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Clinical and echocardiographic characteristics of neuroendocrine tumours and carcinoid heart disease: insights from a contemporary canadian cohort study

2025· article· en· W7127943368 on OpenAlexaffabout
Jung-Ki Yoon, C Yeung, J M Loree, J Wong, J Mazengarb, T S M Tsang, C L Luong, M Y C Tsang, Margot K. Davis, John Jue, K Gin, Parvathy Nair, D F Yeung

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCarcinoid Heart DiseaseCohortRetrospective cohort studyCohort studyCarcinoid tumourCarcinoid syndromeDiseaseHeart disease

Abstract

fetched live from OpenAlex

Abstract Background Neuroendocrine tumours (NETs) are uncommon cancers that can secrete vasoactive hormones, causing a range of symptoms. Approximately 50% of metastatic small bowel NETs develop carcinoid syndrome, with up to 50% historically developing carcinoid heart disease (CHD). With advances in medical therapy, contemporary characteristics and prognosis of CHD are unclear. Purpose To evaluate clinical characteristics, echocardiographic features, and outcomes of patients with NETs and CHD in a contemporary Canadian cohort and identify factors associated with CHD development and mortality. Methods This retrospective cohort study analyzed patients undergoing echocardiograms at a tertiary cancer centre-affiliated laboratory (2013-2023) with references to NETs or CHD in reports. Patients were classified based on whether they did or did not develop CHD in the study period. Baseline clinical characteristics, treatments, and outcomes were compared between the two groups. Baseline echocardiographic data (≤6 months from NET diagnosis) were reviewed to characterize features associated with CHD development. Interventions were compared between patients who survived <2.5 years after CHD diagnosis and those who survived ≥2.5 years or were alive by the end of the study period. Results In this 10-year period, 87 patients with NETs were identified [42 (48%) female; median age 61 (IQR 53-69) years] and 18 (21%) developed CHD [8 (44%) female; median age 66 (IQR 59-71) years]. Primary NETs of small bowel origin were more common in patients with CHD than those without CHD (83% vs. 55%, p=0.032). CHD patients exclusively had right-sided valve involvement: 100% tricuspid and 61% pulmonary; 2 (11%) had a patent foramen ovale. Compared to non-CHD patients at baseline echo, CHD patients demonstrated higher mean right atrial volume index (41mL/m2 vs 24mL/m2, p=0.001), higher mean right ventricular (RV) basal diameter (40mm vs. 34mm, p=0.006), and more frequent RV dysfunction (22% vs. 0%, p<0.001). Surgical valve replacement was performed in 9 (50%) CHD patients and was indicated but deferred in 6 (33%) due to competing comorbidities. The median survival of CHD patients was 2.4 vs. 13.4 years without CHD (p<0.001). NET progression and refractory heart failure were main reasons for mortality. Among CHD patients, primary NET resection was significantly associated with improved survival (p=0.009). Tyrosine kinase inhibitors and radiation therapy showed trends toward improved survival. Conclusions In our cohort of patients with NETs, CHD prevalence was lower than previously reported with all cases affecting only right-sided valves. Over half developed an indication for valve replacement though many were ineligible. Contemporary therapeutics, including medical and radiation therapies, showed trends toward improved survival. Further studies are needed to determine reasons behind differences in CHD prevalence, valvular involvement, and outcomes in the current era.Study design and findings Table 1.Clinical and echo data

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.080
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.341
Teacher spread0.306 · 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 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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