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Record W4416717294 · doi:10.1177/1753495x251397321

Impact of pruritus in patients at high risk of significant intrahepatic cholestasis of pregnancy

2025· article· en· W4416717294 on OpenAlexaboutno aff
Catherine Williamson, Jenny Chambers, Caroline Ovadia, George R. Saade, Andrew McKibben, Tiago Nunes, Jolan Terner-Rosenthal, Will Garner, Pamela Vig

Bibliographic record

VenueObstetric Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsPregnancyCholestasis of pregnancyHigh risk pregnancyCholestasisClinical trial

Abstract

fetched live from OpenAlex

Background: Pruritus is a common symptom of intrahepatic cholestasis of pregnancy (ICP) and significantly reduces patients' quality of life (QoL). Methods: A multinational survey administered through ICP patient support groups was conducted in women with current or previous ICP. Results: In total, 697 women from the UK, USA, Australia, Canada, New Zealand, and Ireland responded to the survey. 94% had ICP in a previous pregnancy. The median worst itch score (0-10) was 9. Pruritus severity was associated with a higher degree of sleep disturbance, fatigue, and mood changes. 59% reported that pruritus led to disruption of daily activities. 33% reported missing school or work. Most patients were taking ≥2 antipruritic medications and achieved only partial resolution of pruritus. Conclusion: The results underscore the negative impact of pruritus on QoL in patients with ICP and substantiate the high unmet need for developing safe and effective antipruritic therapies in ICP. Trial Registration: Trial registration is not applicable because this was not an interventional study.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.028
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.257
Teacher spread0.250 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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