Evidence map›Paper›PMID 35377547›Full record

ArticleBrain and behavior2022

Presurgical cognitive status in patients with low-grade glioma and epilepsy: Testing the effects of seizures, antiseizure medications, and tumor localization.

Ilaria Guarracino, Giada Pauletto, Tamara Ius, Francesca Palese, Miran Skrap, Barbara Tomasino

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. What is the cognitive footprint of insular glioma?Frontiers in human neuroscience · 2024
    Review
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  6. Article
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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

6 authors at 1 institution in 1 country.

Ilaria GuarracinoPolo FVG, San Vito al Tagliamento, PN, Scientific Institute IRCCS "Eugenio Medea,", Italy.
Giada PaulettoUnità Operativa di Neurologia, Azienda Sanitaria Universitaria del Friuli Centrale, Udine, Italy.
Tamara IusUnità Operativa di Neurochirurgia, Azienda Sanitaria Universitaria del Friuli Centrale, Udine, Italy.
Francesca PaleseServizio di Igiene e Sanità Pubblica Dipartimento di Prevenzione, San Daniele del Friuli, Azienda Sanitaria Universitaria del Friuli Centrale, Udine, Italy.ORCID 0000-0001-7119-4445
Miran SkrapUnità Operativa di Neurochirurgia, Azienda Sanitaria Universitaria del Friuli Centrale, Udine, Italy.
Barbara TomasinoPolo FVG, San Vito al Tagliamento, PN, Scientific Institute IRCCS "Eugenio Medea,", Italy.
IRCCS Eugenio Medea · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow-grade gliomas (LGGs) are frequently associated with epilepsy. There are few studies addressing the impact of seizures, antiseizure medications (ASMs), and lesion localization on presurgery cognitive functioning.

methodsWe tested the relation between the above-mentioned variables in a continuous series of 73 young patients (mean age 38.3 years ± 11.7) affected by LGGs and epilepsy. The anatomical areas, involved in this sample, were the left insula with surrounding cortical and subcortical areas, the right precentral gyrus/rolandic operculum, and the white matter and cortical regions beneath.

resultsPatients' presurgery cognitive status was within the normal range, with borderline performance for some tasks. We tested whether lower scores were related with lesion or with epilepsy-related factors. Multiple regression identified variables that predict test scores. The Token test score was predicted by a model (p = .0078) containing the DT2T1 MRI, corrected for seizure features. Object naming performance was predicted by a model (p = .0113) containing the localization, the DT2T1 MRI, corrected for sex, EEG, and onset. Verbal fluency score was predicted by a model (p = .0056) containing the localization and the DT2T1 MRI, corrected for AEDs and EEG. Working memory score was predicted by a model (p = .0117) containing Engel class, the DT2T1 MRI, corrected for sex. Clock drawing score was predicted by a model (p < .0001) containing the Engel class, AEDs, and EEG. TMT A score was predicted by a model (p = .0022) containing localization, corrected for EEG. TMT B-A score was predicted by a model (p = .0373) containing localization. Voxel Lesion Symptom Mapping analyses carried out on patients' lesion volumes confirmed that patients' level of performance correlated with lesion-related variables.

conclusionThis preliminary study indicates that the presurgical level of performance for language tasks and for cognitive flexibility and shifting is mainly predicted by lesion-related variables, working memory by both lesion and epilepsy-related variables. Epilepsy clinical and instrumental characteristics predicted performance for visuospatial planning.

Indexed as

Brain NeoplasmsEpilepsyGliomaAdultCognitionHumansMagnetic Resonance ImagingSeizuresepilepsygliomaneuropsychologytumor-related epilepsyvoxel-based lesion-symptom mapping

Identifiers

PMID35377547
PMCPMC9120733
OpenAlexW4224059968

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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 OpenQuestion graph.