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Record W2413889140

[Management of central-type early lung cancer: an evidence-based clinical guideline].

2004· article· en· W2413889140 on OpenAlexaff
Akira Sakurada, Chiaki Endo, Masami Sato, Takashi Kondo

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsMedicineLung cancerGuidelineSputumChristian ministryBronchoscopyIntensive care medicineCytologyCancerLungGeneral surgerySurgeryInternal medicinePathologyTuberculosis
DOInot available

Abstract

fetched live from OpenAlex

With the support of the Japan Ministry of Health, Labour and Welfare, clinical guidelines for the management of lung cancer have been completed according to evidence-based methods. In this article, we focus on the guidelines for central-type early lung cancer. Reviewing a total of 3,196 reports that include key words related to central-type early lung cancer, 41 were selected and applied to determine recommendations for diagnostic or therapeutic methods. Among diagnostic methods, sputum cytology for the high-risk group and bronchoscopy for patients with positive sputum cytology were evaluated as recommendable. Among therapeutic methods, surgery and photodynamic therapy were evaluated as recommendable. For some methods, including fluorescence bronchoscopy and endobronchial ultrasonography brachitherapy, there was insufficient evidence to conclude that they are efficacious. At present, efforts to clarify the efficacy of these methods should be continued.

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)0.003
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.003

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 head0.078
GPT teacher head0.379
Teacher spread0.301 · 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
GenreMethods

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

Citations0
Published2004
Admission routes1
Has abstractyes

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