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Medical risk factors (assessed at baseline) for outcome from the child's case notes using the standardised Australian and New Zealand Neonatal network data definitions (e.g. GA, birth weight, disease severity, PIVH [ 50 ], PVL) [ 1 ].
Data were collected by different staff across eight countries, although all used the same standardised data collection form for screening.
Patients' records were reviewed by one of us, using a standardised data collection form with predefined criteria.
Two independent observers extracted the data using a standardised data sheet, and two other observers, blinded to the results, selected the most important component.
PA and SG reviewed the selected articles and SG and MB abstracted the data using a standardised data collection protocol.
Data extraction, verification and study quality assessment were conducted by two of the authors using a standardised data extraction form.
A pair of reviewers independently extracted relevant data from the studies using a standardised data extraction form.
The two reviewers (JT and JC) will assess trial quality and extract the data using a standardised data abstraction form and data entry onto Microsoft Excel, to assist with data management.
JU-S and BS independently extracted data from all studies included in the review using a standardised data extraction form to reduce bias.
The project costs of delivering the interventions will be collected prospectively from the project accounts using a standardised data capture tool designed for this purpose in Excel, and converted to economic costs.
Two independent reviewers (YL, BQ) will independently extract the key trial parameters using a standardised data abstraction form and assess the risk of bias.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com