Evidence map›Paper›PMID 36154386›Full record

ReviewAnnals of medicine2022

Neurophysiology tools to lower the stroke onset to treatment time during the golden hour: microwaves, bioelectrical impedance and near infrared spectroscopy.

Lazzaro di Biase, Adriano Bonura, Maria Letizia Caminiti, Pasquale Maria Pecoraro, Vincenzo Di Lazzaro

Open access · goldAbstract readReview
In one paragraph

Review in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 1 institution in 1 country.

Lazzaro di BiaseDepartment of Medicine and Surgery, Unit of Neurology, Neurophysiology and Neurobiology, Università Campus Bio-Medico di Roma, Roma, Italy.ORCID 0000-0001-8753-757X
Adriano BonuraDepartment of Medicine and Surgery, Unit of Neurology, Neurophysiology and Neurobiology, Università Campus Bio-Medico di Roma, Roma, Italy.ORCID 0000-0002-1365-3188
Maria Letizia CaminitiDepartment of Medicine and Surgery, Unit of Neurology, Neurophysiology and Neurobiology, Università Campus Bio-Medico di Roma, Roma, Italy.ORCID 0000-0003-2854-2066
Pasquale Maria PecoraroDepartment of Medicine and Surgery, Unit of Neurology, Neurophysiology and Neurobiology, Università Campus Bio-Medico di Roma, Roma, Italy.ORCID 0000-0001-6186-8020
Vincenzo Di LazzaroDepartment of Medicine and Surgery, Unit of Neurology, Neurophysiology and Neurobiology, Università Campus Bio-Medico di Roma, Roma, Italy.ORCID 0000-0002-9113-5925
Università Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reperfusion therapy administration timing in acute ischaemic stroke is the main determinant of patients' mortality and long-term disability. Indeed, the first hour from the stroke onset is defined the "golden hour", in which the treatment has the highest efficacy and lowest side effects. Delayed ambulance transport, inappropriate triage and difficulty in accessing CT scans lead to delayed onset to treatment time (OTT) in clinical practice. To date brain CT scan is needed to rule out intracranial haemorrhage, which is a major contraindication to thrombolytic therapy. The availability, dimension and portability make CT suitable mainly for intrahospital use, determining further delays in the therapies administration. This review aims at evaluating portable neurophysiology technologies developed with the scope of speeding up the diagnostic phase of acute stroke and, therefore, the initiation of intravenous thrombolysis. Medline databases were explored for studies concerning near infrared spectroscopy (NIRS), bioelectrical impedance spectroscopy (BIS) and Microwave imaging (MWI) as methods for stroke diagnosis. A total of 1368 articles were found, and 12 of these fit with our criteria and were included in the review. For each technology, the following parameters were evaluated: diagnostic accuracy, ability to differentiate ischaemic and haemorrhagic stroke, diagnosis time from stroke onset, portability and technology readiness level (TRL). All the described methods seem to be able to identify acute stroke even though the number of studies is very limited. Low cost and portability make them potentially usable during ambulance transport, possibly leading to a reduction of stroke OTT along with the related huge benefits in terms of patients outcome and health care costs. In addition, unlike standard imaging techniques, neurophysiological techniques could allow continuous monitoring of patients for timely intrahospital stroke diagnosis.KEY MESSAGESFirst hour from the stroke onset is defined the "golden hour", in which the treatment has the highest efficacy and lowest side effects.The delay for stroke onset to brain imaging time is one of the major reasons why only a minority of patients with acute ischaemic stroke are eligible to reperfusion therapies.Neurophysiology techniques (NIRS, BIS and MWI) could have a potential high impact in reducing the time to treatment in stroke patients.

Indexed as

Brain IschemiaIschemic StrokeStrokeElectric ImpedanceFibrinolytic AgentsHumansMicrowavesNeurophysiologySpectroscopy, Near-InfraredTreatment OutcomeFibrinolytic Agentsbioelectrical impedance spectroscopygolden hourmicrowave imaging (MWI)near infrared spectroscopy (NIRS)Strokestroke onset to start of treatment timevolumetric impedance phase shift spectroscopy (VIPS)

Identifiers

PMID36154386
PMCPMC9542520
OpenAlexW4297229543

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.