Evidence map›Paper›PMID 38033718›Full record

ReviewWorld neurosurgery: X2024

SmartWear body sensors for neurological and neurosurgical patients: A review of current and future technologies.

Nithin Gupta, Varun Kasula, Praveen Sanmugananthan, Nicholas Panico, Aimee H Dubin, David Aw Sykes, Randy S D'Amico

Open access · goldAbstract readReview
In one paragraph

Review in World neurosurgery: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

7 authors at 5 institutions in 1 country.

Nithin GuptaCampbell University School of Osteopathic Medicine, Lillington, NC, USA.
Varun KasulaCampbell University School of Osteopathic Medicine, Lillington, NC, USA.
Praveen SanmugananthanKansas City University College of Osteopathic Medicine, Kansas City, MO, USA.
Nicholas PanicoLake Erie College of Osteopathic Medicine, Erie, PA, USA.
Aimee H DubinCampbell University School of Osteopathic Medicine, Lillington, NC, USA.
David Aw SykesDepartment of Neurosurgery, Duke University Medical School, Durham, NC, USA.
Randy S D'AmicoLenox Hill Hospital, Department of Neurosurgery, New York, NY, USA.
Campbell University · USDuke University · USKansas City University · USLake Erie College of Osteopathic Medicine · USLenox Hill Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objective: Recent technological advances have allowed for the development of smart wearable devices (SmartWear) which can be used to monitor various aspects of patient healthcare. These devices provide clinicians with continuous biometric data collection for patients in both inpatient and outpatient settings. Although these devices have been widely used in fields such as cardiology and orthopedics, their use in the field of neurosurgery and neurology remains in its infancy. Methods: A comprehensive literature search for the current and future applications of SmartWear devices in the above conditions was conducted, focusing on outpatient monitoring. Findings: Through the integration of sensors which measure parameters such as physical activity, hemodynamic variables, and electrical conductivity - these devices have been applied to patient populations such as those at risk for stroke, suffering from epilepsy, with neurodegenerative disease, with spinal cord injury and/or recovering from neurosurgical procedures. Further, these devices are being tested in various clinical trials and there is a demonstrated interest in the development of new technologies. Conclusion: This review provides an in-depth evaluation of the use of SmartWear in selected neurological diseases and neurosurgical applications. It is clear that these devices have demonstrated efficacy in a variety of neurological and neurosurgical applications, however challenges such as data privacy and management must be addressed.

Indexed as

Body sensorsContinuous monitoringEpilepsyNeurodegenerative diseaseNeurosurgical outcomesStrokeWearable technology

Identifiers

PMID38033718
PMCPMC10682285
OpenAlexW4388348354

What OpenQuestion 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 OpenQuestion graph.