Evidence map›Paper›PMID 29306356›Full record

ArticleFunctional neurology

The usefulness of sLORETA in evaluating the effect of high-dose ARA-C on brain connectivity in patients with acute myeloid leukemia: an exploratory study.

A Zarabla, S Ungania, A Cacciatore, A Maialetti, G Petreri, A Mengarelli, A Spadea, F Marchesi, D Renzi, Svitlana Gumenyuk and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Functional neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 70% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Immediate effect of neurofeedback training on the pain matrix and cortical areas involved in processing neuropsychological functions.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    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

12 authors.

A Zarabla
S Ungania
A Cacciatore
A Maialetti
G Petreri
A Mengarelli
A Spadea
F Marchesi
D Renzi
Svitlana Gumenyuk
L Strigari
Marta Maschio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytosine arabinoside (Ara-C) is one of the key drugs for treating acute myeloid leukemia (AML). High intravenous doses may produce a number of central nervous system (CNS) toxicities and contribute to modifications in brain functional connectivity. sLORETA is a software used for localizing brain electrical activity and functional connectivity. The aim of this study was to apply sLORETA in the evaluation of possible effects of Ara-C on brain connectivity in patients with AML without CNS involvement. We studied eight patients with AML; four were administered standard doses of Ara-C while the other four received high doses. sLORETA was computed from computerized EEG data before treatment and after six months of treatment. Three regions of interest, corresponding to specific combinations of Brodmann areas, were defined. In the patients receiving high-dose Ara-C, a statistically significant reduction in functional connectivity was observed in the fronto-parietal network, which literature data suggest is involved in attentional processes. Our data highlight the possibility of using novel techniques to study potential CNS toxicity of cancer therapy.

Indexed as

Brain MappingAdultAgedBrainCytarabineElectroencephalographyElectronic Data ProcessingFemaleHumansImmunosuppressive AgentsLeukemia, Myeloid, AcuteMaleMiddle AgedNeural PathwaysCytarabineImmunosuppressive Agents

Identifiers

PMID29306356
PMCPMC5762104
OpenAlexW2783193279

What OpenQuestion holds

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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.