Evidence map›Paper›PMID 37902916›Full record

ArticleJournal of neuro-oncology2023

Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors.

Macy L Stockdill, Tito Mendoza, Terri S Armstrong, Christine Miaskowski, Bruce Cooper, Elizabeth Vera

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2023. 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
0.6field-weighted citation impact, top 26% 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, 2 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

6 authors at 2 institutions in 1 country.

Macy L StockdillNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, USA. macy.stockdill@nih.gov.
Tito MendozaNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, USA.
Terri S ArmstrongNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, USA.
Christine MiaskowskiSchool of Nursing, University of California San Francisco, San Francisco, USA.
Bruce CooperSchool of Nursing, University of California San Francisco, San Francisco, USA.
Elizabeth VeraNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, USA.
National Institutes of Health · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to identify health-related quality of life (HRQOL) latent classes among primary central nervous system tumor (PCNST) long-term survivors (LTS) and to evaluate differences between classes in survivor sociodemographic characteristics, clinical characteristics, and symptoms to guide  the development of survivorship care programs tailored to unique class needs.

methodsData from 298 PCNST LTS reporting HRQOL on the EQ-5D-3L were analyzed using latent profile analysis. Correlations and independent group t-tests were performed to identify differences between identified HRQOL classes by sociodemographic, clinical characteristics, and symptoms.

resultsSample mean age was 48 years, 54% were male, 82% Caucasian, 56% employed, 60% had a high-grade glioma, and 52% had a KPS ≥ 90. Two HRQOL classes, good (61%) and poor (39%), were identified. The good HRQOL class reported no problems with self-care and few problems with mobility or usual activities. Thirty-eight percent reported anxiety and depression and 21% pain. Over 94% of the poor HRQOL class had at least moderate problems with mobility and usual activities, and over 50% had pain, self-care issues, anxiety, and depression. Older age (φ = 0.21), unemployment (φ = 0.30), spine tumors (φ = 0.18), active treatment (φ = 0.20), tumor recurrence (φ = 0.28), and poorer KPS scores (φ = 0.61) were associated with membership in the poor HRQOL class.

conclusionsIn the poor PCNST LTS HRQOL class, an overwhelming majority faced significant physical challenges, and the good HRQOL class experienced mood-related disturbance but limited physical challenges. These HRQOL profiles can be used to guide survivorship programs and tailored interventions.

Indexed as

Central Nervous System NeoplasmsQuality of LifeFemaleHealth StatusHumansMaleMiddle AgedNeoplasm Recurrence, LocalPainSurveys and QuestionnairesSurvivorsCancerFunctional statusHealth-related quality of lifeSurvivors

Identifiers

PMID37902916
PMCPMC10638191
OpenAlexW4388035482

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.