MétaCan
Menu
Back to cohort
Record W4412892559 · doi:10.36106/ijsr/3701881

TO STUDY THE PREVALENCE AND RISK FACTORS OF HEMORRHOIDS IN TERTIARY CARE CENTER

2025· article· en· W4412892559 on OpenAlexaff
Anas Anas, Avanish Kumar Saxena, Puneet Agrawal, Vayalapalli Syama Chinmayi, Shaila Naaz

Bibliographic record

VenueINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · 2025
Typearticle
Languageen
FieldMedicine
TopicAnorectal Disease Treatments and Outcomes
Canadian institutionsVictoria General Hospital
Fundersnot available
KeywordsTertiary careCenter (category theory)HemorrhoidsMedicineFamily medicineSurgery

Abstract

fetched live from OpenAlex

Aim: The study aims to recognize the incidence and risk factors of hemorrhoids among patients in a tertiary care center. Methods: The demographic details from all the patients were noted. Their dietary habits, bowel habits, amount of physical activity, smoking and alcohol use were noted in detail. Results: The age group above 40 years (72.45%), male gender (65.6%), low educational level (52.48%), lower socioeconomic status (66.75%), family history of hemorrhoids (59.34%), constipation (79.89%), longer duration of stay in the toilet for evacuation (62.25%), chronic cough (55.65%) majorly promotes the risk of development of hemorrhoids. In addition major factors were: no daily consumption of fresh fruits and vegetables, daily intake of spicy foods, inadequate intake of water, sedentary lifestyles, and high body mass index. Conclusion: Healthcare providers should increase the information of people regarding the risk factors that prone people to hemorrhoids. By educating the public about the risk factors of hemorrhoids and their preventive techniques, hemorrhoids incidence could be brought down.

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 score0.007
Threshold uncertainty score0.110

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.041
GPT teacher head0.429
Teacher spread0.388 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCHSame topicAnorectal Disease Treatments and OutcomesFrench-language works237,207