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Record W4396885817 · doi:10.1080/00207144.2024.2350460

Can Hypnotherapy Be Considered a Valuable Component in the Management of Inflammatory Bowel Disease? Insights from a Comprehensive Review

2024· review· en· W4396885817 on OpenAlexaff
Konstantinos Mpakogiannis, Fotios S. Fousekis, Aristeidis H. Katsanos, Konstantinos H. Katsanos

Bibliographic record

VenueInternational Journal of Clinical and Experimental Hypnosis · 2024
Typereview
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHypnosisInflammatory bowel diseaseComponent (thermodynamics)DiseaseIntensive care medicinePsychologyPsychotherapistMedicinePathologyAlternative medicine

Abstract

fetched live from OpenAlex

Despite advancements in medication,managing inflammatory bowel disease (IBD) remains challenging, necessitatingalternative control methods. Gut-directed hypnotherapy, known for alleviating irritable bowel syndrome (IBS), is debated as an IBD management method. Anextensive search across PubMed, Cochrane Library, and Clinicaltrials.govuncovered five randomized trials and two case series involving IBD patients undergoing hypnotherapy. A small trial reported statistically significant remission at one year (p = .04), but larger trials, including one with 63 patients, showed no significant gastrointestinal improvements. The first case series noted post-intervention reduction in the mediators of inflammation in rectal mucosal, without long-term monitoring. The second case series observed the absence of flare episodes in 12 of 13 ulcerative colitis patients during follow-up, possibly influenced by the simultaneous use of two drugs alongside hypnotherapy. Psychological outcomes, demonstrated no significant differences between hypnotherapy and control groups. While current literature doesn't decisively support hypnotherapy for managing IBD symptoms, it underscores the importance of further research, including randomized clinical trials, to thoroughly assess its effectiveness in this context.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.877
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.169
GPT teacher head0.451
Teacher spread0.282 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2024
Admission routes1
Has abstractyes

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