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Record W2189851308 · doi:10.7759/cureus.400

SBRT Treatment of Metachronous Small-Cell and Non-Small-Cell Lung Carcinomas in a Patient with Severe COPD

2015· article· en· W2189851308 on OpenAlexaff
Adele Duimering, Zsolt Gabos, Brock Debenham

Bibliographic record

VenueCureus · 2015
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineRadiation therapyEtoposideLung cancerStage (stratigraphy)Prophylactic cranial irradiationChemoradiotherapyRadiologyChemotherapyLungCOPDOncologySurgeryInternal medicineConventional PCI

Abstract

fetched live from OpenAlex

Stereotactic body radiotherapy (SBRT) has not been widely employed in the treatment of limited-stage (LS) small-cell lung cancer (SCLC), although SBRT finds particular utility in patients medically unfit to undergo surgical resection or radiotherapy with conventional fields. The authors present the case of a 61-year-old female smoker with severe chronic obstructive pulmonary disease (COPD), diagnosed incidentally with LS-SCLC. Concurrent chemoradiotherapy was contraindicated by her poor pulmonary function, and she was treated radically with four cycles of cisplatin and etoposide chemotherapy. This was followed by prophylactic cranial irradiation and consolidative SBRT (48 Gy in 4 fractions) to the residual tumour, which achieved a complete clinical response. Fifteen months following the patient's initial diagnosis, a metachronous Stage IA contralateral non-small cell lung cancer (NSCLC) was incidentally diagnosed and was treated with SBRT (48 Gy in 4 fractions). Although studies have established that the incidence of a second lung cancer is higher in patients with previous SCLC, this case is unique in that both primaries were treated with SBRT.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.604

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)0.0000.000

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 head0.287
Teacher spread0.254 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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