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Skin and soft tissue infections in hospitalized cancer patients

2021· article· en· W3215520605 on OpenAlexaff
Huda Khalifah Almutairi, Oluwaseun Egunsola, Afaf Almutairi, Salha M. Al-Dossary, Rana S. Alshammasi, Dalal Salem Al-Dossari, Sheraz Ali

Bibliographic record

VenueSaudi Medical Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineCellulitisIncidence (geometry)Internal medicineEpidemiologyBreast cancerRetrospective cohort studyCancerAntimicrobialSurgeryObservational studySkin cancerDermatology

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess the clinical and epidemiological characteristics of hospitalized cancer patients with skin and soft-tissue infections (SSTIs). METHODS: An observational retrospective study was conducted between March 2016 and December 2020 at the Oncology Department of King Saudi Medical City, Riyadh, Saudi Arabia. Patients with complicated and uncomplicated SSTIs were included. RESULTS: A total of 204 cancer patients with SSTIs were evaluated. The incidence of SSTIs was 1.67% (204/12,203). Breast cancer (39%) was the most common solid tumor in all patients with SSTIs. Exit site infection (n=84, 41.2%) was the most common SSTI in cancer patients, followed by wound infection (n=72, 35.3%), and cellulitis (n=44, 21.5%). The majority of patients received appropriate antimicrobial therapy (n=150, 73.5%). CONCLUSION: This study has shown a modest incidence of SSTIs in hospitalized cancer patients, with many of the patients received appropriate antimicrobial 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0040.000

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 head0.009
GPT teacher head0.321
Teacher spread0.312 · 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.

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

Citations6
Published2021
Admission routes1
Has abstractyes

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