MétaCan
Menu
← Back to cohort
Record W4318619157 · doi:10.7759/cureus.34438

Vasculitis Leading to Gangrene: An Early Presentation in a Rheumatoid Arthritis Patient

2023· article· en· W4318619157 on OpenAlexaff
Abhishek Vadher, Karthik Yeruva, Chitralekha Vora, Karthik Gangu, Swati Baraiya

Bibliographic record

VenueCureus · 2023
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsHumber River Regional Hospital
Fundersnot available
KeywordsMedicineGangreneVasculitisRheumatoid arthritisDermatologyHydroxychloroquineSurgeryCyclophosphamideInternal medicineDiseaseChemotherapyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Vasculitis is a late complication in rheumatoid arthritis (RA) and is seen in RA patients with long-standing disease. Rheumatoid vasculitis affects small-to-medium-sized vessels. In a few patients, vasculitis develops early in the course of the disease. Here, we report the case of a 32-year-old female who presented with gangrene in the second and third digits of the right foot and gangrene in the second digit of the left foot. She was on hydroxychloroquine and methotrexate for one year since the diagnosis of RA. The patient then developed Raynaud's phenomenon and blackish discoloration of toes. She was started on pulse methylprednisolone, aspirin, nifedipine, and pentoxifylline. As no improvement was seen, intravenous cyclophosphamide was started. There was no improvement even after starting cyclophosphamide, and the gangrene further worsened. Eventually, after consulting the surgical team, it was decided to amputate the digits. The second digits in both feet were subsequently amputated. Hence, a physician should always be careful in checking for signs of vasculitis in RA patients early in the course of the disease as well.

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)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
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 head0.024
GPT teacher head0.309
Teacher spread0.285 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCureus→Same topicRheumatoid Arthritis Research and Therapies→French-language works237,207→