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Record W2341272897 · doi:10.1080/23809000.2016.1140556

Neurocognition and quality-of-life in brain metastasis patients who have been irradiated focally or comprehensively

2016· article· en· W2341272897 on OpenAlexaff
Anthony Pham, Simon S. Lo, Arjun Sahgal, Eric L. Chang

Bibliographic record

VenueExpert Review of Quality of Life in Cancer Care · 2016
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsNeurocognitiveMedicineRadiosurgeryQuality of life (healthcare)Radiation therapyOncologyRandomized controlled trialBrain metastasisDiseaseClinical trialInternal medicineIntensive care medicineMetastasisCancerCognitionPsychiatry

Abstract

fetched live from OpenAlex

As patients are living longer with metastatic disease, preservation of quality of life (QoL) becomes an important goal as treatment shifts from curative to palliative intent. Stereotactic radiosurgery (SRS) has emerged as an alternative to whole brain radiation therapy (WBRT) in the treatment of brain metastases. The decision between SRS and WBRT balances the competing risks of neurocognitive side effects, which are higher in patients treated with WBRT, with risks of intracranial recurrence, which are higher in patients treated with SRS alone. Within this review, we summarize the types of neurocognitive and QoL tests used in clinical trials, and the randomized control trials (RCTs) that evaluated the impact of radiation therapy (RT) on neurocognition and QoL.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.286
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.156
GPT teacher head0.440
Teacher spread0.283 · 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 teacher head, 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

Citations6
Published2016
Admission routes1
Has abstractyes

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