MétaCan
Menu
Back to cohort
Record W4392569509 · doi:10.61186/armaghanj.28.3.371

Two Centers Affiliated to Shiraz University of Medical Sciences

2023· article· en· W4392569509 on OpenAlexaboutno aff
M Alizadeh Nayini, A Molvi, Maryam Ghorbani, F Banaei

Bibliographic record

VenueArmaghane Danesh · 2023
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMedical educationGerontologyFamily medicine

Abstract

fetched live from OpenAlex

Background & aim: Colonoscopy is the main method of colon examination.Acceptable bowel preparation plays an effective role in examining the bowel.Diagnosis and treatment of colon polyps or non-bulging lesions such as vascular malformations and serrated polyps depend on the degree of intestinal cleanliness at the time of assessment.On the other hand, insufficient preparation makes the evaluation more difficult, the evaluation is incomplete, increases the time of colonoscopy and the need to repeat the procedure, and this increases the cost.Therefore, the purpose of the present study was to determine and prepare the large intestine for colonoscopy with pidrolox produced in Iran with and without Senagraf syrup in two centers affiliated to Shiraz University of Medical Sciences. Methods:In the present prospective, double-blind descriptive study conducted in 2016 on 273 patients in need of non-emergency colonoscopy referred to Shahid Motahari and Shahid Faqihi clinics of Shiraz, Iran, 227 patients were randomly selected into two drug (111) and control groups.(116) were categorized and studied.The effect of adding Senagraf to pidrolox manufactured in Iran with pidrolox along with placebo on the level of intestinal readiness (based on Ottawa scoring) in eligible patients (20-78 years old) who were willing to enter the study was investigated and compared.Collected data were analyzed using Mann-Whitney, Kruskal-Wallis and Chi-square statistical tests. Results:The average score of intestinal cleanliness in whole and as well by different parts, in the drug group, was lower than the control group, which confirms better preparation (p=0.001).Compared to older people, younger people had cleaner intestines (p=0.001).The level of bowel preparation in female patients was also better than male patients (p=0.001).The travel time from the rectum to the cecum and the return time from the cecum to the rectum were significantly less than the control group (p=0.001).No significant side effects were observed in both groups. Conclusion: Adding senna to Iranian polyethylene glycol (PEG) before colonoscopy increased bowel preparation and reduces colonoscopy time, without causing additional side effects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0310.003

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 head0.044
GPT teacher head0.320
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueArmaghane DaneshSame topicColorectal Cancer Screening and DetectionFrench-language works237,207