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Record W1966969054 · doi:10.1159/000188232

Severe Skin Necrosis Associated with Heparin in Hemodialysis

2008· article· en· W1966969054 on OpenAlexaff
Martine Leblanc, Louise Roy, Louis Legault, Louis R. Dufresne, Claude Morin, C Thuot

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsUniversité de MontréalHôpital Saint-Luc
Fundersnot available
KeywordsMedicineHeparinHemodialysisComplicationSurgeryAcute tubular necrosisNecrosisHeparin-induced thrombocytopeniaPlateletAnticoagulantInternal medicineGastroenterologyKidney

Abstract

fetched live from OpenAlex

Skin necrosis is a well-recognized although rare complication of continuous heparin therapy. We report the case of a 66-year-old diabetic woman with end-stage renal failure who received intermittent intravenous heparin during hemodialysis. She developed severe necrotic cutaneous ulcers over both legs, with typical histological findings. Thrombocytopenia never occurred but platelet studies demonstrated enhanced aggregation when heparin was added in vitro. Platelet-aggregating immunoglobulins produced in response to heparin can lead to thrombotic events. Thrombocytopenia usually develops prior to the onset of cutaneous lesions, but as in this case, may be absent. Heparin should be discontinued when the condition is recognized. Unfortunately, a poor outcome is frequently observed.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.049
GPT teacher head0.293
Teacher spread0.245 · 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

Citations20
Published2008
Admission routes1
Has abstractyes

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Same venue˜The œNephron journals/Nephron journalsSame topicHeparin-Induced Thrombocytopenia and ThrombosisFrench-language works237,207