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Record W2784723079 · doi:10.21873/anticanres.12185

The Role of Prophylactic Cranial Irradiation for Non-small Cell Lung Cancer

2018· review· en· W2784723079 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnticancer Research · 2018
Typereview
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsTrinity College
Fundersnot available
KeywordsConventional PCIProphylactic cranial irradiationMedicineNeurocognitiveLung cancerQuality of life (healthcare)Incidence (geometry)OncologyToxicityInternal medicineCancerSurgeryCognition

Abstract

fetched live from OpenAlex

BACKGROUND: The use of prophylactic cranial irradiation (PCI) to treat brain metastases (BM) in non-small cell lung cancer (NSCLC) is restricted due to the potential associated toxicity and lack of survival benefit. BM can have a negative impact on neurocognitive function (NF) and quality of life (QOL). The aim of this review was to assess the impact of PCI on disease-specific and NF and QOL outcomes. MATERIALS AND METHODS: An electronic database literature search was completed to identify relevant studies. RESULTS: Fourteen published articles were included. PCI significantly reduced the incidence of BM, but no significant survival advantage was found. NF decline was reported in one trial. No significant difference in QOL with PCI was reported. PCI was well tolerated by the majority of patients with NSCLC and associated with a relatively low toxicity. CONCLUSION: PCI reduces the incidence of BM without any significant survival advantage. PCI has the potential to be beneficial in practice for certain patients with locally advanced NSCLC, based on disease factors and patient preference.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.106
GPT teacher head0.471
Teacher spread0.365 · 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