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Looking Beyond the Cell in Cellulitis

2017· article· en· W2605848305 on OpenAlexaff
Vincent Maida, Joyce T. W. Cheung

Bibliographic record

VenueAdvances in Skin & Wound Care · 2017
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsToronto Public HealthWilliam Osler Health SystemCanadian Hospice Palliative Care Association
Fundersnot available
KeywordsMedicineCellulitisFasciitisDermatologySurgeryDifferential diagnosisOsteomyelitisAbscessErythemaTenosynovitisDermisPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with erythematous skin are likely to receive a diagnosis of cellulitis; however, the accuracy of this diagnosis is approximately only 33%. The diagnosis of cellulitis should be made only after a thorough evaluation of all possible differential diagnoses. Cellulitis may be a primary process (superficial spreading infective process involving only the epidermis and dermis) versus a secondary (reactive) process incited by a subcutaneous process, such as an abscess, tenosynovitis, necrotizing fasciitis, and osteomyelitis. CASE PRESENTATION: A 50-year-old man was admitted to a general hospital with the diagnosis of cellulitis. He was initially treated with systemic antibiotics without improvement. Following consultation with a wound management physician, the patient received a diagnosis of a pretibial abscess and was treated with surgical evacuation and postoperative systemic antibiotic therapy guided by tissue cultures. A postoperative wound was successfully treated with inelastic compression therapy. CONCLUSIONS: This case demonstrates the potential for misdiagnosis when evaluating erythematous skin. Furthermore, concluding that the erythema is due to a primary cellulitis may result in monotherapy with systemic antimicrobial agents. In such cases, making a correct diagnosis through a skillful and complete physical examination of the patient, coupled with appropriate investigations, will lead to the best possible outcome. A comprehensive treatment approach may include systemic antimicrobials, as well as surgical options and compression therapy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.307
Teacher spread0.299 · 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 teacher head, 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

Citations2
Published2017
Admission routes1
Has abstractyes

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