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Intervention Protocol

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Creatine for women in pregnancy for neuroprotection of the fetus

  1. Emily Bain1,
  2. Dominic Wilkinson2,*,
  3. Philippa Middleton1,
  4. Caroline A Crowther1,3,
  5. Hayley Dickinson4,
  6. David W Walker4

Editorial Group: Cochrane Pregnancy and Childbirth Group

Published Online: 26 NOV 2013

DOI: 10.1002/14651858.CD010846


How to Cite

Bain E, Wilkinson D, Middleton P, Crowther CA, Dickinson H, Walker DW. Creatine for women in pregnancy for neuroprotection of the fetus (Protocol). Cochrane Database of Systematic Reviews 2013, Issue 11. Art. No.: CD010846. DOI: 10.1002/14651858.CD010846.

Author Information

  1. 1

    The University of Adelaide, ARCH: Australian Research Centre for Health of Women and Babies, The Robinson Institute, Discipline of Obstetrics and Gynaecology, Adelaide, South Australia, Australia

  2. 2

    Women's and Children's Hospital, Department of Neonatal Medicine, Adelaide, SA, Australia

  3. 3

    The University of Auckland, Liggins Institute, Auckland, New Zealand

  4. 4

    Monash Institute of Medical Research, The Ritchie Centre, Melbourne, Victoria, Australia

*Dominic Wilkinson, Department of Neonatal Medicine, Women's and Children's Hospital, 72 King William Road, Adelaide, SA, 5006, Australia. dominic.wilkinson@adelaide.edu.au.

Publication History

  1. Publication Status: New
  2. Published Online: 26 NOV 2013

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This is not the most recent version of the article. View current version (19 DEC 2014)

 

Background

  1. Top of page
  2. Background
  3. Objectives
  4. Methods
  5. Acknowledgements
  6. Contributions of authors
  7. Declarations of interest
  8. Sources of support
 

Description of the condition

 

Fetal brain injury: causes and consequences

The developing fetal brain is extremely vulnerable, and thus a compromised intrauterine environment increases the risk of brain injury (and/or abnormal brain development) for both the preterm (before 37 weeks' gestation) and term fetus (Rees 2011). Fetal brain injury is a major contributor to perinatal mortality and morbidity worldwide (Jensen 2003), with such injury being associated with a spectrum of life-long functional and behavioural disorders.

While a number of causes of fetal brain injury have been recognised (such as intrauterine infection, placental insufficiency, and chronic fetal hypoxia leading to metabolic derangement), episodes of cerebral hypoxia-ischaemia (reduced oxygen in the blood combined with reduced blood flow to the brain) appear to be important in a great number of cases (whether being acute, chronic, associated with inflammation, or as an antecedent of preterm birth) (du Plessis 2002; Rees 2011; Volpe 2001). Following cerebral hypoxia and ischaemia, it is believed that a sequence of pathophysiological events ultimately leading to cell death (via necrosis or apoptosis) are triggered, involving for example, the overstimulation of N-methyl-D-aspartate type glutamate receptors, the accumulation of calcium in cells, and the activation of deleterious events mediated by calcium (including the stimulation of enzymes such as nitric oxide synthase, and the production of oxygen free radicals) (Jensen 2003; Johnston 2000; Rees 2011). Studies of the developing fetal brain have shown that the nature and severity of insult, and gestational age at the time of injury, can greatly influence the subsequent neuropathology. An important common feature of the fetal brain in all such situations, however, is the depletion of cellular energy. While it has been shown that neuronal cell injury predominates in term infants, and cerebral white matter injury predominates in premature infants (Volpe 2001), recent evidence has suggested that the same white matter injury in preterm infants can be sustained and is important in term infants also; and recent studies have additionally highlighted the importance of grey matter injury as a component of preterm brain damage (Rees 2011).

