Evidence map›Paper›PMID 38669700›Full record

ArticleJournal of neurosurgery2024

Longitudinal brain volumetrics in glioma survivors.

Andrew M McDonald, Donna L Murdaugh, Katherine A Heinzman, Rex A Cardan, Jessica Jacob, John B Fiveash, L Burt Nabors, Courtney A Cooper, John M Hoyle, Desmin Milner and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neurosurgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

11 authors at 2 institutions in 1 country.

Andrew M McDonaldDepartments of1Radiation Oncology.
Donna L Murdaugh2Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham; and.
Katherine A HeinzmanDepartments of1Radiation Oncology.
Rex A CardanDepartments of1Radiation Oncology.
Jessica Jacob4University of Alabama at Birmingham, Alabama.
John B FiveashDepartments of1Radiation Oncology.
L Burt Nabors5Neurology, and.
Courtney A CooperDepartments of1Radiation Oncology.
John M HoyleDepartments of1Radiation Oncology.
Desmin Milner6Radiology, University of Alabama at Birmingham.
Carlos E CardenasDepartments of1Radiation Oncology.
University of Alabama at Birmingham · USNeurology, Inc · US

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
Longitudinal study of cognitive remediation to prepare for transition of care in youth with sickle cell diseaseK23MD017288 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Donna Murdaugh · 2022 to 2026
$573k
NCI NIH HHS P30 CA013148NIMHD NIH HHS K23 MD017288
6 · The paper itself

Abstract

objectiveRadiation therapy (RT) is used selectively for patients with low-grade glioma (LGG) given the concerns for potential cognitive effects in survivors, but prior cognitive outcome studies among LGG survivors have had inconsistent findings. Translational studies that characterize changes in brain anatomy and physiology after treatment of LGG may help to both contextualize cognitive findings and improve the overall understanding of radiation effects in normal brain tissue. This study aimed to investigate the hypothesis that patients with LGG who are treated with RT will experience greater brain volume loss than those who do not receive RT.

methodsThis retrospective longitudinal study included all patients with WHO grade 2 glioma who received posttreatment surveillance MRI at the University of Alabama at Birmingham. Volumetric analysis of contralateral cortical white matter (WM), cortical gray matter (GM), and hippocampus was performed on all posttreatment T1-weighted MRI sequences using the SynthSeg script. The effect of clinical and treatment variables on brain volumes was assessed using two-level hierarchical linear models.

resultsThe final study cohort consisted of 105 patients with 1974 time points analyzed. The median length of imaging follow-up was 4.6 years (range 0.36-18.9 years), and the median number of time points analyzed per patient was 12 (range 2-40). Resection was performed in 79 (75.2%) patients, RT was administered to 61 (58.1%) patients, and chemotherapy was administered to 66 (62.9%) patients. Age at diagnosis (β = -0.06, p < 0.001) and use of RT (β = -1.12, p = 0.002) were associated with the slope of the contralateral cortical GM volume model (i.e., change in GM over time). Age at diagnosis (β = -0.08, p < 0.001), midline involvement (β = 1.31, p = 0.006), and use of RT (β = -1.45, p = 0.001) were associated with slope of the contralateral cortical WM volume model. Age (β = -0.0027, p = 0.001), tumor resection (β = -0.069, p < 0.001), use of chemotherapy (β = -0.0597, p = 0.003), and use of RT (β = -0.0589, p < 0.001) were associated with the slope of the contralateral hippocampus volume model.

conclusionsThis study demonstrated volume loss in contralateral brain structures among LGG survivors, and patients who received RT experienced greater volume loss than those who did not. The results of this study may help to provide context for cognitive outcome research in LGG survivors and inform the design of future strategies to preserve cognition.

Indexed as

BrainBrain NeoplasmsCancer SurvivorsGliomaMagnetic Resonance ImagingAdolescentAdultAgedFemaleGray MatterHumansLongitudinal StudiesMaleMiddle AgedOrgan SizeRetrospective Studiesbrain volumetryhierarchical linear modelinglow-grade gliomaMRIoncologyradiation therapytumor

Identifiers

PMID38669700
PMCPMC11875424
OpenAlexW4395696838

What OpenQuestion holds

Textmetadata
LicenceTDM
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.