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Record W4386946142 · doi:10.1097/pcr.0000000000000311

Gastric Polyposis Syndromes

2019· article· en· W4386946142 on OpenAlexaffabout
Kenrry Chiu, Lik Hang Lee, Wei Xiong

Bibliographic record

VenueAJSP Review and Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineGastric PolypCowden syndromePeutz–Jeghers syndromeGastroenterologyFamilial adenomatous polyposisInternal medicineHyperplastic PolypHamartomaCancerPTENPathologyStomachColonoscopyColorectal cancer

Abstract

fetched live from OpenAlex

Abstract Most gastric polyps are fundic gland polyps and hyperplastic polyps. Adenomas, inflammatory fibroid polyps, and neuroendocrine tumors are other types of gastric polyps that occur less frequently. Rarely, a gastric polyp may be associated with a syndrome, including hereditary cancer syndromes. Some of these syndromes are also associated with an increased risk of gastric cancer. We present a case of a 50-year-old woman with known Cowden syndrome who presents with multiple gastric hamartomatous polyps. We then review the clinical, endoscopic, and pathologic features of various syndromes that are associated with gastric polyps. Fundic gland polyp–predominant syndromes include familial adenomatous polyposis, gastric adenocarcinoma and proximal polyposis of the stomach, and MUTYH -associated polyposis, all of which are hereditary cancer syndromes. Gastric hamartomatous polyps are found in patients with juvenile polyposis syndrome, Peutz-Jeghers syndrome, PTEN hamartoma tumor syndrome including Cowden syndrome, and Cronkhite-Canada syndrome. Syndromic gastric polyps may be biopsied in patients with a previously established diagnosis of the underlying syndrome, such as surveillance endoscopies in familial adenomatous polyposis. On other occasions, the pathologic assessment of gastric polyps may prompt or contribute to a diagnostic workup of an underlying syndrome in conjunction with other clinical and endoscopic findings.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.618
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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.

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
Published2019
Admission routes2
Has abstractyes

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