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Record W2074478643 · doi:10.1159/000201205

Bronchial and Thymic Carcinoid Tumors: A Review

2009· review· en· W2074478643 on OpenAlexaff
Michael Dusmet, Martin F. McKneally

Bibliographic record

VenueDigestion · 2009
Typereview
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineCarcinoid tumorsCarcinoid syndromeNeuroendocrine tumorsAsymptomaticChemotherapyLymphPathologyPneumoniaLymphatic systemDiseaseRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Bronchial carcinoid tumors are usually indolent, slow-growing tumors with an excellent prognosis. However, even typical carcinoids can metastasize to regional lymph nodes or to distant sites. Atypical carcinoids tend to behave more invasively with more frequent nodal and distant metastases. Despite this, long-term survival can be expected as many tumors grow and spread slowly. At the end of the spectrum are the highly aggressive small cell carcinomas which have a very poor prognosis despite aggressive chemotherapy. Clinically, carcinoid tumors are frequently asymptomatic. Symptoms are most frequently due to obstruction (pneumonia, 'asthma', coughing) or bleeding. Carcinoid syndrome is seen infrequently and usually signifies metastatic disease. Cushing's syndrome is occasionally seen in association with these tumors. The treatment of carcinoid tumors is surgical. Resection should be complete and encompass the regional lymph nodes.

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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0050.004
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.048
GPT teacher head0.391
Teacher spread0.344 · 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

Citations22
Published2009
Admission routes1
Has abstractyes

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