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Record W4233822257 · doi:10.14740/jmc1896w

Acute Pancreatitis: First and Sole Manifestation of Small Cell Carcinoma of Lung

2014· article· en· W4233822257 on OpenAlexvenueno aff
Muhammad Ali Khan, Faraz Khan Luni, Sehrish Kamal, Yaseen Alastal, Abdullah Alwardia, Jacob Bieszczad, Luis E. De Las Casas, Youngsook Yoon

Bibliographic record

VenueJournal of Medical Cases · 2014
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcute pancreatitisAbdominal painLungPancreatitisPresentation (obstetrics)Small-cell carcinomaJaundiceCarcinomaSmall Cell Lung CarcinomaMetastasisDiseaseGastroenterologyPathologyInternal medicineRadiologyCancer

Abstract

fetched live from OpenAlex

Small cell carcinoma of the lung is an aggressive disease that tends to metastasize early in its course and has a poor prognosis. Pancreatic metastasis generally constitutes a late manifestation of this disease and most patients do not have organ specific symptoms (jaundice, abdominal pain and weight loss), and it is incidentally discovered on imaging studies. However, acute pancreatitis as the initial presentation of small cell carcinoma of lung is extremely rare. We came across a 71-year-old female who was admitted to the hospital for abdominal pain secondary to acute pancreatitis. Further workup revealed metastatic small cell carcinoma of lung. In English literature we found 11 other cases of small cell carcinoma of lung which had acute pancreatitis as their sole presentation. Therefore, it should be kept in mind as a very rare cause of acute pancreatitis in the right setting. J Med Cases. 2014;5(10):525-528 doi: http://dx.doi.org/10.14740/jmc1896w

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)0.003
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.019
GPT teacher head0.309
Teacher spread0.290 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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Same venueJournal of Medical CasesSame topicNeuroendocrine Tumor Research AdvancesFrench-language works237,207