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Epidemiology of Neuroendocrine Neoplasms in the US

2025· article· en· W4411582339 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
FundersUniversity of Texas MD Anderson Cancer CenterNational Cancer InstituteNational Institutes of HealthIpsenAdvanced Accelerator ApplicationsExelixisSanofiAmgen
KeywordsEpidemiologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Importance: Neuroendocrine neoplasms (NENs) are increasing in incidence; prevalence and at the same time, practice patterns have also evolved, impacting classification and survival of these malignant neoplasms. However, updated epidemiological data are lacking. Objective: To define the epidemiological and survival trends of patients with NENs in the US. Design, Setting, and Participants: This cross-sectional study used data from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program on NEN cases from 1975 to 2021. Analysis of project data was conducted between August 2023 and August 2024. Main Outcomes and Measures: Annual age-adjusted incidence between 1975 and 2021, limited duration prevalence, and overall survival (OS) rates. Recent trends in survival were evaluated from 2000 to 2021 for the entire cohort as well as specific subgroups including distant stage gastrointestinal neuroendocrine tumors (NETs) and pancreatic NETs. Results: In this analysis of 145 447 NEN cases (mean [SD] age, 61.4 [14.7] years; 76 057 female [52.4%]), the age-adjusted incidence rate increased 5.2-fold from 1975 (1.64 per 100 000 persons; 95% CI, 1.43-1.87 per 100 000 persons) to 2021 (8.52 per 100 000 persons; 95% CI, 8.33-8.70 per 100 000 persons) except for a dip in 2020 likely related to the COVID pandemic. This increase occurred across all sites, stages, and grades but was most marked for localized stage neoplasms (13-fold; 1975: 0.40 per 100 000 persons [95% CI, 0.30-0.52]; 2021: 5.04 per 100 000 persons [95% CI, 4.78-5.30]), well-differentiated neoplasms (53-fold; 1975: 0.04 per 100 000 persons [95% CI, 0.02-0.09]; 2021: 2.30 per 100 000 persons [95% CI, 2.13-2.48]), and neoplasms with the appendix (12-fold; 1975: 0.11 per 100 000 persons [95% CI, 0.09-0.22]; 2021: 1.68 per 100 000 persons [95% CI, 1.39-1.78]) or rectum (12-fold; 1975: 0.11 per 100 000 persons [95% CI, 0.06-0.18]; 2021: 1.32 per 100 000 persons [95% CI, 1.19-1.46]) as primary sites. Since 2000 (SEER 17 registry), the sites with the highest incidence rates included lung (1.49 per 100 000 persons) and gastroenteropancreatic (GEP) NENs (6.1 per 100 000 persons); within GEP NENs, small bowel (1.4 per 100 000 persons) and pancreas (1.3 per 100 000 persons) were the most common sites. The estimated 20-year limited duration prevalence of NENs in the US on January 1, 2021, was 243 896 cases. OS for all NENs improved from the 2000-2006 period to the 2014-2021 period (hazard ratio [HR], 1.42; 95% CI, 1.38-1.45). In addition, other factors associated with survival included age, stage, grade, and primary site of origin. The median OS for all NENs was 11.8 years, and for distant-stage, well-differentiated neuroendocrine tumors it was 6.7 years with 10-year OS ranging from 17 410 patients (15.4%) with rectum as primary site to 17 505 patients (51.7%) with small bowel as primary site. Conclusions and Relevance: Incidence and prevalence of NENs continue to rise driven by increased diagnosis of early stage disease. Survival for NENs has also improved over time.

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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)0.001
metaresearch head score (Gemma)0.002
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 score0.116
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.045
GPT teacher head0.395
Teacher spread0.350 · 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