Evidence map›Paper›PMID 36438954›Full record

ArticleFrontiers in neurology2022

Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients.

Eric J Hsu, Jamie Thomas, Robert D Timmerman, Zabi Wardak, Tu D Dan, Toral R Patel, Nina N Sanford, Dat T Vo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

8 authors at 4 institutions in 1 country.

Eric J HsuDepartment of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
Jamie ThomasDepartment of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, United States.
Robert D TimmermanDepartment of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
Zabi WardakDepartment of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
Tu D DanDepartment of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
Toral R PatelDepartment of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, United States.
Nina N SanfordDepartment of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
Dat T VoDepartment of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
Southwestern Medical Center · USSouthwestern Medical CenterThe University of Texas Southwestern Medical Center · USNeurological Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Poor outcomes in glioblastoma patients, despite advancing treatment paradigms, indicate a need to determine non-physiologic prognostic indicators of patient outcome. The impact of specific socioeconomic and demographic patient factors on outcomes is unclear. We sought to identify socioeconomic and demographic patient characteristics associated with patient survival and tumor progression, and to characterize treatment options and healthcare utilization. Methods: A cohort of 169 patients with pathologically confirmed glioblastomas treated at our institution was retrospectively reviewed. Multivariable cox proportional hazards analysis for overall survival (OS) and cumulative incidence of progression was performed. Differences in treatment regimen, patient characteristics, and neuro-oncology office use between different age and depressive disorder history patient subgroups were calculated two-sample Results: The median age of all patients at the time of initiation of radiation therapy was 60.5 years. The median OS of the cohort was 13.1 months. Multivariable analysis identified age (Hazard Ratio 1.02, 95% CI 1.00-1.04) and total resection (Hazard Ratio 0.52, 95% CI 0.33-0.82) as significant predictors of OS. Increased number of radiation fractions (Hazard Ratio 0.90, 95% CI 0.82-0.98), depressive disorder history (Hazard Ratio 0.59, 95% CI 0.37-0.95), and total resection (Hazard Ratio 0.52, 95% CI 0.31-0.88) were associated with decreased incidence of progression. Notably, patients with depressive disorder history were observed to have more neuro-oncology physician office visits over time (median 12 vs. 16 visits, Conclusion: Older glioblastoma patients were less likely to receive as diverse of a treatment regimen as their younger counterparts, which may be partially driven by insurance type. Patients with depressive disorder history exhibited reduced incidence of progression, which may be due to more frequent health care contact during neuro-oncology physician office visits.

Indexed as

agedepressive disorderglioblastomainsuranceradiation therapysocioeconomic

Identifiers

PMID36438954
PMCPMC9691959
OpenAlexW4308860987

What OpenQuestion holds

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LicenceCC BY
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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.