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Record W4318829076 · doi:10.35975/apic.v26i6.2048

Conventional mechanical ventilation versus high-frequency oscillatory ventilation in congenital diaphragmatic hernia of neonates: a systematic review

2022· review· en· W4318829076 on OpenAlexaboutno aff
Christopher Kapuangan, Andi Ade Wijaya Ramlan, Raihanita Zahra, Dr Rahendra, Ratna Farida Soenarto, Ezra Hanawi

Bibliographic record

VenueAnaesthesia Pain & Intensive Care · 2022
Typereview
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCongenital diaphragmatic herniaMechanical ventilationVentilation (architecture)High-frequency ventilationDiaphragmatic breathingDiaphragmatic herniaRandomized controlled trialRespiratory distressAnesthesiaHerniaSurgeryPregnancy

Abstract

fetched live from OpenAlex

Background: Neonates with congenital diaphragmatic hernia (CDH) present with respiratory distress and circulatory insufficiency, requiring immediate intubation and mechanical ventilation. Studies in the literature present contradictory results regarding the optimal ventilation mode for neonates with congenital diaphragmatic hernia. We present a systematic review of the selected literature regarding high-frequency oscillatory ventilation (HFOV) compared to conventional mechanical ventilation (CMV) in congenital diaphragmatic hernia. Methodology: PubMed, SCOPUS, EBSCOhost, and ProQuest databases were used to identify literature regarding HFOV compared to CMV in a CDH. The methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale (NOS) for cohort studies and the Joanna Briggs Institute critical appraisal tool for randomized clinical trials. Results: Four studies were identified and considered eligible for the study. One study was a randomized clinical trial, and the other three cohort studies. Patients in the high-frequency oscillatory (HFO) group presented with a higher length of ventilation and hospital stay. There was a lack of evidence regarding any significant difference in the mortality rate. Conclusion: We cannot make an evidence-based recommendation regarding the superiority of either CMV or HFOV as the optimal ventilation method in neonates with CDH. However, almost all studies observed a lengthened period of ventilation and time required before surgical repair in the HFOV group. Abbreviations: CDH: congenital diaphragmatic hernia; CLD: chronic lung disease; CMV: conventional mechanical ventilation; GER: gastroesophageal reflux; HFOV: high-frequency oscillatory ventilation; NOS: Newcastle-Ottawa Scale; RDS: respiratory distress syndrome Key words: Congenital Diaphragmatic Hernia; Conventional Mechanical Ventilation; High-Frequency Oscillatory Ventilation Citation: Kapuangan C, Ramlan AAW, Zahra R, Rahendra, Soenarto RF, Hanawi E. Conventional mechanical ventilation versus high-frequency oscillatory ventilation in congenital diaphragmatic hernia of neonates: a systematic review. Anaesth. pain intensive care 2022;26(6):000−000 ; DOI: 10.35975/apic.v26i6.2048

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.006
Bibliometrics0.0060.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.320
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2022
Admission routes1
Has abstractyes

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