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Record W4404397530 · doi:10.1159/000542482

The Care of Preterm and Term Newborns with Respiratory Conditions: A Systematic Synthesis of Evidence from Low- and Middle-Income Countries

2024· review· en· W4404397530 on OpenAlexaff
Georgia Dominguez, Oviya Muralidharan, Rachel Lee Him, Leila Harrison, Tyler Vaivada, Zulfiqar A Bhutta

Bibliographic record

VenueNeonatology · 2024
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersBill and Melinda Gates Foundation
KeywordsMedicinePsychological interventionRespiratory distressBronchopulmonary dysplasiaPediatricsIntensive care medicineRespiratory failureMeconium aspiration syndromeMechanical ventilationSystematic reviewMeconiumMEDLINEPregnancyGestational ageFetusSurgeryInternal medicineNursing

Abstract

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INTRODUCTION: Neonatal respiratory conditions are leading causes of mortality and morbidity during the neonatal period. This review evaluated 11 management interventions for respiratory distress syndrome (RDS), apnoea of prematurity (AOP), meconium aspiration syndrome (MAS), transient tachypnea of the newborn (TTN), as well as bronchopulmonary dysplasia (BPD) as a potential complication from respiratory care in low- and middle-income countries (LMICs). METHODS: Two different methodological approaches were completed: (1) updating outdated reviews and pooling all LMIC studies and (2) re-analysis of LMIC studies from up-to-date reviews. Review updates were conducted between October 2022 and February 2023 and followed systematic methodology. A total of 50 studies were included across four review updates and seven review re-analyses. RESULTS: Findings indicate that bubble CPAP (RR 0.74, 95% CI: 0.58-0.96) and prophylactic CPAP (RR 0.39, 95% CI: 0.26-0.57) for RDS reduced the risk of treatment failure compared to other ventilation types or supportive care, respectively. Postnatal corticosteroids reduced BPD assessed as oxygen requirement at 36 weeks' postmenstrual age (RR 0.56, 95% CI: 0.41-0.77). All other outcomes were found to be non-significant across remaining interventions. CONCLUSIONS: Our findings indicate that prophylactic and bubble CPAP may provide some benefit by reducing treatment failure compared to other pressure sources. The safety and efficacy of other management interventions for RDS, AOP, BPD, MAS, and TTN remains uncertain given limited evaluations in LMICs. Future research should conduct adequately powered trials in underrepresented LMIC regions, investigate long-term outcomes, and evaluate cost-effectiveness. INTRODUCTION: Neonatal respiratory conditions are leading causes of mortality and morbidity during the neonatal period. This review evaluated 11 management interventions for respiratory distress syndrome (RDS), apnoea of prematurity (AOP), meconium aspiration syndrome (MAS), transient tachypnea of the newborn (TTN), as well as bronchopulmonary dysplasia (BPD) as a potential complication from respiratory care in low- and middle-income countries (LMICs). METHODS: Two different methodological approaches were completed: (1) updating outdated reviews and pooling all LMIC studies and (2) re-analysis of LMIC studies from up-to-date reviews. Review updates were conducted between October 2022 and February 2023 and followed systematic methodology. A total of 50 studies were included across four review updates and seven review re-analyses. RESULTS: Findings indicate that bubble CPAP (RR 0.74, 95% CI: 0.58-0.96) and prophylactic CPAP (RR 0.39, 95% CI: 0.26-0.57) for RDS reduced the risk of treatment failure compared to other ventilation types or supportive care, respectively. Postnatal corticosteroids reduced BPD assessed as oxygen requirement at 36 weeks' postmenstrual age (RR 0.56, 95% CI: 0.41-0.77). All other outcomes were found to be non-significant across remaining interventions. CONCLUSIONS: Our findings indicate that prophylactic and bubble CPAP may provide some benefit by reducing treatment failure compared to other pressure sources. The safety and efficacy of other management interventions for RDS, AOP, BPD, MAS, and TTN remains uncertain given limited evaluations in LMICs. Future research should conduct adequately powered trials in underrepresented LMIC regions, investigate long-term outcomes, and evaluate cost-effectiveness.

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)0.001
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.078
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.105
GPT teacher head0.413
Teacher spread0.308 · 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 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

Citations5
Published2024
Admission routes1
Has abstractyes

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