Injury to both the preterm and term developing brain is known to be associated with life-long and devastating sequelae, such as hearing, sight and speech disorders, seizures, intellectual disabilities, and motor impairments that may manifest as cerebral palsy (Vexler 2001). Cerebral palsy is an umbrella term, describing "a group of disorders of the development of movement and posture, causing activity limitations, which are attributed to non progressive disturbances that occurred in the developing fetal or infant brain” (Bax 2005). Cerebral palsy is a complex neurological condition, and is often found alongside cognitive, communication, sight and hearing impairments, or epilepsy, pain, behaviour and sleep disorders (Novak 2012). It is the most common physical disability in childhood, and the most severe physical disability within the spectrum of developmental delay. While for a small number of individuals, a brain injury after birth may lead to the development of cerebral palsy, for the vast majority (94%), the injury leading to cerebral palsy occurs to the fetus in utero, or before one month of age (ACPR Group 2009).

A great number of potential predisposing factors and causal pathways for cerebral palsy and associated impairments and disabilities have been identified. While preterm birth has been recognised as one of the most important risk factors for cerebral palsy (Blair 2006; Jacobsson 2002; McIntyre 2013) (with preterm infants being at an increased risk of white matter injury such as periventricular leukomalacia, and of intraventricular haemorrhage (Larroque 2003)), approximately 60% of all children with cerebral palsy are born at term (ACPR Group 2009; McIntyre 2013; Wu 2003). For infants born at term, antenatal or intrapartum risk factors for cerebral palsy consistently identified in the literature have included small-for-gestational age, low birthweight, and placental abnormalities (Blair 2006; McIntyre 2013). Maternal bleeding in the second and third trimesters (McIntyre 2013), hypertension in pregnancy (McIntyre 2013), pre-eclampsia (Blair 2006; McIntyre 2013), perinatal infection (such as chorioamnionitis) (Blair 2006; McIntyre 2013; Wu 2003), and increasing plurality (Blair 2006), have been shown to increase the risk of cerebral palsy and associated neurosensory disorders across all gestational ages. For term infants, intrapartum birth asphyxia (a condition resulting from deprivation of oxygen to a newborn, lasting long enough to cause physical harm) has also been shown to be an important predictor of brain injury and later disability (Dilenge 2001; McIntyre 2013).

To date, there is minimal knowledge regarding effective strategies to prevent, reduce or remove the risk of antenatally-acquired fetal brain injury, and accordingly, to prevent the potentially devastating life-long consequences associated with such brain injury for the infant, child and adult. Magnesium sulphate, when given to the mother immediately prior to very preterm birth, is one of the first antenatal interventions shown to be effective in reducing the risk of death and cerebral palsy for the infant (Doyle 2009). Following major advances in understanding the mechanisms of fetal brain injury and in identifying predisposing factors for such brain injury, further promise has been raised for the development of primary preventative strategies, based on preventing the complex sequence of pathophysiological and biochemical events that induce irreversible injury.

 

Description of the intervention

 

Creatine

Creatine is a simple guanidine compound, which may be synthesised endogenously from the amino acids arginine, glycine, and methionine, in the liver, kidney and pancreas (Adcock 2002). Creatine may also be ingested, through the consumption of dairy, fish and meat, and is found throughout the human body, including in the brain (Rees 2011). Creatine is taken up into tissues via the creatine transporter and stored as creatine or phosphocreatine. Phosphocreatine is readily converted to creatine via creatine kinase in a reversible reaction which yields a high energy phosphate allowing the conversion of adenosine diphosphate (ADP) to adenosine triphosphate (ATP) (Wallimann 1992).

A number of studies have demonstrated that creatine has neuroprotective and antioxidant properties, suggesting benefits for neurodegenerative diseases, including amyotrophic lateral sclerosis and Parkinson's disease, traumatic brain disease, and adult stroke; conditions encompassing hypoxia and excitotoxic-mediated brain injury (Sullivan 2000; Zhu 2004). A Cochrane review that included three trials assessing creatine for improving amyotrophic lateral sclerosis survival, or for slowing progression, found no clear evidence to support meaningful improvements. Importantly, however, creatine was found to be well-tolerated, with no serious adverse effects observed (Pastula 2010). A new Cochrane review will assess the efficacy and safety of creatine when used alone, or as an adjunctive treatment, for Parkinson's disease (Wang 2012).

