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Record W2078793063 · doi:10.2174/138945010790030947

Pemetrexed: Potential Role in the Adjuvant Chemotherapy of Non-Small Cell Lung Cancer

2009· review· en· W2078793063 on OpenAlexaff
Mark Vincent

Bibliographic record

VenueCurrent Drug Targets · 2009
Typereview
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsCancer Care Ontario
Fundersnot available
KeywordsPemetrexedMedicineAdjuvantLung cancerChemotherapyOncologyAdjuvant chemotherapyCancer researchCancerInternal medicineCisplatin

Abstract

fetched live from OpenAlex

Platinum-based doublet chemotherapy is now established as a standard of care in the adjuvant treatment of resected stage II and stage IIIA nonsmall cell lung cancer, and seems reasonable also in resected stage IB when the primary tumor measures > or =4 cm. Several issues remain unresolved, however, including individualized selection of both the optimal platinum (cisplatin vs carboplatin), and the optimal nonplatinum drug; and identification of patients who will not need chemotherapy ("surgically cured"), as well as patients who cannot benefit because of inherently drug resistant disease. Furthermore, while efficacy remains a priority, it is also necessary to improve the management of toxicity, both because it may compromise dose intensity and because it carries a risk of morbidity and even mortality. Other issues, such as the role of postoperative radiotherapy, the choice between neoadjuvant and adjuvant approaches, the role of targeted agents, and the possibility of harm and how it can be mediated, also merit serious attention. Finally the durability of benefit, the question of late toxicity, and the importance of smoking cessation are also open questions. I will discuss a potential role for pemetrexed in the adjuvant treatment of early stage nonsmall cell lung cancer with some of these issues in mind.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.018
GPT teacher head0.367
Teacher spread0.349 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2009
Admission routes1
Has abstractyes

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