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4CPS-097 Secondline treatment of metastatic non-small cell lung cancer with immune checkpoint inhibitors

2020· article· en· W3016962124 on OpenAlexfundno aff
FJ Salmeron Navas, C Martinez-Diaz, EM Barreiro-Fernandez, Mireia Cantero, S Fénix-Caballero

Bibliographic record

VenueSection 4: Clinical pharmacy services · 2020
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsnot available
FundersRio Tinto
KeywordsMedicinePembrolizumabInternal medicineOncologyLung cancerNivolumabAtezolizumabChemotherapyPerformance statusRetrospective cohort studyCancerAdverse effectImmunotherapy

Abstract

fetched live from OpenAlex

n=2: osimertinib and pembrolizumab based regimen) and grade 2 (n=3: anlotinib, dulanermin based scheme and atezolizumab based regimen). PFS was the primary outcome in 10/ 14 (71.4%) RCT and the co-primary outcome with OS in 3 of these trials. OS was the primary outcome in 4/14 (28.6%) RCT and QoL was assessed in 5/14 (35.7%) trials, with just one trial reporting a significant improvement. Conclusions were positive in 9/14 (64.3%) RCT. Conclusion and relevance QoL, which has been found to be a strong predictor of survival and toxicity outcomes, was evaluated in only 35.7% of the selected trials. It was also disturbing that only 50% of the trials considered OS as the primary/ co-primary efficacy outcome. However, the results seemed to be positive in 64.3% of trials.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.057
GPT teacher head0.382
Teacher spread0.325 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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