Efficacy and safety of low-dose versus high-dose hydrocortisone to treat hypotension in neonates: a protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Impaired adrenal function is a well-described entity in critically ill term and preterm neonates with systemic hypotension. The standard treatment for neonatal hypotension includes volume expanders and vasopressors. Recent evidence supports the use of glucocorticoids for the primary or rescue treatment of neonatal hypotension associated with impaired adrenal function. However, inconsistency regarding the prescribed dosing regimen to provide the best balance between efficacy and safety in this vulnerable population remains an area of concern. METHODS: We will conduct a systematic review and meta-analysis to evaluate low-dosing compared with high-dosing regimens of hydrocortisone for the treatment of hypotension in critically ill term, preterm and very low birth weight neonates. Ovid MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials and Web of Science will be searched from inception to November 2021. Study screening and selection will be completed as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Our primary outcomes will be (1) an improvement in end-organ perfusion, defined as an increase in blood pressure along with an increase in urine output or a reduction in serum lactate and (2) mortality prior to discharge. Our secondary outcomes will be the development of (1) major neurosensory abnormality, (2) bronchopulmonary dysplasia and (3) the occurrence of adverse events. DISCUSSION: Hydrocortisone may be beneficial in the treatment of hypotension associated with impaired adrenal function among critically ill neonates. However, its optimal dosing to balance desired efficacy with the risk of adverse events is yet to be determined. Our systematic review and meta-analysis aims to address this evidence gap, providing valuable knowledge for a large audience, including guideline developers, policy-makers and clinicians. PROSPERO REGISTRATION NUMBER: This protocol is submitted for registration to the international database of prospectively registered systematic reviews (PROSPERO, awaiting registration number).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.067 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.023 | 0.042 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".