MétaCan
Menu
Back to cohort
Record W2795908486 · doi:10.1111/hdi.12657

An unusual cause of gastrointestinal bleeding in a hemodialysis patient

2018· article· en· W2795908486 on OpenAlexvenueno aff
J. Aron, A. Couturier, L. Sinayoko, Viviane Duédal, Christophe Ridel, Maxime Touzot

Bibliographic record

VenueHemodialysis International · 2018
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMelenaHemodialysisGastrointestinal bleedingCapsule endoscopyAnemiaIron-deficiency anemiaSurgeryColonoscopyGastrointestinal tractGastroenterologyInternal medicineCancer

Abstract

fetched live from OpenAlex

Iron deficiency caused by gastrointestinal (GI) bleeding is a common cause of anemia in hemodialysis patient. Herein, we report the case of an 89-year-old hemodialysis patient who presented with acute anemia and melena. Endoscopy found gastritis and diverticulosis without active bleeding. A capsule endoscopy (CE) was then performed and revealed multiple vascular lesions that lead to the diagnosis of Blue Rubber Bleb Nevus syndrome (BRBNS). This rare disease is associated with multiple venous malformations in the skin and the GI tract, usually observed in children. The patient developed 4 months latter 2 skin lesions compatible with BRBNS. Treatment included blood transfusion and intravenous iron supplementation. We reported an unusual presentation of venous malformation BRBS which differs from angioectasia, in an adult hemodialysis patient. Overall prognosis is good.

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 score0.007

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueHemodialysis InternationalSame topicVascular Malformations and HemangiomasFrench-language works237,207