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Record W1966468420 · doi:10.2310/7750.2014.14081

Skin Necrosis from Intra-articular Hyaluronic Acid Injection

2015· article· en· W1966468420 on OpenAlexaff
Whan B. Kim, Raed Alhusayen

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineOsteoarthritisComplicationNecrosisHyaluronic acidSurgeryIntra articularAdverse effectPathologyInternal medicineAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Tissue necrosis is a rare yet potentially serious complication of intra-articular (IA) hyaluronic acid (HA) injections for treatment of knee osteoarthritis. OBJECTIVE: To report a case of a patient with cutaneous necrosis after IA HA injection for treatment of knee osteoarthritis, presenting as a livedoid violaceous patch on the right knee. METHOD: We report a case of cutaneous necrosis as a rare complication of IA HA injection for treatment of knee osteoarthritis. A literature review was undertaken of similar cases. RESULTS: Use of HA IA injections in the treatment of osteoarthritis can result in similar skin necrosis at uncommon anatomic locations corresponding to the site of HA injection. CONCLUSION: Although tissue necrosis is a rare complication, physicians need to be aware of this possibility as a complication of HA IA injections in the treatment of osteoarthritis and should be mindful of potential treatment options to manage this adverse event.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.028
GPT teacher head0.257
Teacher spread0.229 · 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

Citations23
Published2015
Admission routes1
Has abstractyes

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