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Record W4362635831 · doi:10.53350/pjmhs2023172431

Frequency of Pyloric Stenosis in Patients Presenting with Persistent Vomiting

2023· article· en· W4362635831 on OpenAlexaff
Zabih Ullah, Rania Hidayat, Hafizullah Khan, Waqar Zulfiqar, Adil Naseer, Shawana Asad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicIntestinal Malrotation and Obstruction Disorders
Canadian institutionsAbbott (Canada)
Fundersnot available
KeywordsPyloric stenosisVomitingMedicinePylorusStenosisStomachHypertrophic Pyloric StenosisGastric outlet obstructionInternal medicineGastroenterology

Abstract

fetched live from OpenAlex

Introduction: Pyloric stenosis is an uncommon condition in infants characterized by abnormal thickening of the pylorus muscles in the stomach leading to gastric outlet obstruction. Clinically infants are well at birth. Then, at 3 to 6 weeks of age, the infants present with "projectile" vomiting which can lead to dehydration and weight loss. Objective: To determine the frequency of pyloric stenosis in patient presenting with persistent vomiting. Material and Method: This Cross Sectional Study was conducted in the department of Gastroenterology, ATH, Abbottabad from 5th October 2020 to 5th April 2021. A total of 115 patients of both gender with persistent vomiting for more than 5 days were included in the study. Abdominal ultrasound was done by a consultant gastroenterologist of three years post fellowship experience. Pyloric stenosis was noted. Results: Age range in this study was from 1 to 40 years with mean age of 6.226±6.62 years and mean duration of complaints was 9.869±3.76 days. Male patients were 88.7%% and females were 11.3%%. Pyloric Stenosis was observed in 93% patients. Conclusion: Our study concluded that that pyloric stenosis is 4 times more common in males compared to females and is more common among younger age groups as compared to adult patients. Keywords: Persistent vomiting, pyloric stenosis, Ultrasound, Frequency

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)0.000
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 score0.015
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.247
Teacher spread0.228 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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