Evidence map›Paper›PMID 37763086›Full record

ArticleJournal of personalized medicine2023

Implantable Intracranial Pressure Sensor with Continuous Bluetooth Transmission via Mobile Application.

Yasmeen Elsawaf, Erik Jaklitsch, Madison Belyea, Levon Rodriguez, Alexandra Silverman, Halyn Valley, Issam Koleilat, Nasser K Yaghi, Michael Jaeggli

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2023. 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
0.5field-weighted citation impact, top 36% of its field
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, 3 citations in OpenAlex.

  1. Review
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

9 authors at 4 institutions in 1 country.

Yasmeen ElsawafDepartment of Neurological Surgery, Oregon Health & Science University, Portland, OR 97201, USA.
Erik JaklitschDepartment of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA.
Madison BelyeaDepartment of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA.
Levon RodriguezDepartment of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA.
Alexandra SilvermanDepartment of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA.
Halyn ValleyDepartment of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA.
Issam KoleilatDepartment of Surgery, Community Medical Center, RWJ/Barnabas Health, Toms River, NJ 08753, USA.ORCID 0000-0001-8103-009X
Nasser K YaghiDepartment of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA.ORCID 0000-0003-0810-8502
Michael JaeggliDepartment of Biomedical Engineering, Northeastern University, Boston, MA 02115, USA.
Northeastern University · USBarrow Neurological Institute · USCommunity Medical Center · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrocephalus is a clinical disorder caused by excessive cerebrospinal fluid (CSF) buildup in the ventricles of the brain, often requiring permanent CSF diversion via an implanted shunt system. Such shunts are prone to failure over time; an ambulatory intracranial pressure (ICP) monitoring device may assist in the detection of shunt failure without an invasive diagnostic workup. Additionally, high resolution, noninvasive intracranial pressure monitoring will help in the study of diseases such as normal pressure hydrocephalus (NPH) and idiopathic intracranial hypertension (IIH). We propose an implantable, continuous, rechargeable ICP monitoring device that communicates via Bluetooth with mobile applications. The design requirements were met at the lower ICP ranges; the obtained error fell within the idealized ±2 mmHg margin when obtaining pressure values at or below 20 mmHg. The error was slightly above the specified range at higher ICPs (±10% from 20-100 mmHg). The system successfully simulates occlusions and disconnections of the proximal and distal catheters, valve failure, and simulation of A and B ICP waves. The mobile application accurately detects the ICP fluctuations that occur in these physiologic states. The presented macro-scale prototype is an ex-vivo model of an implantable, rechargeable ICP monitoring system that has the potential to measure clinically relevant ICPs and wirelessly provide accessible and continuous data to aid in the workup of shunt failure.

Indexed as

hydrocephalusintracranial pressure monitorneurosurgical innovationshunt failureventriculoperitoneal shunt

Identifiers

PMID37763086
PMCPMC10532732
OpenAlexW4386224018

What Socratic 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 Socratic graph.