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Record W4408046911 · doi:10.1016/j.ijid.2024.107520

Choice of treatment tactics in patients with acute diarrhea of bacterial etiology at high risk of irritable bowel syndrome

2025· article· en· W4408046911 on OpenAlexaboutno aff
Mrs Roza Tlyustangelova, Mrs Natalia Pshenichnaya, Mrs Irina Lisinfeld, Mariya V. Melnik

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2025
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacological Effects of Natural Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsIrritable bowel syndromeEtiologyDiarrheaMedicineGastroenterologyInternal medicineAcute diarrheaIntensive care medicine

Abstract

fetched live from OpenAlex

there is a lack of published evidence on the determinants of uptake of the vaccine.We sought to assess the association between SIV uptake and certain population and primary care physician (PCP) characteristics in Manitoba.Methods: We conducted a longitudinal study utilizing data from several linked anonymized Manitoba Health and Seniors Care (MH) administrative health databases.The study period was from September 01, 20 0 0, to March 31, 2020.This study received the necessary approvals from the University of Manitoba Health Research Ethics Board (HS21763 (H2018:170)) and the Health Information Privacy Committee of MH (HIPC No. 2018/2019-04).We summarized SIV uptake from 20 0 0/01-2019/20 influenza seasons across subpopulations defined by socioeconomic, health-related and PCP characteristics.Utilizing multivariable generalized estimating equation logistic regression models, we assessed the association between SIV uptake and the socioeconomic, health-related and PCP characteristics, stratified by age group ( < 5-, 5-17-, 18-44-, 45-64-, 65-year-olds) and sex.Results are adjusted odds ratios with associated 95% confidence intervals.Results: SIV uptake percentage increased over time with 4.4%, 13.1%, 17.5% and 21.7% of < 5-year-olds, 2%, 4.9%, 9.7% and 13.1% of 5-17-year-olds, 5.4%, 8.8%, 10.7% and 13.5% of 18-44-year-olds, 16.8%, 21.3%, 23.6% and 24.6% of 45-64-year-olds receiving the SIV in 20 0 0-20 04, 20 05-20 09, 2010-2014 and 2015-2019, respectively.There was a decline among 65-year-olds from 58.5% to 53.5%.We observed a similar pattern across subpopulations.There was significantly increased odds of SIV uptake among females within the age groups 18 years, in higher income quintiles, mostly with increased contact with a PCP/hospitalization within age groups 18 years, among those who had older or female PCPs (the opposite observation among 65-year-olds) and whose PCP administered at least one SIV in prior influenza season.These observations were largely consistent irrespective of sex.Discussion: SIV uptake in Manitoba appears to increase with age, and many socioeconomic, health-related and PCP characteristics appear to be associated with it.While our findings may not be generalizable to the whole of Canada, they provide novel insights for Manitoba and may form the basis for further assessments of the individual and PCP characteristics that may determine SIV uptake especially within important subpopulations.Further, the observed decline in SIV uptake among 65-year-olds require public health attention and further investigations.Conclusion: Our findings may help inform targeted vaccination programs and public health education to optimize seasonal influenza vaccination in Manitoba and similar Canadian jurisdictions.

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 score0.008
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.018
GPT teacher head0.372
Teacher spread0.355 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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