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Record W1562330927 · doi:10.1159/000151875

Cancers of the Head and Neck

2008· review· en· W1562330927 on OpenAlexaff
Hans Krueger, D. J. McLean, D.J.L. Williams

Bibliographic record

VenueProgress in experimental tumor research · 2008
Typereview
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsHead and neckHead (geology)MedicineBiologySurgeryPaleontology

Abstract

fetched live from OpenAlex

A second primary cancer (SPC) is a new primary cancer developing in a person with a history of cancer in a new site or tissue and subsequent to the initial cancer. Advances in cancer treatment have led to marked improvements in cancer cure rates over the past 30 years, and the control of risk factors has further increased longevity. Still, cancer survivors are at increased risk not only for recurrence of the primary cancer but also for the development of second primary malignancies, the latter being especially true for survivors of childhood cancer. SPCs are now more common, and research into them has intensified. This monograph provides a synthesis of the current research on SPC, culminating in pertinent summary charts, covering the whole spectrum of first and second primary cancers and the association between them. Readers will gain a general understanding of the epidemiology and of the excess risk of SPCs following an implicated first malignancy. The known or suspected etiologic factors for SPCs are identified, and the field is further narrowed to those factors that are modifiable in practice. Effective preventive measures that might reduce the burden of SPC, both for individuals and across at-risk populations, are presented. Providing practical guidance in terms of possibilities and priorities, this monograph will be a valuable tool for oncologists, general practitioners and health administrators.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.006

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 head0.202
GPT teacher head0.524
Teacher spread0.322 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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