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Record W4206018344 · doi:10.1111/apa.16228

EBNEO Commentary: A network meta‐analysis of postnatal corticosteroids for bronchopulmonary dysplasia: Has the most appropriate treatment been revealed?

2022· letter· en· W4206018344 on OpenAlexaff
Nicolas A. Bamat, Erik A. Jensen, Souvik Mitra

Bibliographic record

VenueActa Paediatrica · 2022
Typeletter
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineBronchopulmonary dysplasiaRegimenMeta-analysisPediatricsRandomized controlled trialPopulationIntensive care medicinePsychological interventionDexamethasonePlaceboInternal medicineGestational agePregnancyPsychiatryAlternative medicinePathology

Abstract

fetched live from OpenAlex

Ramaswamy VV, Bandyopadhyay T, Nanda D, Bandiya P, Ahmed J, Garg A, Roehr CC, Nangia S. Assessment of Postnatal Corticosteroids for the Prevention of Bronchopulmonary Dysplasia in Preterm Neonates: A Systematic Review and Network Meta-analysis. JAMA Pediatr 2021; 175(6): e206826. PMID 33720274. Systemic postnatal corticosteroids (PNCs) reduce the risk of bronchopulmonary dysplasia (BPD) in preterm infants but may contribute to long-term neurodevelopmental harm. The need to identify a treatment regimen with a reassuring risk-benefit balance remains.1 In an extraordinary feat of data aggregation, Ramaswamy and colleagues include 62 randomised clinical trials (RCTs) enrolling 5559 neonates in a systematic review and network meta-analysis (NMA) to determine which of 14 distinct PNC exposures (Table) may be most appropriate.2 The authors suggest moderately early-initiated medium cumulative dose systemic dexamethasone is the best regimen. Unlike traditional pairwise meta-analyses, NMAs compare multiple interventions, adding relevance to clinical scenarios with various alternative treatment options. NMAs also allow indirect comparisons between interventions, linking them through a common comparator.3 For example, no RCTs have compared early systemic hydrocortisone (EHC) to late-initiated low-cumulative dose systemic dexamethasone (LaLdDx), but a shared comparison to placebo in separate RCTs allows a relative risk estimation. The validity of NMA results relies on specific assumptions. A critical one is that the data linked to produce indirect evidence display ‘transitivity’.3 In essence, that aggregation may be justified by similarities in key population characteristics. Tools that guide this subjective judgement include assessment of whether the populations are similar on important effect modifiers and whether the indirect comparisons could be assessed in head-to-head trials. Extending the example above, we consider the tools against the PREMILOC (EHC) and DART (LaLdDx) trials.4, 5 A meta-regression identified the baseline risk of developing BPD as an important effect modifier for the effect of PNCs on death or cerebral palsy.6 The rates of death or BPD in the control groups of PREMILOC and DART were 49% and 91%, respectively, questioning their similarity.4, 5 In turn, a hypothetical trial of EHC versus LaLdDx would presumably compare prophylactic EHC to LaLdDx only amongst infants remaining on mechanical ventilation at 14 days. Exposing subjects to LaLdDx irrespective of respiratory status would raise ethical concerns. However, the indirect comparison generated by the NMA is not of prophylactic EHC versus expectant management with rescue LaLdDx. Though we focus on EHC versus LaLdDx as an example, these concerns extend to various comparisons. One could argue that transitivity is generally violated when comparing interventions applied in distinct stages of disease progression, and that use of PNCs as prophylaxis versus treatment of evolving severe BPD are distinct indications best suited to distinct comparisons.3 Lastly, we should avoid labelling the PNC regimen most effective against BPD as ‘most appropriate’. Although a reduction in BPD with various PNC regimens is probable, the avoidance of risk for adverse long-term neurodevelopmental outcomes is uncertain, and the latter will guide appropriateness. Further, as the authors acknowledge, the quality of evidence supporting the conclusion is low. Despite these points of caution, Ramaswamy and colleagues add a rich contribution to the literature, shining a helpful light on the path forward. Conclusively arriving at best practice will require additional high-quality research, followed by cautious data synthesis that prioritises long-term outcomes of importance to patients and their families. URL: https://ebneo.org/postnatal-corticosteroids-meta-analysis. None.

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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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.090
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
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 head0.095
GPT teacher head0.341
Teacher spread0.246 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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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