 

How the intervention might work

 

Creatine for fetal neuroprotection

There is currently increasing support for the use of creatine as a therapy for protecting tissues against injury; particularly, there is growing evidence of creatine's potential to act as a neuroprotective agent (Wallimann 2011). One of the primary mechanisms of injury arising from severe hypoxia at birth (particularly for the brain) involves mitochondrial dysfunction, leading to impaired energy metabolism and oxidative stress (Calvert 2005; Wyss 2002). It has been suggested that preservation of ATP through increase of the intracellular pool of creatine and phosphocreatine can protect the brain from such injuries (Beal 2011; Wallimann 1992). In addition to its role as an 'energy buffer' (providing energy in the absence of oxygen), creatine appears to have antioxidant properties, scavenging free radicals (Lawler 2002; Sestili 2006). Creatine has also been shown to improve the recovery of cerebral blood flow following the cessation of a hypoxic episode (Prass 2006).

Hypoxic-ischaemic models of neonatal brain damage in rodents have provided support for the neuroprotective effects of creatine. Subcutaneous injections of creatine given to neonatal rodents prior to transient severe hypoxia-ischaemia have been shown to reduce brain oedema (Adcock 2002). Recently, the supplementation of the maternal diet with creatine, from mid-pregnancy until term, has been shown to not only increase the concentration of creatine and phosphocreatine in rodent fetal tissues, but also to improve survival and postnatal growth of the offspring after an acute hypoxic episode at birth (Ireland 2008). Maternal creatine supplementation during pregnancy has been shown to prevent lipid peroxidation and apoptosis in the brains of rodent offspring following intrapartum hypoxia (Ireland 2011). It has been proposed that creatine's ability to protect mitochondrial function may account for this observed neuroprotective effect (Ireland 2011).

In addition to offering neuroprotection, maternal creatine supplementation has been shown to protect the newborn diaphragm from intrapartum hypoxia-induced damage (Cannata 2010). Rodent offspring born to mothers who received creatine supplementation from mid-pregnancy, have been shown to be less likely to incur diaphragmatic damage (including muscular atrophy and contractile dysfunction) following hypoxia, as compared with control offspring (Cannata 2010). Most recently, maternal creatine supplementation has been shown to protect the newborn kidney from intrapartum hypoxia-induced damage. Specifically, creatine given to the mother throughout the second half of pregnancy, has been shown to be able to prevent structural damage to the glomeruli and tubules of the kidney of the newborn spiny mouse (Ellery 2013).

Importantly, with any intervention during pregnancy, the impact for the mother must be considered, along with the impact on the normal development of the fetus. Walker, Dickinson and colleagues have recently assessed the impact of maternal creatine supplementation from mid-gestation on the capacity for creatine synthesis and transport in the newborn spiny mouse; encouragingly, long-term supplementation was not shown to impact on the normal development of these pathways (Dickinson 2013). Similarly, to date, no effects of maternal creatine supplementation on maternal body composition have been observed when creatine-fed pregnant spiny mice have been compared with control-fed spiny mice (unpublished observations). While there has been some concern over possible deleterious effects on long-term, high-dose creatine supplementation on kidney function, recent work, measuring chromium-ethylenediamine tetraacetic acid (51-Cr-EDTA) clearance, has indicated no negative impact of creatine supplementation on kidney function in human type 2 diabetic patients (Gualano 2011). Studies measuring urine creatinine (as compared with 51-Cr-EDTA), as a marker of kidney function, should be interpreted with caution, given that creatinine is a breakdown product of creatine phosphate in muscle; thus the presence of high urine creatinine would be expected during periods of high creatine consumption, and is not necessarily indicative of kidney damage (Gualano 2011).

