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Record W1999424343 · doi:10.2310/7750.2014.14109

Paradoxical, Cupping-Induced Localized Psoriasis: A Koebner Phenomenon

2015· article· en· W1999424343 on OpenAlexaff
Reid Vender

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicSkin Diseases and Diabetes
Canadian institutionsDermatrials Research
Fundersnot available
KeywordsMedicinePsoriasisDermatologyCupping therapyBiopsyHistopathologyLesionSurgeryAcupuncturePathologyAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Cupping therapy is a traditional Chinese medicine used to heal psoriasis. The Koebner phenomenon is the occurrence of psoriatic lesions at the site of cutaneous injury. OBJECTIVE: To describe the first case of biopsy-proven cupping-induced localized psoriasis, an example of the Koebner phenomenon. METHODS: The histopathology of the lesions is described. A brief review of the literature regarding cupping therapy and its efficacy are discussed. RESULTS: A 45-year-old Asian male presented himself to the dermatology clinic for further treatment of his psoriasis. Four unusually circular plaques on the lower back were discovered. Pathologic diagnosis revealed an early lesion of psoriasis. on further inquiry, the patient admitted to undergoing a recent "cupping" procedure in an attempt to cure his condition. CONCLUSION: The efficacy of cupping therapy is controversial, and psoriatic patients may develop localized psoriasis through koebnerization as a result of cupping therapy rather than achieve desirable therapeutic benefits.

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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.074
GPT teacher head0.309
Teacher spread0.235 · 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
Published2015
Admission routes1
Has abstractyes

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