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Record W2945140276

Životne navike i okolišni čimbenici rizika kod oboljelih od Crohnove bolesti i ulceroznog kolitisa

2019· dissertation· hr· W2945140276 on OpenAlexaboutno aff
Dubravka Holik

Bibliographic record

Venuenot available
Typedissertation
Languagehr
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUlcerative colitisInternal medicineMarital statusAnthropometrySignificant differenceDiseaseInflammatory bowel diseaseFamily historyEnvironmental healthPopulation
DOInot available

Abstract

fetched live from OpenAlex

Objectives: To determine sociodemographic features, characteristics of family and personal history, anthropometric measures, treatment protocole, phenotype and activity of inflammatory bowel disease (UBC) in participans, as well as to evaluate the impact of different lifestyle habits and environmental risk factors on Crohn's disease (CD) course and ulcerative colitis (UC) regardless of the prescribed therapy. Study design: Cross-sectional study with elements of ecological research conducted from 1 January to 30 June 2016. Participans and Methods: The study included 312 disease-affected patients, in the area of Eastern Croatia, 114 (36.60 %) patients with CD and 198 (63.40 %) patients with UC, average age 49.90 ± 15.00 years, 52.88 % of men and 47.12 % of women. The data were collected by the questionnaire and the analysis of the water safety, based on 65 samples of drinking water from the field of research. Results: Regarding demographic characteristics, there was a significant difference in age (p=0.013) and marital status (p=0.037) in relation to the type of disease. Significant difference (p=0.009) was observed in the patients’age at the time when the patients were diagnosed, and a significant difference between CD and UC compared to the presence of other diseases (p=0.037). The phenotype analysis according to the Montreal classification, the most common type UC was E2, while in patients with CD prevalent phenotype was A2L2B1. The most prescribed therapy was aminosalicylates, far more in the treatment of UC (p<00.1). There was a significant difference in meat consumption before and after the diagnosis of UBC (p<0.001). Exposure to chronic exogenous stress during the Homeland War has significantly influenced the UBC type (p<0.001) Inactive disease was reported in 66.00 % of patients with CB and at 60.00 % of patients with UC. There were significant differences in the type of therapy (p=0.016) and in the daily physical activity (p<0.001) regarding UBC course. No therapy had 24.04 % patients, 6.09 % of CD and 17.95 % of UC patients. Daily physical activity had a significant effect on CD course (p<0.001) and UC course (p=0.004) in patients without therapy. Significant difference in CD course was observed in therapy free patients who were exposed to exogenous chronic stress during the Homeland War (p=0.041). Conclusion: Observing each disease separately, the study confirmed the significant impact of lifestyle habits and environmental factors on CB and UC course in the patients, independing on the prescribed therapy. It needs to be pointed out that the patients’daily physical activity highly impacts the course of the observed UBC. This research forms the basis for the population register of UBC in Eastern Croatia.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.007
GPT teacher head0.253
Teacher spread0.246 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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