In light of the current evidence, it is considered plausible, therefore, that creatine could protect the human fetal brain against injury associated with hypoxia-ischaemia, excitotoxicity or oxidative stress, without causing harm to the fetus or the mother. It is important to assess whether maternally administered creatine (at time of known, suspected, or potential fetal compromise) may offer fetal neuroprotection and may accordingly reduce the risk of cerebral palsy and associated impairments and disabilities arising from fetal brain injury.

 

Why it is important to do this review

Creatine has been shown to have neuroprotective properties (such as providing cellular energy in the absence of oxygen (Beal 2011; Wallimann 1992), demonstrating antioxidant effects (Lawler 2002; Sestili 2006), and improving cerebral blood flow following hypoxia (Prass 2006)). Animal studies have supported a fetal neuroprotective role for creatine when administered maternally (Ireland 2008; Ireland 2011). It is important to assess whether creatine, when given to pregnant women, can reduce the risk of neurological impairments and disabilities (including cerebral palsy) associated with fetal brain injury, and death, for the preterm or term fetus.

This review will complement the Cochrane review 'Melatonin for women in pregnancy for neuroprotection of the fetus' (Wilkinson 2013), that is assessing melatonin as a novel agent for preterm and/or term fetal neuroprotection.

 

Objectives

  1. Top of page
  2. Background
  3. Objectives
  4. Methods
  5. Acknowledgements
  6. Contributions of authors
  7. Declarations of interest
  8. Sources of support

To assess the effects of creatine when used for neuroprotection of the fetus.

 

Methods

  1. Top of page
  2. Background
  3. Objectives
  4. Methods
  5. Acknowledgements
  6. Contributions of authors
  7. Declarations of interest
  8. Sources of support
 

Criteria for considering studies for this review

 

Types of studies

All published, unpublished and ongoing randomised trials and quasi-randomised trials assessing creatine for fetal neuroprotection will be included. Cross-over and cluster-randomised trials will be excluded. Studies reported as abstracts only will be included.

 

Types of participants

Pregnant women regardless of whether the pregnancy was single or multiple, and regardless of their gestational age will be included. This may include, for example, trials of women with preterm or growth-restricted fetuses, with chorioamnionitis, with prelabour rupture of membranes, with pre-eclampsia, or with actual/suspected antenatal/intrapartum fetal distress.

 

Types of interventions

We will include trials where creatine was administered to pregnant women, and was compared with a placebo or no treatment, or with an alternative agent aimed at providing fetal neuroprotection (e.g. magnesium sulphate or melatonin). We will also include trials where creatine was administered to pregnant women where the indication for use was not fetal neuroprotection, where information has been reported on the review's pre-specified outcomes. We will also include studies where different regimens for administration of creatine were compared. We will include studies regardless of the route (i.e. oral, intramuscular or intravenous), timing, dose and duration of creatine administration.

 

Types of outcome measures

 

Primary outcomes

Primary outcomes have been chosen to be the most representative of the clinically important measures of effectiveness and safety, including serious outcomes and adverse effects.

 
For the infant/child

  • Death or any neurosensory disability (at latest time reported) (this combined outcome recognises the potential for competing risks of death or survival with neurological problems)
  • Death (defined as all fetal, neonatal or later death) (at latest time reported)
  • Neurosensory disability (any of cerebral palsy, blindness, deafness, developmental delay/intellectual impairment) (at latest time reported)

 
Definitions

  • Cerebral palsy: abnormality of tone with motor dysfunction (as diagnosed at 18 months of age or later)
  • Blindness: corrected visual acuity worse than 6/60 in the better eye
  • Deafness: hearing loss requiring amplification or worse
  • Developmental delay/intellectual impairment: a standardised score less than minus one standard deviation (SD) below the mean (or as defined by trialists)

 
For the mother

  • Any adverse effects severe enough to stop treatment (as defined by trialists)

 

Secondary outcomes

Secondary outcomes include other measures of effectiveness and safety.

