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Record W2069452915 · doi:10.14740/gr632w

Autonomic and Enteric Nervous System Dysfunction May Play a Role in Hyperemesis Gravidarum

2015· article· en· W2069452915 on OpenAlexvenueno aff
Joy Hughes, Neeta G. Nayak, Naeem Aslam, Hani Rashed, Sérgio Cardoso, Babajide O. Familoni, James G. Karas, David C. Shaver, Robert Egerman, Alan Wallstedt, Caroline A. Riely, Thomas L. Abell

Bibliographic record

VenueGastroenterology Research · 2015
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesUniversity of Louisville
KeywordsMedicineAutonomic nervous systemNauseaHyperemesis gravidarumVomitingEnteric nervous systemInternal medicineSympathetic nervous systemCholinergicParasympathetic nervous systemGastroenterologyPathophysiologyEndocrinologyAnesthesiaVasoconstrictionHeart rateBlood pressure

Abstract

fetched live from OpenAlex

BACKGROUND: Nausea and vomiting, seen in 70-85% of all pregnancies, becomes intractable in hyperemesis gravidarum (HG). We aimed to investigate the relationship between HG and autonomic nervous system functioning and gastric electrical activity. METHODS: Twenty-seven pregnant patients, 21 with HG and six normal, were studied with sympathetic adrenergic; percent vasoconstriction (%VC) and postural adjustment ratio (PAR); parasympathetic vagal cholinergic functions by R-to-R intervals (RRIs), a total autonomic score; and enteric nervous system measured by electrogastrography (EGG). RESULTS: Significant differences were found in parasympathetic measures (RRI for HG 29.98 ± 2.95 vs. control 40.91 ± 2.38, P < 0.05); sympathetic PAR was significantly lower in patients (PAR for HG 24.5 ± 5.0 vs. 67.6 ± 11.4 for controls, P < 0.01); mean total autonomic score was significantly lower in HG (131.75 ± 9.61 vs. 196.87 ± 12.8, P < 0.05). EGG results were borderline different (normal < 3.3, HG 3.4 vs. controls 3.0, P = 0.07). CONCLUSION: Autonomic and enteric nervous system dysfunction may play a role in the pathophysiology of HG.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.004
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.065
GPT teacher head0.347
Teacher spread0.282 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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