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Record W2091090762 · doi:10.1097/mcg.0b013e31815bd749

Irritable Bowel Syndrome Subtypes Defined by Rome II and Rome III Criteria are Similar

2009· article· en· W2091090762 on OpenAlexaff
Spencer D. Dorn, Carolyn Morris, Yuming Hu, Brenda B. Toner, Nicholas E. Diamant, William E. Whitehead, Shrikant I. Bangdiwala, Douglas A. Drossman

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2009
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsMedicineIrritable bowel syndromeGastroenterologyInternal medicineGeneral surgery

Abstract

fetched live from OpenAlex

BACKGROUND: The implications of the Rome III recommendations to change the irritable bowel syndrome (IBS) subtype criteria for stool pattern are unknown. AIM: (1) Determine the level of agreement between Rome II and Rome III subtypes and (2) compare the behaviors of Rome II and Rome III subtypes over time. METHODS: Female patients (n=148) with Rome II defined IBS were prospectively tracked over 5 consecutive 3-month periods. At baseline, bowel habit reports on questionnaires were used to subclassify patients into Rome II and Rome III subtypes. Over the subsequent 15 months, bowel habit reports on diary cards were used to subclassify patients based on previously derived surrogate criteria into Rome II and Rome III IBS subtypes. RESULTS: The level of agreement between Rome II and Rome III subtype assignments was quite high (86.5%; kappa 0.79). The behavior of Rome II and Rome III subtypes over time was also similar in terms of subtype prevalence, subtype stability, and the proportion of subjects who met criteria for alternating irritable bowel syndrome. CONCLUSIONS: Rome II and Rome III IBS subtypes are in high agreement and behave similarly over time. Therefore, studies that used Rome II subtype criteria and studies that will use Rome III criteria will define comparable populations.

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)0.002
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 score0.026
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.028
GPT teacher head0.332
Teacher spread0.304 · 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

Citations68
Published2009
Admission routes1
Has abstractyes

Explore more

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