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Record W2518515749 · doi:10.5539/gjhs.v9n4p106

The Prevalence and Risk Factors of Gallstone among Adults in Karachi, South Pakistan: A Population-Based Study

2016· article· en· W2518515749 on OpenAlexvenueno aff
Muhammad Bilal, Abdul Haseeb, Muhammad Saad, Muhammad Ahsan, Madiha Raza, Aafia Ahmed, Waqas Shahnawaz, Bilal Ahmed, Vanita Motiani

Bibliographic record

VenueGlobal Journal of Health Science · 2016
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGallstonesDemographyLogistic regressionIncidence (geometry)PopulationMarital statusInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

<p><strong>INTRODUCTION: </strong>The present study was aimed to determine the prevalence and risk factors of GSD among a sample of general population in Karachi, South Pakistan.</p><p><strong>METHODOLOGY: </strong>A multistage random sampling method was employed on 30 clusters, where 60 subjects of age>=25 years were randomly recruited from the study population from June 2013 till March 2015. Finally, data was analyzed and logistic regression models were used to find the correlation between selected variables and gallstone disease.</p><p><strong>RESULTS: </strong>It was found that 184 patients had echogenic mass with shadowing on ultrasonography; yielding a prevalence of 10.2% for gallstones in the study participants. The occurrence was higher in females (14.8%) than in male participants (5.7%). Further, participants over 40 years of age and single, widow/separated subjects had higher incidence of gallstones than married individuals. Moreover, an indirect correlation was obtained with daily physical activity, consumption of fruits, vegetables and fish with development of GD.</p><p><strong>CONCLUSION: </strong>It can be evaluated that daily physical activity, female gender, increasing age and marital status play an important role in progression of GSD. Understanding pathogenesis and physiological mechanism involved in GSD can help to determine therapeutic options other than surgical treatment.</p>

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)0.000
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 score0.174

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.013
GPT teacher head0.322
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.

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

Citations20
Published2016
Admission routes1
Has abstractyes

Explore more

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