Evidence map›Paper›PMID 42331575›Full record

Observational studyBMJ open2026

Diagnostic yield of electroencephalographyin the emergency department: protocol for the EMINENCE-M multicentre retrospective observational study.

Maenia Scarpino, Benedetta Piccardi, Andrea Nencioni, Peiman Nazerian, Federica Lettieri, Enrico Grassi, Ester Marra, Andrea Mannini, Antonio Maiorelli, Piergiuseppe Liuzzi and 2 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Maenia ScarpinoNeurophysiopathology Unit, Careggi University Hospital, Florence, Italy.
Benedetta PiccardiStroke Unit, Careggi University Hospital, Florence, Italy.
Andrea NencioniEmergency Department, Careggi University Hospital, Florence, Italy.
Peiman NazerianEmergency Department, Careggi University Hospital, Florence, Italy.
Federica LettieriAzienda USL Toscana Centro, Ospedale San Jacopo, Pistoia, Italy.
Enrico GrassiAzienda USL Toscana Centro, Ospedale Santo Stefano, Prato, Italy.
Ester MarraIRCCS Fondazione Don Carlo Gnocchi ETS, Florence, Italy.ORCID http://orcid.org/0009-0002-2035-0078
Andrea ManniniIRCCS Fondazione Don Carlo Gnocchi ETS, Florence, Italy.
Antonio MaiorelliNeurophysiopathology Unit, Careggi University Hospital, Florence, Italy.
Piergiuseppe LiuzziIRCCS Fondazione Don Carlo Gnocchi ETS, Florence, Italy liuzzi.piergiuseppe@gmail.com.
Antonello GrippoNeurophysiopathology Unit, Careggi University Hospital, Florence, Italy.
The Eminence Study GroupEmergency Department, Careggi University Hospital, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEmergency EEG (emEEG) is increasingly used in the emergency department (ED), but its diagnostic yield remains uncertain. This protocol describes a multicentre observational study aiming to evaluate emEEG findings and their relationship with diagnostic pathways and therapeutic management of patients admitted to the ED. METHODS AND ANALYSIS: This multicentre retrospective study will analyse emEEGs performed on patients admitted to the ED of some Italian teaching and community hospitals over a 1-year period with a target sample size of 3850 patients. The diagnostic yield of emEEG will be evaluated by assessing abnormal and epileptiform findings and the relationship between emEEG findings and subsequent clinical decisions, including confirmation or revision of the initial diagnostic suspicion, decisions regarding home discharge or hospitalisation and medication changes. EEG will be classified according to the terminology of the American Clinical Neurophysiology Society. Clinical and instrumental data will be respectively reviewed by emergency physicians and neurologists/neurophysiologists. In particular, via traditional biostatistics and interpretable machine learning models, the study will evaluate the diagnostic yield of emEEG and its association with subsequent clinical management across defined clinical scenarios in the ED. ETHICS AND DISSEMINATION: This first large-scale multicentre protocol will provide valuable insights for emergency department (ED) clinicians in selecting appropriate candidates for an emergency EEG (emEEG), supporting ethically sound, proportionate use of this resource in a time- and risk-critical setting. By clarifying diagnostic yield and its relationship with subsequent clinical decisions, the study is expected to generate robust evidence to guide emEEG ordering, reduce unnecessary testing and delays, and promote safer, more equitable decision-making (including appropriate home discharge) while minimising potential harms from misdiagnosis or overtreatment. The study has been approved by the Ethics Committee Regione Toscana - Area Vasta Centro (n. 27241). Findings will be disseminated through peer-reviewed publications, conference presentations and engagement with relevant clinical societies to inform international recommendations and facilitate translation into ED practice. Furthermore, developed models will be made openly available for external and public validation.

Indexed as

ElectroencephalographyEmergency Service, HospitalEmergency Room VisitsHumansItalyResearch DesignRetrospective StudiesDiagnostic-therapeutic pathwayEmergency DepartmentEmergent EEG

Identifiers

PMID42331575
PMCPMC13288865

What OpenQuestion holds

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LicenceCC BY-NC
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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.