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Record W3020706846

СООТНОШЕНИЕ ВЫРАЖЕННОСТИ БОЛЕВОГО СИНДРОМА С ПОКАЗАТЕЛЕМ АЛЕКСИТИМИИ У БОЛЬНЫХ ЯЗВЕННЫМ КОЛИТОМ

2017· article· ru· W3020706846 on OpenAlexaboutno aff
Maria Fedosova, Е. И. Кашкина, М. А. Куницына

Bibliographic record

VenueЭкспериментальная и клиническая гастроэнтерология · 2017
Typearticle
Languageru
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacological Effects of Natural Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaUlcerative colitisExacerbationMedicineToronto Alexithymia ScaleInternal medicinePsychiatryDisease
DOInot available

Abstract

fetched live from OpenAlex

Purpose of the study: to investigate the relationship between the index of alexithymia and severity of pain in patients with ulcerative colitis and comparable severity of the next attack. Materials and methods: the study included 59 patients with acute exacerbation of ulcerative colitis who were hospitalized in the gastroenterological department of the Saratov Regional Hospital. On admission to the hospital for all patients was determined the level of alexithymia using the Toronto alexithymia scale (1985), adapted in the Institute named after VM Bekhterev (2005). The severity of the next attack of ulcerative colitis was evaluated according to the criteria of Truelove-Witts (1955). Results: with comparable severity of the next attack of ulcerative colitis patients with high alexithymia significantly more often reported higher levels of pain than at low values one. Conclusion: in the choice of optimal tactics analgesic drug therapy in patients with ulcerative colitis in the period of exacerbation it is necessary to consider psychological characteristics of their personality.

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)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0030.004
Open science0.0130.006
Research integrity0.0070.015
Insufficient payload (model declined to judge)0.0260.017

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 head0.222
GPT teacher head0.523
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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Same venueЭкспериментальная и клиническая гастроэнтерологияSame topicPharmacological Effects of Natural CompoundsFrench-language works237,207