Evidence map›Paper›PMID 33802445›Full record

ArticleSensors (Basel, Switzerland)2021

Multimodal Sensing Capabilities for the Detection of Shunt Failure.

Milenka Gamero, Woo Seok Kim, Sungcheol Hong, Daniel Vorobiev, Clinton D Morgan, Sung Il Park

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

6 authors.

Milenka GameroDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-7466-9642
Woo Seok KimDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-3075-1847
Sungcheol HongDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Daniel VorobievDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Clinton D MorganDepartment of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA.
Sung Il ParkDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-0001-8967

Funding

Brain and Behavior Research Foundation S.ParkNational Science Foundation EEC-1648451The interdisciplinary X-Grant Program, part of the President's Excellence Fund at Texas A&M University (S.Park)
6 · The paper itself

Abstract

Hydrocephalus is a medical condition characterized by the abnormal accumulation of cerebrospinal fluid (CSF) within the cavities of the brain called ventricles. It frequently follows pediatric and adult congenital malformations, stroke, meningitis, aneurysmal rupture, brain tumors, and traumatic brain injury. CSF diversion devices, or shunts, have become the primary therapy for hydrocephalus treatment for nearly 60 years. However, routine treatment complications associated with a shunt device are infection, obstruction, and over drainage. Although some (regrettably, the minority) patients with shunts can go for years without complications, even those lucky few may potentially experience one shunt malfunction; a shunt complication can require emergency intervention. Here, we present a soft, wireless device that monitors distal terminal fluid flow and transmits measurements to a smartphone via a low-power Bluetooth communication when requested. The proposed multimodal sensing device enabled by flow sensors, for measurements of flow rate and electrodes for measurements of resistance in a fluidic chamber, allows precision measurement of CSF flow rate over a long time and under any circumstances caused by unexpected or abnormal events. A universal design compatible with any modern commercial spinal fluid shunt system would enable the widespread use of this technology.

Indexed as

Cerebrospinal Fluid ShuntsHydrocephalusAdultChildHumansProstheses and Implantsmultimodal sensorspressure and flow rateshunt device

Identifiers

PMID33802445
PMCPMC7959456

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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.