Evidence map›Paper›PMID 38928617›Full record

ArticleBrain sciences2024

Automated Pupillometry Is Able to Discriminate Patients with Acute Stroke from Healthy Subjects: An Observational, Cross-Sectional Study.

Irene Scala, Massimo Miccoli, Pia Clara Pafundi, Pier Andrea Rizzo, Francesca Vitali, Simone Bellavia, Jacopo Di Giovanni, Francesca Colò, Giacomo Della Marca, Valeria Guglielmi and 6 more

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Irene ScalaDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.ORCID 0000-0003-2370-840X
Massimo MiccoliDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.ORCID 0009-0002-9301-2520
Pia Clara PafundiFacility of Epidemiology and Biostatistics, Gemelli Generator, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Pier Andrea RizzoDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.
Francesca VitaliDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.
Simone BellaviaDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.
Jacopo Di GiovanniDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.
Francesca ColòDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.
Giacomo Della MarcaDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.ORCID 0000-0001-6914-799X
Valeria GuglielmiDipartimento di Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Valerio BrunettiDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.
Aldobrando BroccoliniDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.ORCID 0000-0001-8295-9271
Riccardo Di IorioDipartimento di Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Mauro MonforteDipartimento di Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Paolo CalabresiDepartment of Neuroscience, Catholic University of Sacred Heart, 00168 Rome, Italy.
Giovanni FrisulloDipartimento di Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-1604-6594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutomated pupillometry (AP) is a handheld, non-invasive tool that is able to assess pupillary light reflex dynamics and is useful for the detection of intracranial hypertension. Limited evidence is available on acute ischemic stroke (AIS) patients. The primary objective was to evaluate the ability of AP to discriminate AIS patients from healthy subjects (HS). Secondly, we aimed to compute a predictive score for AIS diagnosis based on clinical, demographic, and AP variables.

methodsWe included 200 consecutive patients admitted to a comprehensive stroke center who underwent AP assessment through NPi-200 (NeurOptics

resultsA high percentage of pupil constriction (CH,

conclusionsThe results of our study suggest that AP parameters, and in particular, those concerning pupillary constriction, may be useful for the early diagnosis of AIS.

Indexed as

acute strokeautomated pupillometryconstriction velocityNeurOpticsNPipupillary light reflex

Identifiers

PMID38928617
PMCPMC11202086

What Socratic 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 Socratic graph.