MétaCan
Menu
Back to cohort

Hope drives quality of life in patients with brain metastases, but the hope center remains elusive: An analysis of NRG-CC003.

2024· article· en· W4401326757 on OpenAlexaff
Benjamin W. Corn, Rebecca Paulus, Vinai Gondi, Minesh P. Mehta, Shannon Fogh, Jeffrey S. Wefel, Gregory M.M. Videtic, A. Sun, Harold Yoon, J.H. Heinzerling, Ronald C. McGarry, Vijayananda Kundapur, Kiran Devisetty, Abraham J. Wu, Andrew A. Kanner, Stephanie L. Pugh, Benjamin Movsas, Lisa A. Kachnic

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsSaskatchewan Cancer AgencyUniversity of SaskatchewanPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Center (category theory)OncologyInternal medicineGerontology

Abstract

fetched live from OpenAlex

12011 Background: NRG-CC003, a phase II/III study, randomized 393 patients with small cell lung cancer to prophylactic cranial irradiation (PCI) with or without Hippocampal Avoidance (HA). “Hopefulness” is a cognitive construct based on 3 components: goals; pathways to reach those goals; and agency (i.e., motivation to embark on the pathway). Hope can be measured with validated instruments. Since hope is cognitive in nature, the existence of a “hope center” in the brain -- most likely in the hippocampus -- has been hypothesized. One exploratory objective of NRG-CC003 posited that if hope levels (measured pre- and post-PCI) were better maintained in patients randomized to PCI+HA (in comparison to patients treated by PCI without hippocampal protection), then the hippocampus would, indeed, be implicated as part of the mechanism of hopefulness. Methods: In both arms, PCI consisted of 10 fractions of 2.5 Gy. The Adult Hope Scale (AHS) was administered at time-zero and at 6-months. With regard to patient reported outcome (PRO) measures, the EORTC QLQ-C30 was administered at baseline and then at 3, 6-, 12-, 18- and 24-month intervals. Comparisons of AHS scores by arm were made using Wilcoxon-Mann-Whitney tests, and correlation of AHS with EORTC QLQ-C30 by Pearson correlation coefficients. Results: Approximately 95% of patients completed the AHS at baseline and 67% filled out the questionnaire at 6-months which paralleled the completion rates of the conventional tools for QOL and neurocognition that were employed in the study. When comparing hope levels (change from baseline to 6 months) there was no significant difference (p > 0.05) between the two arms of the trial (PCI vs PCI + HA). There was a significant correlation for the components of hopefulness with QOL; specifically, between change in agency score and QLQ-C30 global health status (p < 0.0001) as well as between change in pathways score and QLQ-C30 global health status (p = 0.022). Conclusions: It is feasible to study hopefulness in the context of prospective trials conducted within the NCTN. The hippocampus could not be implicated as a critical structure in a central pathway that coordinates hopefulness. Whether these data categorically refute the “hope-hippocampal hypothesis” will be discussed vis-à-vis several caveats (e.g., selection of AHS; presence of sufficient cognitive reserve post-irradiation; adequacy of the dose-delta between the 2 arms to cause differential levels of damage to the purported hope center). For the first time, a validated tool prospectively established a relationship between hope and quality of life among patients with cancer. Given previous NRG studies correlating QOL with oncologic endpoints (e.g., local control and survival), modelling will be carried out to determine if hope mediates, results from, or is associated with these endpoints. Clinical trial information: NCT02635009 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.088
GPT teacher head0.469
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicBrain Metastases and TreatmentFrench-language works237,207