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Characterization of the Clinical and Phenotypic Features of South Asian Patients with Inflammatory Bowel Disease at an IBD Referral Center in the United States

2018· article· en· W2921357651 on OpenAlexaboutno aff
Vimal Bodiwala, Timothy Marshall, Darren Seril

Bibliographic record

VenueThe American Journal of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUlcerative colitisInflammatory bowel diseaseInternal medicineReferralDemographicsGastroenterologyDiseaseCrohn's diseaseClinical phenotypeFamily historyPhenotypeDemographyFamily medicine

Abstract

fetched live from OpenAlex

Introduction: The prevalence and clinical features of Crohn's disease (CD) and ulcerative colitis (UC) vary amongst different racial and ethnic groups. Patients of South Asian (SA) origin living in a Western industrialized country were reported to have more aggressive disease features than Caucasian patients. Methods: We retrospectively identified all patients with an established or eventual diagnosis of CD or UC who presented initially to our IBD referral center from 2012 to 2016 and had subsequent follow-up. The demographic, clinical and phenotypic characteristics of 31 SA-CD patients and 42 SA-UC patients were compared with those of 245 Caucasian American (CA)-CD patients and 163 CA-UC patients, respectively. SA was defined as a person born in or having two parents born in India, Pakistan or Bangladesh. Demographics considered were those listed in Table 1. Maximal disease extent was analyzed per the Montreal protocol. Continuous and categorical variables were compared using the Mann-Whitney U and Chi-squared tests, respectively. Results: The proportion of patients who were active or former smokers was significantly lower in SA-CD (9.7% vs 35.5%; p = 0.004) and SA-UC patients (9.8% vs 26.4%; p = 0.020) compared to CA-CD and CA-UC patients, respectively (Table 1). SA-CD patients were less likely to have a family history of IBD (9.7% vs 26.9%; p = 0.037) (Table 1) and had fewer CD-related hospitalizations (38.8% vs. 55.5%; p = 0.035) than CA-CD patients (Table 2). SA-UC patients had a higher incidence of Clostridium difficile infection than CA-UC patients (19.0% vs 8.6%; p = 0.050)(Table 3). There were no significant differences between SA and CA patients in regards to disease location, disease phenotype, incidence of extraintestinal manifestations, treatment with biologic therapy, and other parameters of disease progression (Tables 2 and 3). Conclusion: A cohort of SA patients with CD and UC at an IBD referral center in the United States had differing demographic and clinical features compared to CA patients, including a lower rate of current or past smoking. In contrast to past reports, there were no significant differences in disease phenotype between SA and CA patients. Variation of the clinical and phenotypic features of IBD in different racial and ethnic groups may provide insights into the mechanistic contributions of genetics and environment to these diseases.710_A Figure 1. shows the demographic characteristics of South Asian and Caucasian American patients with Inflammatory Bowel Disease.710_B Figure 2. shows the clinical and phenotypic features of South Asian and Caucasian American patients with Crohn's Disease.710_C Figure 3. shows the clinical and phenotypic features of South Asian and Caucasian American patients with ulcerative colitis.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.240
Teacher spread0.233 · 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
Published2018
Admission routes1
Has abstractyes

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