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Record W4322211686 · doi:10.7759/cureus.35470

Bilateral Cellulitis Presented As Lower-Extremity Pain Reported in a Chiropractic Clinic: A Case Report

2023· article· en· W4322211686 on OpenAlexaff
Eric Chun‐Pu Chu, Colin Ritchie Lai, Kevin S. Huang, Andy Fu Chieh Lin

Bibliographic record

VenueCureus · 2023
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsCanadian Chiropractic Association
Fundersnot available
KeywordsMedicineCellulitisChiropracticReferralMagnetic resonance imagingAnklePresentation (obstetrics)Physical therapySurgeryRadiologyAlternative medicinePathology

Abstract

fetched live from OpenAlex

Bilateral lower-extremity cellulitis is a rare but serious condition that can lead to long-term health complications if left untreated. Herein, we report a case of a 71-year-old obese male with a two-month history of lower-extremity pain and ankle swelling. Magnetic resonance imaging (MRI) revealed the presence of bilateral lower-extremity cellulitis, which was confirmed through blood culture by the patient's family doctor. The patient's initial presentation of musculoskeletal pain, limited mobility, and other features coupled with MRI findings served as indications for timely referral to the patient's family doctor for further evaluation and management. Chiropractors should be aware of the warning signs of infection and the importance of advanced imaging for diagnosing such cases. Early detection and prompt referral to a family doctor for care can help prevent long-term health complications associated with lower-extremity cellulitis.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.385
Teacher spread0.311 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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