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Record W4391873337 · doi:10.1093/jcag/gwad061.235

A235 INFLAMMATORY BOWEL DISEASE AND PREECLAMPSIA: A PHYSICIAN SURVEY

2024· article· en· W4391873337 on OpenAlexaffabout
Youstina Hanna, Parul Tandon, Vivian Huang

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsInflammatory bowel diseasePreeclampsiaMedicineDiseaseInflammatory Bowel DiseasesGastroenterologyIntensive care medicineInternal medicinePregnancyBiology

Abstract

fetched live from OpenAlex

Abstract Background Preeclampsia is a disorder of pregnancy recognized as the second cause of maternal mortality worldwide. The association between IBD and preeclampsia remains unclear, but the significant comorbid profile, and lack of treatment aside from urgent delivery, make primary prevention a priority. Aspirin was shown to halve preeclampsia rates and is recommended for primary prevention for women at risk. Despite high-quality evidence supporting Aspirin use and its well tolerated side effect profile, studies in non-IBD patients have demonstrated a knowledge-to-practice gap. Aims While there are no studies reported in women with IBD, prescribing rates may be even lower in this population, given that it may be incorrectly perceived to increase the risk of an IBD flare. Understanding physician perceptions could allow for a targeted educational approach to increase patient and physician awareness of the indications for Aspirin prophylaxis and its safety profile. Methods This is a cross-sectional survey study assessing physician perceptions and Aspirin prescribing patterns for preeclampsia prevention conducted from Mount Sinai Hospital. Demographic information, information on perceptions of preeclampsia risk in pregnant women with IBD, and on the perceived clinical benefit and risk of Aspirin prescribing were collected. Results A total of 38 Canadian healthcare professionals (HCPs) (15 Gastroenterologists, 14 Obstetricians, 5 General Practitioners, 2 General Internists, 1 nurse practitioner, and 1 midwife) were surveyed. Most HCPs were practicing for over 10 years (71%). In total, 68% of HCPs were comfortable with pregnancy-specific management of IBD. Most HCPs correctly identified all comorbidities associated with a high risk of preeclampsia including a history of preeclampsia (95%), renal disease (87%), and autoimmune disease (68%). A total of 55% of HCPs believed that pregnant patients with IBD were at increased risk of placental related diseases, and 56% agreed that these patients were at increased risk of preeclampsia specifically. Thirty-five percent of HCPs believed that IBD in remission, in the absence of other risk factors, was an indication for Aspirin prophylaxis. More so, 45% believed that IBD, with poor disease control, was an indication. Only 8% of HCPs believed that Aspirin, when used for preeclampsia prevention, was associated with an IBD flare. In patients whom Aspirin prophylaxis was indicated, 77% agreed with its use, even in patients in whom disease control was poor. Finally, 63% agreed that the Aspirin dose should be 162 mg daily, and more than half (58%) agreed that the prescriber should be the patient’s obstetrician. Conclusions Most HCPs agreed that IBD was a risk factor for preeclampsia and that Aspirin prophylaxis was effective and safe for primary prevention. High quality studies are needed to evaluate risk of preeclampsia in IBD, especially in patients with active disease. Funding Agencies CAG

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)0.003
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 score0.284
Threshold uncertainty score0.565

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.244
Teacher spread0.235 · 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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

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