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Record W2020779524 · doi:10.1358/dot.2004.40.10.863742

Gefitinib: Current status in the treatment of non-small cell lungcancer

2004· review· en· W2020779524 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDrugs of today · 2004
Typereview
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsnot available
Fundersnot available
KeywordsGefitinibMedicineLung cancerTolerabilityOncologyEpidermal growth factor receptorInternal medicineChemotherapyTyrosine-kinase inhibitorCancerAdverse effect

Abstract

fetched live from OpenAlex

Gefitinib (Iressa) is a novel drug approved in 28 countries (as of June 2004), including Japan, the US, Canada and Australia as second- and third-line monotherapy for the treatment of locally advanced or metastatic non-small cell lung cancer refractory to prior chemotherapy. Gefitinib is an orally active, epidermal growth factor receptor (EGFR)-tyrosine kinase (EGFR-TK) reversible inhibitor which blocks EGFR phosphorylation and subsequent signal transduction pathways involved in proliferation, metastasis, angiogenesis and apoptosis inhibition. Recently, mutations in the TK domain of the EGFR have been identified in those patients with refractory non-small cell lung cancer who achieved dramatic tumor responses to gefitinib. Although the role of EGFR-TK mutation status in predicting other clinical benefits with gefitinib, i.e. disease stabilization and symptom improvement, is unclear, these findings, along with increasing knowledge of other potential biomarkers of response, are significant developments towards further optimizing the use of gefitinib. Gefitinib has favorable pharmacokinetic and pharmacodynamic properties and low toxicity. No dosage adjustment is required for patient age, body weight, gender, ethnicity or moderate to severe hepatic impairment due to liver metastases. Several clinical studies on gefitinib as monotherapy have demonstrated clinically significant symptom relief, tumor response and good tolerability after failure of chemotherapy-based treatment in non-small cell lung cancer. These studies led to gefitinib approval in many countries as a new therapeutic option for patients with advanced non-small cell lung cancer that failed prior chemotherapy. In contrast to the clinical benefit imparted by gefitinib as monotherapy in patients previously treated with chemotherapy, gefitinib in combination with standard platinum-based chemotherapy in chemonaive patients did not improve either survival or other clinical endpoints in non-small cell lung cancer. This review provides currently available data from clinical studies on gefitinib as monotherapy or in combination with platinum-containing chemotherapy.

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)0.000
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 score0.978
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.033
GPT teacher head0.383
Teacher spread0.350 · 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