MétaCan
Menu
Back to cohort
Record W2328740161 · doi:10.1097/aap.0000000000000171

The Effect of Gowning on Labor Epidural Catheter Colonization Rate

2014· article· en· W2328740161 on OpenAlexaff
Naveed Siddiqui, Sharon Davies, Allison McGeer, José C. A. Carvalho, Zeev Friedman

Bibliographic record

VenueRegional Anesthesia & Pain Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineCatheterColonizationRandomized controlled trialAnesthesiaSurgeryPort (circuit theory)

Abstract

fetched live from OpenAlex

BACKGROUND: The need to gown for labor epidural catheter insertion is controversial. The American Society of Regional Anesthesia and Pain Medicine has identified a lack of randomized controlled trials investigating this issue. The purpose of this study was to examine the effect of gowning on colonization rates following epidural catheter insertion for labor analgesia. METHODS: Following research ethics board approval and informed written consent, parturients were randomized to undergo epidural analgesia with the anesthesiologist either ungowned or wearing a sterile gown. Cultures were obtained from each of the operator forearms, the work area under the insertion site, and from the epidural catheter tip as well as from the catheter segment adjacent to the insertion site. The primary outcome was growth of any microbial organisms from the cultured sites. RESULTS: Two hundred fourteen patients completed the study. There were no significant differences in catheter-tip colonization rates between the ungowned and gowned groups (9.2% vs 7.6%, respectively). The most common microorganism that was cultured was coagulase-negative Staphylococcus. CONCLUSIONS: The use of gowns in the current study did not affect catheter colonization rate. Overall, there was a relatively high incidence of catheter-tip colonization in both groups, which underscores the need for strict aseptic technique.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.664
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
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)0.0000.000

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 head0.009
GPT teacher head0.263
Teacher spread0.254 · 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

Citations17
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueRegional Anesthesia & Pain MedicineSame topicSurgical site infection preventionFrench-language works237,207