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Record W2790748088 · doi:10.1093/jcag/gwy009.263

A263 MALIGNANT MELANOMA OF UNKNOWN PRIMARY WITH GASTRIC AND DUODENAL METASTASES: A CASE REPORT

2018· article· en· W2790748088 on OpenAlexaff
O. Gerami, Neal Shahidi, Michael F. Byrne

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCurvatures of the stomachMelanomaAnemiaBiopsyLymph nodeEsophagogastroduodenoscopyAbdominal painDuodenumColonoscopyLymphAxillary lymph nodesRadiologyStomachInternal medicineGastroenterologySurgeryMetastasisPathologyEndoscopyCancerColorectal cancer

Abstract

fetched live from OpenAlex

This abstract presents a case of malignant melanoma of unknown with primary biopsy-proven gastric & duodenal metastases. Retrospective chart review report. This case report presents a 65-year-old male with a distant history of melanoma of the upper abdominal cutaneous surface. He underwent a successful wide-margin excision & a right sentinel axillary lymph node, which showed a 4mm focus. A follow-up right axillary lymph node dissection removed 5 melanoma-negative lymph nodes. Given these results, he was discharged by his oncologist and continued to have ongoing cutaneous surveillance by a dermatologist. The patient then presented with progressive fatigue, pre-syncope, dyspnea and was found to have a normocytic anemia with a Hgb of 75 g/L. His last Hgb was measured at 151 g/L three months prior on routine bloodwork. All of this occurred in the absence of any overt G.I. bleeding, abdominal pain or any other G.I. symptom, nor was there evidence of any cutaneous recurrence of his melanoma. Furthermore, the patient had a normal EGD and colonoscopy 9 months and 3 years prior, respectively. Gastroenterology was consulted for endoscopic evaluation of a possible G.I. source for his anemia. EGD showed multiple dark, flat 1mm lesions along the greater curvature of the stomach, which were biopsied, and multiple similar lesions found in the D1 & D2 segments of his duodenum (figure 1). Biopsy results were positive for metastatic malignant melanoma. Subsequent PET scan identified multiple metastases in the liver (the largest measuring 4.7cm) and diffuse uptake in the skeletal marrow suggesting malignant marrow infiltration. Bone marrow biopsy confirmed this with metastatic melanoma accounting for 70% of bone marrow cellularity. Oncology referral was made for chemotherapy initiation. Malignant melanoma is a rare tumor accounting for 1–3% of all tumors. It has been observed to have GIT (GI tract) metastases in up to 50–60% of cases. However, due to being largely asymptomatic, GIT metastases are mainly diagnosed post-mortem on autopsy. Only 1–5% of all cases are diagnosed in the ante-mortem period. Furthermore, when GIT metastases are present there are often metastases to other visceral organs, and the median survival time for patients with GIT metastases is less than 1 year. Collectively, this case highlights the potential utility for interval endoscopic surveillance in patients with a history of treated cutaneous melanoma and absence of identifiable cutaneous recurrence. Recent evidence has shown that endoscopic evaluation and diagnoses is more reliable than traditional radiographic identification of gastric metastases. Moreover, endoscopic evaluation allows for direct visualization of the gastric mucosa, direct biopsy of any identified lesions to obtain a pathologic diagnosis, and assessment of response to chemotherapy. None

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)0.001
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.215
Teacher spread0.208 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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