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Record W4224981777 · doi:10.7759/cureus.23425

Incidental Diagnosis of Pseudomyxoma Peritonei: A Case Report

2022· article· en· W4224981777 on OpenAlexaff
Giuseppe Sarpietro, Marco Iraci Sareri, Giulia Bonanno, Maria Grazia Matarazzo, Antonio Cianci

Bibliographic record

VenueCureus · 2022
Typearticle
Languageen
FieldMedicine
TopicIntraperitoneal and Appendiceal Malignancies
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMedicinePseudomyxoma peritoneiAppendixAscitesAbdomenPeritoneal mesotheliomaPouchSurgeryPelvisMucinous TumorRadiologyPeritoneal cavityLaparoscopyMesotheliomaPathologyInternal medicine

Abstract

fetched live from OpenAlex

Pseudomyxoma peritonei (PMP) is a rare clinical condition characterized by disseminating gelatinous ascites within the peritoneal cavity with mucinous implants on peritoneal surfaces. We present the case of a patient incidentally diagnosed after laparoscopy: definitive diagnosis after the histological examination was PMP. A 37-year-old female patient with a medical history of infertility and mild pelvic pain was found to have several collections in the pelvis and an amount of free fluid into the Douglas pouch at ultrasound examination. The patient underwent laparoscopic surgical exploration. Peritoneal biopsies and appendectomy were performed. Histological examination was about a low-grade appendiceal mucinous tumor limited to the mucosa without submucosal infiltration with perforation of the wall and deposit of periappendicular acellular mucin. The patient was discharged in good health and referred to an oncological peritoneal center where cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) were performed. In conclusion, PMP is an uncommon disease within the abdomen, characterized by a mucinous tumor that produces progressive mucinous ascites. It is characterized by various non-specific symptoms and signs and difficult imaging diagnoses. Histological diagnosis is a determinant to establish the therapy that can differ significantly, depending on the stage of the disease.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.999

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)0.0020.000

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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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 designCase report
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

Citations7
Published2022
Admission routes1
Has abstractyes

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