MétaCan
Menu
Back to cohort
Record W2157411978

Approach to infected skin ulcers.

2005· article· en· W2157411978 on OpenAlexaboutno aff
Christopher Frank, Imaan Bayoumi

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWound careIntensive care medicineSystemic antibioticsMEDLINESkin ulcerAntibioticsGranulation tissueDermatologyCritical appraisalInfection controlSurgeryPathologyWound healingAlternative medicineMicrobiology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the diagnosis and management of infected chronic skin ulcers. SOURCES OF INFORMATION: Cochrane database, MEDLINE, and Google were searched for clinical practice guidelines (CPGs) for wound care. Most recommendations found in the CPGs had level II or III evidence. Expert and consensus opinion from the Canadian Chronic Wound Advisory Board and the International Wound Bed Preparation Advisory Board were also used. MAIN MESSAGE: Bacteria in skin ulcers act along a continuum from contamination through colonization and critical colonization to infection. Critical colonization is not always associated with overt signs of infection but can result in failure to heal, poor-quality granulation tissue, increased wound friability, and increased drainage. Good-quality swab samples should be an adjunct to clinical acumen, not a primary strategy for diagnosis. Iodine and silver-based dressings, topical antibiotics, and systemic antibiotics can be helpful. CONCLUSION: Diagnosis of chronic wound infection is based on clinical signs and a holistic approach to patients. More research into assessment and treatment of skin ulcer infection is needed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
Threshold uncertainty score0.252

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 head0.030
GPT teacher head0.258
Teacher spread0.228 · 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

Citations42
Published2005
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicWound Healing and TreatmentsFrench-language works237,207