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CLINICAL AND PSYCHOEMOTIONAL PROFILE OF INFLAMMATORY BOWEL DISEASE PATIENTS IN RUSSIA

2025· article· en· W4414799110 on OpenAlexaboutno aff
Dina A. Akhmedzyanova, Yuriy А. Vasilev, Anton V. Vladzymyrskyy, Marina G. Mnatsakanyan, Yuliya F. Shumskaya, Roman V. Reshetnikov

Bibliographic record

VenueSocial Aspects of Population Health · 2025
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsnot available
Fundersnot available
KeywordsInflammatory bowel diseaseUlcerative colitisPsychosocialQuality of life (healthcare)AnxietyDiseaseCohortIrritable bowel syndrome

Abstract

fetched live from OpenAlex

Significance. Inflammatory bowel diseases are chronic, relapsing conditions requiring continuous management by a multidisciplinary team. In 2021, the Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE II) consensus emphasized that therapeutic endpoints in inflammatory bowel diseases should encompass not only disease remission but also improvements in patient-reported outcomes, specifically quality of life and psychological well-being. Previous investigations in Russia have consistently demonstrated a compromised quality of life and psychological distress in individuals with inflammatory bowel diseases. This underscores the need to explore the relationship between these factors and to identify potential targets for therapeutic interventions. Purpose. To evaluate the interplay between psychosocial characteristics, disease activity, and their associations in inflammatory bowel disease patients to identify potential targets for interventions, including telemedicine. Material and methods. A cross-sectional, observational study was conducted among patients with inflammatory bowel diseases. The following questionnaires were used to assess the parameters: the Harvey-Bradshaw Index, the Simple Clinical Colitis Activity Index, the World Health Organization Quality of Life questionnaire, the Short Inflammatory Bowel Disease Questionnaire, the Hospital Anxiety and Depression Scale, the Visceral Sensitivity Index, and the Toronto Alexithymia Scale. Results. The study sample comprised 102 participants (52 with ulcerative colitis and 50 with Crohn’s disease), with a median age of 34 years. Half of the cohort was in clinical remission. The analysis revealed that 43.8% of the inflammatory bowel disease patients had suboptimal quality of life, 92.8% had high scores on the visceral sensitivity index, and 49.7% showed signs of anxiety and depression. Furthermore, 34% of the patients in remission showed signs of anxiety and depression. The visceral sensitivity index showed a significant moderate correlation with depression and anxiety (Spearman’s ρ 0.58 and 0.63, respectively, p-value < 0.05). Anxiety and depression scores also showed a moderate positive correlation with each other (Spearman’s ρ 0.64, p-value < 0.05). A significant, moderate negative correlation was observed between health-related quality of life and the visceral sensitivity index (Spearman’s ρ -0.67, p-value < 0.05), depression scores (Spearman’s ρ -0.53, p-value < 0.05), and anxiety scores (Spearman’s ρ -0.61, p-value < 0.05). Moreover, the quality of life was associated not so much with the disease activity, but rather with the presence of anxiety, depression, and increased visceral sensitivity. Conclusion. Patients with inflammatory bowel diseases need to have their psycho-emotional wellbeing and visceral hypersensitivity addressed. This can be a starting point for various interventions, including the use of telemedicine technology. Keywords: Inflammatory bowel disease; Ulcerative colitis; Crohn’s disease; anxiety and depression; clinical activity; telemonitoring.

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)0.000
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.385
Teacher spread0.367 · 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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Citations1
Published2025
Admission routes1
Has abstractyes

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