Evidence map›Paper›PMID 33916728›Full record

ArticleJournal of clinical medicine2021

Prior Neurosurgery Decreases fMRI Estimates of Language Laterality in Patients with Gliomas within Anterior Language Sites.

Monika M Połczyńska, Bryan Ding, Bianca H Dang, Lucia Cavanagh

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2021. 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
0.1field-weighted citation impact, top 61% 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, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Monika M PołczyńskaDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0001-6246-5987
Bryan DingDepartment of Statistics, University of California, Los Angeles, CA 90095, USA.
Bianca H DangDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0003-0001-953X
Lucia CavanaghDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-4109-8169
University of California, Los Angeles · US

Funding

Comprehensive pre-surgical identification of the critical language network in tumor patientsK01DC016904 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI POLCZYNSKA, MONIKA MARIA · 2018 to 2023
$853k
NIDCD NIH HHS K01 DC016904NIDCD NIH HHS K01DC016904
6 · The paper itself

Abstract

The impact of previous surgery on the assessment of language dominance with preoperative fMRI remains inconclusive in patients with recurrent brain tumors. Samples in this retrospective study included 17 patients with prior brain surgery and 21 patients without prior surgery (38 patients total; mean age 43.2, SD = 11.9; 18 females; seven left-handed). All the patients were left language dominant, as determined clinically. The two samples were matched on 10 known confounds, including, for example, tumor laterality and location (all tumors affected Brodmann areas 44/45/47). We calculated fMRI language dominance with laterality indices using a whole-brain and region of interest approach (ROI; Broca's and Wernicke's area). Patients with prior surgery had decreased fMRI language dominance (

Indexed as

brain tumorBroca’s areafMRIgliomalanguage dominancelaterality indexprevious surgeryWernicke’s area

Identifiers

PMID33916728
PMCPMC8038372
OpenAlexW3144863191

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.