuanming YaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0001-8744-8892
Muhamed HadzipasicDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School Boston, Massachusetts, USA.
Joshua D BernstockDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ganesh M ShankarDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School Boston, Massachusetts, USA. gshankar@mgh.harvard.edu.ORCID 0009-0006-5203-8619
Kewang NanCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China. knan@zju.edu.cn.ORCID 0000-0002-2745-0656
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China. xingeyu@cityu.edu.hk.ORCID 0000-0003-0522-1171
Giovanni TraversoDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. cgt20@mit.edu.ORCID 0000-0001-7851-4077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic tracking of spinal instrumentation could facilitate real-time evaluation of hardware integrity and in so doing alert patients/clinicians of potential failure(s). Critically, no method yet exists to continually monitor the integrity of spinal hardware and by proxy the process of spinal arthrodesis; as such hardware failures are often not appreciated until clinical symptoms manifest. Accordingly, herein, we report on the development and engineering of a bio-adhesive metal detector array (BioMDA), a potential wearable solution for real-time, non-invasive positional analyses of osseous implants within the spine. The electromagnetic coupling mechanism and intimate interfacial adhesion enable the precise sensing of the metallic implants position without the use of radiation. The customized decoupling models developed facilitate the precise determination of the horizontal and vertical positions of the implants with incredible levels of accuracy (e.g., <0.5 mm). These data support the potential use of BioMDA in real-time/dynamic postoperative monitoring of spinal implants.

Indexed as

MetalsProstheses and ImplantsSpineWearable Electronic DevicesAdhesivesHumansSpinal FusionAdhesivesMetals

Identifiers

PMID39242511
PMCPMC11379874

What OpenQuestion holds

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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.