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Record W2150906568 · doi:10.14740/jocmr2313w

Squamous Cell Lung Cancer Associated With Systemic Sclerosis

2015· article· en· W2150906568 on OpenAlexvenueno aff
Nobuhiro Kanaji, Masaya Okuda, Hiroaki Dobashi, Tomohiro Kameda, Akira Tadokoro, Risa Wakiya, Norimitsu Kadowaki, Shuji Bandoh

Bibliographic record

VenueJournal of Clinical Medicine Research · 2015
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInterstitial lung diseaseLung cancerLungCancerDiseaseInternal medicineSquamous cell cancerDermatology

Abstract

fetched live from OpenAlex

We here describe a 50-year-old woman diagnosed with squamous cell lung cancer (SqLC) with underlying interstitial lung disease (ILD) 14 years after a diagnosis of systemic sclerosis (SSc). We reviewed the literature and collected 21 well-documented cases with SqLC associated with SSc including the present case. Several characteristics of SqLC associated with SSc have been found. First, the average age at diagnosis of SqLC is 57 years, which is much younger than that reported for patients without SSc. Second, SqLC could occur even in never or light smokers, although SqLC usually has a strong association with smoking history. Third, two-thirds of the available cases have ILD. In addition, SqLC developed in the area of ILD in most cases with ILD. Fourth, SqLC generally occurs after a long period from the diagnosis of SSc; the average of this interval reaches 12 years. It would be helpful to know these features so that physicians follow up and treat SSc patients adequately.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.334
GPT teacher head0.509
Teacher spread0.174 · 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 designCase report
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

Citations3
Published2015
Admission routes1
Has abstractyes

Explore more

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