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Record W4214568313 · doi:10.14740/gr1480

Polygenic Infantile Juvenile Polyposis Syndrome Managed With Sirolimus and Endoscopic Polypectomy

2022· article· en· W4214568313 on OpenAlexvenueno aff
Lisa Dillon Bell, John Bernat, Riad Rahhal

Bibliographic record

VenueGastroenterology Research · 2022
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSirolimusPolypectomyEnteropathyGastroenterologyDiseaseInternal medicineJuvenileSurgeryColonoscopyColorectal cancerCancer

Abstract

fetched live from OpenAlex

In the following clinical case of infantile juvenile polyposis syndrome (JPS), administration of a pharmacologic agent sirolimus was associated with reduced disease burden without need for bowel resection. The positive impact included improvement in protein-losing enteropathy, decreased intestinal blood loss, and improved weight gain. In addition, the number of polyps resected per unit time and frequency of upper and lower endoscopic evaluation needed dropped after initiation of sirolimus. This case report describes a positive clinical outcome and discusses the use of sirolimus with aggressive polypectomy as a potential treatment for the rare disease entity of polygenic infantile JPS. Through this case, we aim to emphasize that while administration of this drug may mitigate many sequelae of infantile JPS, it does not appear to eliminate the need for aggressive polypectomy.

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)0.000
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 score0.041
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.312
Teacher spread0.285 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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