Evidence map›Paper›PMID 37735846›Full record

ArticleAnnals of clinical and translational neurology2023

The role of quantitative markers in surgical prognostication after stereoelectroencephalography.

Julia Makhalova, Tanguy Madec, Samuel Medina Villalon, Aude Jegou, Stanislas Lagarde, Romain Carron, Didier Scavarda, Elodie Garnier, Christian G Bénar, Fabrice Bartolomei

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  10. Can brain network analyses guide epilepsy surgery?Current opinion in neurology · 2025
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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

10 authors at 4 institutions in 1 country.

Julia MakhalovaAPHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France.ORCID 0000-0001-7962-2942
Tanguy MadecAPHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France.
Samuel Medina VillalonAPHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France.
Aude JegouAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Stanislas LagardeAPHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France.ORCID 0000-0003-2916-1302
Romain CarronAPHM, Timone Hospital, Functional, and Stereotactic Neurosurgery, Marseille, France.
Didier ScavardaAPHM, Department of Pediatric Neurosurgery, Marseille, France.
Elodie GarnierAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Christian G BénarAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Fabrice BartolomeiAPHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France.ORCID 0000-0002-1678-0297
Inserm · FRAssistance Publique Hôpitaux de Marseille · FRCentre National de la Recherche Scientifique · FRHôpital de la Timone · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStereoelectroencephalography (SEEG) is the reference method in the presurgical exploration of drug-resistant focal epilepsy. However, prognosticating surgery on an individual level is difficult. A quantified estimation of the most epileptogenic regions by searching for relevant biomarkers can be proposed for this purpose. We investigated the performances of ictal (Epileptogenicity Index, EI; Connectivity EI, cEI), interictal (spikes, high-frequency oscillations, HFO [80-300 Hz]; Spikes × HFO), and combined (Spikes × EI; Spikes × cEI) biomarkers in predicting surgical outcome and searched for prognostic factors based on SEEG-signal quantification.

methodsFifty-three patients operated on following SEEG were included. We compared, using precision-recall, the epileptogenic zone quantified using different biomarkers (EZ

resultsEI and Spikes × EI showed the best precision against EZ

interpretationIctal or combined ictal-interictal markers overperformed the interictal markers both for detecting the EZ and predicting seizure freedom. Combining ictal and interictal epileptogenicity markers improves detection accuracy. Resection rates of the quantified EZ using ictal markers were the only statistically significant determinants for surgical prognosis.

Indexed as

Drug Resistant EpilepsyEpilepsyHemispherectomyBiomarkersElectroencephalographyHumansBiomarkers

Identifiers

PMID37735846
PMCPMC10646998
OpenAlexW4386944070

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.