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Record W4224005815 · doi:10.21203/rs.3.rs-1353951/v1

Infantile Hypertrophic Pyloric Stenosis, the Cause of Non-bilious Vomiting of a 3-day-old Male Infant with Situs Inversus Totalis; A Case Report

2022· preprint· en· W4224005815 on OpenAlexaff
Ali Samady Khanghah, Khashayar Atqiaee, Ali Tabatabaey

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicIntestinal Malrotation and Obstruction Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSitus inversusHypertrophic Pyloric StenosisMedicineVomitingPylorusPyloric stenosisAnatomySurgeryInternal medicineStomach

Abstract

fetched live from OpenAlex

Abstract Background: The Synchronicity of Situs Inversus totalis (SIT) and infantile hypertrophic pyloric stenosis (IHPS) is a rare phenomenon with only 2 reported cases in the literature. SIT is a mirror transposition of the major visceral organs, arranged along a left-right axis. Its prevalence is 0.1—0.6 per 10,000 live births. Rarely it is accompanied by neonatal intestinal obstruction, congenital heart defects, primary ciliary dyskinesia, renal disorders, biliary atresia, skeletal dysplasia, and mental retardation. IHPS is muscular hypertrophy of the pylorus, which results in gastric outlet obstruction leading to post-feeding non-bilious projectile vomiting. Its common age of involvement is three weeks to 3 months and is rarely reported in newborns. Case presentation: We have reported a case of synchronous SIT and IHPS in a 3-day-old newborn with classic symptoms. Following hemodynamic resuscitation, he underwent pyloromyotomy. The recovery and follow-up periods were uneventful, and the child's growth has resumed naturally. Conclusions: We present a patient with two extremely rare disorders leading to gastric outlet stenosis. In a newborn, even non-bilious vomiting can be a sign of a serious underlying condition and demands careful evaluation.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.046
GPT teacher head0.360
Teacher spread0.313 · 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
Published2022
Admission routes1
Has abstractyes

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