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Record W3117695288 · doi:10.1016/j.ctarc.2020.100294

Chemotherapy for Non-Small Cell Lung Cancer in the Intensive Care Unit

2020· article· en· W3117695288 on OpenAlexaff
Abdullah Nasser, Michael Hartwick, Kwadwo Kyeremanteng, Paul Wheatley‐Price

Bibliographic record

VenueCancer Treatment and Research Communications · 2020
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsPemetrexedMedicineChemotherapyIntensive care unitLung cancerMalignancyCisplatinAdenocarcinomaIntensive careOncologyIntensive care medicineInternal medicineCancer

Abstract

fetched live from OpenAlex

BACKGROUND: patients with non-small-cell lung cancer (NSCLC) admitted to the intensive care unit have poor prognosis. There is limited data on cytotoxic chemotherapy in this setting. The standard of care for these patients is usually best supportive care. CASE: 60-year-old previously healthy female was admitted to the ICU with newly diagnosed mucinous adenocarcinoma of the lung. She received cisplatin and pemetrexed while intubated and mechanically ventilated. She was extubated a week later and discharged home after achieving an excellent radiographic and clinical response. DISCUSSION: in select patients with NSCLC admitted to the ICU due to complications from their malignancy, a trial of cytotoxic chemotherapy may be reasonable. To our knowledge, this is the first case of mucinous NSCLC treated in the ICU.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.146
GPT teacher head0.457
Teacher spread0.311 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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