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Record W2939405361 · doi:10.14740/jocmr3809

Prolonged Rupture of Membranes, Neonatal Outcomes and Management Guidelines

2019· article· en· W2939405361 on OpenAlexvenueno aff
Manar Al‐lawama, Ala AlZaatreh, Rawan Elrajabi, Sultan Abdelhamid, Eman Badran

Bibliographic record

VenueJournal of Clinical Medicine Research · 2019
Typearticle
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsnot available
Fundersnot available
KeywordsPromMedicineSepsisAsymptomaticNeonatal sepsisPediatricsMedical recordRetrospective cohort studyPremature rupture of membranesObstetricsPregnancyGestational ageInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Prolonged rupture of membranes (PROM) is a risk factor for early-onset neonatal sepsis (EOS). In the absence of early specific and sensitive diagnostic tools, management of asymptomatic infants is difficult. This study was conducted to investigate clinical outcomes of newborns born to mothers with PROM. METHODS: A retrospective study of neonates ≥ 34 weeks admitted due to PROM was conducted. Medical charts were reviewed. Neonates were classified into three categories based on their status at birth: ill appearing, well, and equivocal. Sepsis risk calculator was retrospectively applied. RESULTS: A total of 176 neonates were included. All mothers had unknown group B streptococcus (GBS) status. Of them, 74.4% were asymptomatic. Nine infants (5%) had positive cultures, and 23 infants (13%) had culture-negative sepsis. The newborns with sepsis fit into the "ill appearing" category with a significantly higher proportion (12.5% vs. 0.0%, P value < 0.0). CONCLUSIONS: Reliable early diagnostic tools for neonatal sepsis are lacking. Adopting a protocol that utilizes multiple methods and follow-up for the clinical condition of these infants are the key factors to avoid missing neonates with true sepsis and decreasing the use of antibiotics in those without infection.

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)0.006
metaresearch head score (Gemma)0.002
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 score0.247
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.246
GPT teacher head0.559
Teacher spread0.313 · 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
Published2019
Admission routes1
Has abstractyes

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