MétaCan
Menu
Back to cohort
Record W4412859998 · doi:10.52609/jmlph.v5i4.193

Neonatal Septic Arthritis Caused by Escherichia coli: A Case Report from Saudi Arabia

2025· article· en· W4412859998 on OpenAlexvenueno aff
Khalid Almahmoud, Lama Alfakhri, Abdulrahman Alzahrani, I. Hussain, Amal Yousif

Bibliographic record

VenueThe Journal of Medicine Law & Public Health · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsSeptic arthritisEscherichia coliArthritisMedicineMicrobiologyBiologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

Prompt diagnosis and treatment of neonatal septic arthritis (SA) is crucial to prevent severe complications such as joint deformity and long-term disability. This report details the case of a 16-day-old male neonate presenting with localised swelling, erythema, and restricted movement of the right knee, ultimately diagnosed with Escherichia coli-induced septic arthritis—a previously undocumented finding in Saudi Arabia. The diagnosis was confirmed via synovial fluid culture, and management included the administration of broad-spectrum antibiotics adjusted according to sensitivity, as well as surgical intervention. This case highlights the significance of an early, multidisciplinary approach in managing neonatal septic arthritis and adds to the literature on atypical causative pathogens.

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)0.003
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.319
Teacher spread0.297 · 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 designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Medicine Law & Public HealthSame topicOrthopedic Infections and TreatmentsFrench-language works237,207