 
For the fetus/infant

  • Abnormal fetal and umbilical Doppler ultrasound study (as defined by trialists)
  • Fetal death
  • Neonatal death
  • Gestational age at birth
  • Birthweight (absolute and centile)
  • Apgar score (less than seven at five minutes)
  • Active resuscitation via an endotracheal tube at birth
  • Use and duration of respiratory support (mechanical ventilation or continuous positive airways pressure, or both)
  • Intraventricular haemorrhage (including severity – grade one to four) (as defined by trialists)
  • Periventricular leukomalacia (as defined by trialists)
  • Hypoxic ischaemic encephalopathy (as defined by trialists)
  • Neonatal encephalopathy (as defined by trialists)
  • Proven neonatal sepsis (as defined by trialists)
  • Necrotising enterocolitis (as defined by trialists)
  • Abnormal neurological examination (however defined by the trialists, at a point earlier than 18 months of age)

 
For the mother

  • Side effects and serious adverse events associated with treatment (as reported by individual trialists e.g. renal dysfunction)
  • Women’s satisfaction with the treatment (as defined by trialists)
  • Mode of birth (normal vaginal birth, operative vaginal birth, caesarean section), and indication for non-elective mode of birth

 
For the infant/child

  • Cerebral palsy (any, and graded as severe: including children who are non-ambulant and are likely to remain so; moderate: including those children who have substantial limitation of movement; mild: including those children walking with little limitation of movement)
  • Death or cerebral palsy
  • Blindness
  • Deafness
  • Developmental delay/intellectual impairment (classified as severe: a developmental quotient or intelligence quotient less than minus three SD below the mean (or as defined by trialists); moderate: a developmental quotient or intelligence quotient from minus three SD to minus two SD below the mean (or as defined by trialists); mild: a developmental quotient or intelligence quotient from minus two SD to minus one SD below the mean (or as defined by trialists))
  • Major neurosensory disability (defined as any of: moderate or severe cerebral palsy, legal blindness, neurosensory deafness requiring hearing aids, or moderate or severe developmental delay/intellectual impairment)
  • Death or major neurosensory disability
  • Growth assessments at childhood follow-up (weight, head circumference, length/height)

 
Use of health services

  • Admission to intensive care unit for the mother
  • Length of postnatal hospitalisation for the women
  • Admission to neonatal intensive care for the infant and length of stay
  • Costs of care for the mother or infant, or both

 

Search methods for identification of studies

 

Electronic searches

We will contact the Trials Search Co-ordinator to search the Cochrane Pregnancy and Childbirth Group’s Trials Register.

The Cochrane Pregnancy and Childbirth Group’s Trials Register is maintained by the Trials Search Co-ordinator and contains trials identified from:

  1. monthly searches of the Cochrane Central Register of Controlled Trials (CENTRAL);
  2. weekly searches of MEDLINE;
  3. weekly searches of Embase;
  4. handsearches of 30 journals and the proceedings of major conferences;
  5. weekly current awareness alerts for a further 44 journals plus monthly BioMed Central email alerts.

Details of the search strategies for CENTRAL, MEDLINE and Embase, the list of handsearched journals and conference proceedings, and the list of journals reviewed via the current awareness service can be found in the ‘Specialized Register’ section within the editorial information about the Cochrane Pregnancy and Childbirth Group.

Trials identified through the searching activities described above are each assigned to a review topic (or topics). The Trials Search Co-ordinator searches the register for each review using the topic list rather than keywords.

We will not apply any language restrictions.

 

Data collection and analysis

 

Selection of studies

At least two review authors will independently assess for inclusion all the potential studies we identify as a result of the search strategy. We will resolve any disagreement through discussion or, if required, we will consult a third review author.

 

Data extraction and management

We will design a form to extract data. For eligible studies, at least two review authors will extract the data using the agreed form. We will resolve discrepancies through discussion or, if required, we will consult a third review author. We will enter data into Review Manager software (RevMan 2012) and check for accuracy.

