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Record W1940772792 · doi:10.1111/hdi.12115

Role of sodium thiosulfate therapy in the treatment of digital necrosis due to <scp>M</scp>önckeberg sclerosis

2013· article· en· W1940772792 on OpenAlexvenueno aff
Michael Brucculeri, Eugenia Rullan, Antonela Zanchi, A. Marcotte

Bibliographic record

VenueHemodialysis International · 2013
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusSurgeryHyperphosphatemiaHemodialysisComplicationHistopathologyIschemiaCritical limb ischemiaKidney diseaseInternal medicineVascular diseasePathologyEndocrinology

Abstract

fetched live from OpenAlex

Accelerated vascular calcification is a well-described complication of chronic kidney disease often affecting large and small vessels alike through a variety of mechanisms. Accordingly, dysregulation of calcium and phosphate balance, vitamin D metabolism, hyperparathyroidism, and endothelial injury can lead to both macrovascular and microvascular complications. We describe a 56-year-old Hispanic male with a history of end-stage renal disease, diabetes mellitus type 2, and medical noncompliance who developed sequential digital ischemia and necrosis involving both hands as well as right foot as a result of Mönckeberg sclerosis. An extensive metabolic and serologic workup was unrevealing but radiographic studies and histopathology revealed the diagnosis. A multifaceted approach was instituted including wound debridement and amputations along with intensive medical support. In addition to improving hypertensive control and striving for improved calcium and phosphate balance, sodium thiosulfate solution was administered for more than 1 year. This aggressive approach allowed his wounds to heal and has arrested further digital ischemia from occurring.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.249
Teacher spread0.227 · 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 designObservational
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

Citations1
Published2013
Admission routes1
Has abstractyes

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