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Record W2921529208 · doi:10.1093/jcag/gwz006.263

A264 CLINICAL, ENDOSCOPIC, AND HISTOPATHOLOGIC FEATURES OF GASTROINTESTINAL DISEASE IN COMMON VARIABLE IMMUNODEFICIENCY.

2019· article· en· W2921529208 on OpenAlexaff
Rabia Khan, Zuheir Habbal, Abbas Ali Bukhari, Amir Rumman, Michael A. Scaffidi, Sarah S. Al Ghamdi, Stephen Betschel, Samir C. Grover

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicDiverticular Disease and Complications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCommon variable immunodeficiencyMedicineInternal medicineGastroenterologyNauseaAbdominal painVomitingDiseaseImmunologyAntibody

Abstract

fetched live from OpenAlex

Patients with common variable immunodeficiency (CVID) disorder are reported to have a significant burden of infectious and inflammatory gastrointestinal (GI) diseases. Currently, the clinical, endoscopic, and histopathologic characteristics of GI disease among CVID patients is not well described. This study aims to characterize the clinical, endoscopic, and histopathologic profile of GI pathology in a large cohort of CVID patients from a tertiary care centre. We included all CVID patients at St. Michael’s Hospital from January 1, 2000 to May 31, 2018. For each patient, we collected the age of CVID diagnosis, and age of onset of gastrointestinal symptoms. We collected the following clinical data at the time of onset of gastrointestinal symptoms: presence of abdominal pain, bowel movement changes, weight loss, nausea/vomiting, and bloating, history of gastrointestinal disease such as IBD or coeliac disease, treatments offered for GI symptoms, and gastrointestinal infections. We also collected endoscopic, histopathologic, and laboratory data, including immunoglobulin trough levels, at the date nearest to the onset of gastrointestinal symptoms, within three months. We used descriptive statistics to characterize patients with CVID, and compared patients with and without gastrointestinal symptoms using non-parametric tests for continuous variables and Fisher’s exact test for categorical variables. We included 95 patients with CVID. The mean age of patients at the time of CVID diagnosis was 38.2(±16.0). Fifty-three (56%) patients were female. Sixty-four (67%) patients had GI symptoms, with a mean age of onset for GI symptoms of 43.4(±15.1) years. The most common symptoms were bowel movement changes (n=55 [58%]) and abdominal pain (n=44 [46%]). Patients with GI symptoms were more likely to have anaemia (n=23 [36%] vs. n=3 [10%], p<0.05), iron deficiency (n=16 [25%] vs. n=2 [7%], p<0.05), and have received antibiotics for presumed GI infection (n=37 [58%] vs. n=0, p<0.05) and proton pump inhibitors for reflux (n=24 [38%] vs. n=3 [10%], p<0.05). The most common GI infections were Giardia lamblia (n=14 [15%]) and Clostridium difficile (n=4 [4%]). Forty-three (45%) patients with GI symptoms underwent colonoscopy, EGD, or both. The most common findings were inflammation, nodular lymphoid hyperplasia, reduced plasma cells, and increased intraepithelial lymphocytes. This is the largest study on CVID patients in a North American setting. The majority of patients experienced GI symptoms. Future studies should study response to treatment for gastrointestinal disease among patients with CVID. Ferring Scholarship Grant Award

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)0.001
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.255
Teacher spread0.245 · 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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Citations0
Published2019
Admission routes1
Has abstractyes

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