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Record W4416096917 · doi:10.24908/qap.v1i3.18899

Nutcracker Syndrome, Autonomic Dysfunction, and Dysmotility

2025· article· W4416096917 on OpenAlexaff
Ariane Tadeson

Bibliographic record

VenueQapsule Queen s Undergraduate Health Sciences Journal · 2025
Typearticle
Language
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsQueen's University
Fundersnot available
KeywordsAutonomic nervous systemConstipationTherapeutic approachPheochromocytomaNorepinephrineEnteric nervous systemSympathetic nervous systemClinical trial

Abstract

fetched live from OpenAlex

This review explores the multifaceted relationship between Nutcracker Syndrome (NCS), autonomic dysfunction, and gastrointestinal dysmotility. Through analysis of literature mediated through elevated norepinephrine (NE) levels. This dysregulation leads to gastrointestinal dysmotility in affected individuals. The evidence strongly suggests that sympathetic nervous system overactivity functions as an intermediary mechanism linking NCS to gastrointestinal symptoms. Conventional constipation treatments frequently prove ineffective in these cases, as they fail to address underlying autonomic components. Drawing from successful therapeutic strategies employed in pheochromocytoma cases, where alpha-adrenergic antagonists have demonstrated efficacy in treating catecholamine-induced constipation, this review presents an innovative therapeutic approach for NCS patients experiencing gastrointestinal symptoms. Specifically, the findings indicate that alpha-adrenergic blockade may provide therapeutic benefits by targeting autonomic dysfunction. This observation emphasizes the fundamental importance of implementing comprehensive diagnostic and therapeutic approaches that simultaneously address all three interconnected conditions. Furthermore, this paper strongly advocates for extensive additional research and the implementation of clinical trials to definitively confirm these proposed associations and evaluate the effectiveness of this novel therapeutic approach.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.327
Teacher spread0.309 · 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.

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
Published2025
Admission routes1
Has abstractyes

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