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Argon Plasma Coagulation of Hemorrhagic Solitary Rectal Ulcer Syndrome

2003· article· en· W2044944282 on OpenAlexaff
V. Stoppino, Rosario Cuomo, Paolo Tonti, Marco Gentile, Vincenzo De Francesco, Nicola Muscatiello, C. Pañella, Enzo Ierardi

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2003
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsEmera (Canada)
Fundersnot available
KeywordsMedicineHematocheziaArgon plasma coagulationAnemiaSurgeryGastrointestinal bleedingEndoscopyColonoscopyInternal medicineGastroenterologyColorectal cancer

Abstract

fetched live from OpenAlex

Solitary ulcer syndrome (SUS) is a rare disorder that may provoke hematochezia. Argon plasma coagulation (APC) is used in a wide range of gastrointestinal bleeding. We experienced APC in a patient with a bleeding gigantic SUS: a 64-year-old woman who developed a SUS at 60. After 3 years, recurrent hematochezia, secondary anemia, and rectal pain occurred. Endoscopy revealed a large rectal bleeding ulcer. Moreover, the pain led the patient to assume analgesics. These conditions stimulated us to treat this ulcer with APC within 4 sessions; each session spaced out at 30-day intervals. The patient experienced and maintained the following benefits: (1) resolution of bleeding and secondary anemia after the first session, (2) reduction of ulcer depth, disappearance of pain and analgesic withdrawal at the end of the cycle, (3) almost complete endoscopic healing of the ulcer after 9 months of follow-up. This experience suggests that APC may represent a therapeutic approach for bleeding SUS even if controlled studies are necessary before recommending it as acceptable treatment.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.051
GPT teacher head0.362
Teacher spread0.311 · 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 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

Citations23
Published2003
Admission routes1
Has abstractyes

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