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Record W4309509758 · doi:10.1097/mpa.0000000000002108

A Real-World, Population-Based Study for the Incidence and Outcomes of Neuroendocrine Neoplasms of Nondigestive, Nonpulmonary Primary

2022· article· en· W4309509758 on OpenAlexaff
Omar Abdel‐Rahman, Sunita Ghosh

Bibliographic record

VenuePancreas · 2022
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGenitourinary systemMedicineIncidence (geometry)Hazard ratioStage (stratigraphy)Internal medicineGynecologyEpidemiologyConfidence intervalGastroenterologyBiology

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study was to assess incidence and outcomes of neuroendocrine neoplasms (NENs) arising from primary sites other than digestive organs, lung, or thymic gland. METHODS: Surveillance, Epidemiology, and End Results database (1975-2016) was accessed, and cases of NENs arising from primary sites other than digestive organs, lung, or thymic gland were reviewed. Overall and cancer-specific survival outcomes for NENs arising from different organs compared with small intestinal NENs were evaluated. RESULTS: A total of 4405 patients were included in the study. Compared with small intestinal NENs, some NENs arising from uncommon sites in the current study have worse cancer-specific survival (hazard ratio [HR] for genitourinary vs small intestinal NENs, 1.80; 95% confidence interval [CI], 1.44-2.25; HR for gynecological vs small intestinal NENs, 1.88; 95% CI, 1.52-2.33). When the analysis was limited for patients with distant stage only, small intestinal NENs have better outcomes compared with genitourinary and gynecological NENs (HR for genitourinary NENs with distant stage vs small intestinal NENs with distant stage, 1.38; 95% CI, 1.01-1.88; HR for gynecological NENs with distant stage vs small intestinal NENs with distant stage, 2.02; 95% CI, 1.54-2.66). CONCLUSIONS: Compared with small intestinal NENs, NENs arising from uncommon sites (such as genitourinary, gynecological) have worse survival outcomes.

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)0.001
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 score0.003
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.019
GPT teacher head0.327
Teacher spread0.308 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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