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Record W2620347906 · doi:10.14740/jocmr2957w

Gastrointestinal Tract Amyloidosis Presenting With Pneumatosis Intestinalis

2017· article· en· W2620347906 on OpenAlexvenueno aff
Vikram Raghunathan, David W. Louis, Baldeep Wirk

Bibliographic record

VenueJournal of Clinical Medicine Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPneumatosis intestinalisMedicineAmyloidosisPathologyTransthyretinAL amyloidosisGastrointestinal tractMultiple myelomaAmyloid (mycology)GastroenterologyPneumatosis Cystoides IntestinalisInternal medicineImmunoglobulin light chainImmunology

Abstract

fetched live from OpenAlex

Pneumatosis intestinalis is a radiographic finding of gas pockets within the bowel wall. It can be associated with a range of diagnoses, but the most life-threatening causes are mesenteric ischemia, bowel necrosis, and bowel obstruction. Here we present the case of a patient with multiple myeloma who had pneumatosis intestinalis due to gastrointestinal amyloidosis, which is a rare manifestation of systemic amyloid disease. The patient had both transthyretin (ATTR) amyloidosis and acquired apolipoprotein serum amyloid A (AA) amyloidosis that are not usually seen in conjunction with multiple myeloma, which is most commonly associated with light-chain (AL) amyloidosis. This case highlights the importance of considering Congo red staining of bowel biopsies for amyloid deposition in patients undergoing endoscopy for unexplained gastrointestinal tract symptoms and even pneumatosis intestinalis, so as to avoid a delay in diagnosis that is typically seen with amyloidosis. Since each subtype of amyloidosis requires different therapy, amyloid subtyping is crucial, even with co-existing multiple myeloma.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.180
GPT teacher head0.506
Teacher spread0.326 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

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