When information regarding any of the above is unclear, we will attempt to contact authors of the original reports to provide further details.

 

Assessment of risk of bias in included studies

At least two review authors will independently assess risk of bias for each study using the criteria outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). We will resolve any disagreement by discussion or by involving a third assessor.

 

(1) Random sequence generation (checking for possible selection bias)

We will describe for each included study the method used to generate the allocation sequence in sufficient detail to allow an assessment of whether it should produce comparable groups.

We will assess the method as:

  • low risk of bias (any truly random process, e.g. random number table; computer random number generator);
  • high risk of bias (any non-random process, e.g. odd or even date of birth; hospital or clinic record number);
  • unclear risk of bias.   

 

(2) Allocation concealment (checking for possible selection bias)

We will describe for each included study the method used to conceal allocation to interventions prior to assignment and will assess whether intervention allocation could have been foreseen in advance of, or during recruitment, or changed after assignment.

We will assess the methods as:

  • low risk of bias (e.g. telephone or central randomisation; consecutively numbered sealed opaque envelopes);
  • high risk of bias (open random allocation; unsealed or non-opaque envelopes, alternation; date of birth);
  • unclear risk of bias.   

 

(3.1) Blinding of participants and personnel (checking for possible performance bias)

We will describe for each included study the methods used, if any, to blind study participants and personnel from knowledge of which intervention a participant received. We will consider that studies are at low risk of bias if they were blinded, or if we judge that the lack of blinding would be unlikely to affect results. We will assess blinding separately for different outcomes or classes of outcomes.

We will assess the methods as:

  • low, high or unclear risk of bias for participants;
  • low, high or unclear risk of bias for personnel.

 

(3.2) Blinding of outcome assessment (checking for possible detection bias)

We will describe for each included study the methods used, if any, to blind outcome assessors from knowledge of which intervention a participant received. We will assess blinding separately for different outcomes or classes of outcomes.

We will assess methods used to blind outcome assessment as:

  • low, high or unclear risk of bias.

 

(4) Incomplete outcome data (checking for possible attrition bias due to the amount, nature and handling of incomplete outcome data)

We will describe for each included study, and for each outcome or class of outcomes, the completeness of data including attrition and exclusions from the analysis. We will state whether attrition and exclusions were reported and the numbers included in the analysis at each stage (compared with the total randomised participants), reasons for attrition or exclusion where reported, and whether missing data were balanced across groups or were related to outcomes. Where sufficient information is reported, or can be supplied by the trial authors, we will re-include missing data in the analyses which we undertake.

We will assess methods as:

  • low risk of bias (e.g. no missing outcome data; missing outcome data balanced across groups);
  • high risk of bias (e.g. numbers or reasons for missing data imbalanced across groups; ‘as treated’ analysis done with substantial departure of intervention received from that assigned at randomisation);
  • unclear risk of bias.

 

(5) Selective reporting (checking for reporting bias)

We will describe for each included study how we investigated the possibility of selective outcome reporting bias and what we found.

We will assess the methods as:

  • low risk of bias (where it is clear that all of the study’s pre-specified outcomes and all expected outcomes of interest to the review have been reported);
  • high risk of bias (where not all the study’s pre-specified outcomes have been reported; one or more reported primary outcomes were not pre-specified; outcomes of interest are reported incompletely and so cannot be used; study fails to include results of a key outcome that would have been expected to have been reported);
  • unclear risk of bias.

 

(6) Other bias (checking for bias due to problems not covered by (1) to (5) above)

We will describe for each included study any important concerns we have about other possible sources of bias.

We will assess whether each study was free of other problems that could put it at risk of bias:

  • low risk of other bias;
  • high risk of other bias;
  • unclear whether there is risk of other bias.

 

(7) Overall risk of bias

We will make explicit judgements about whether studies are at high risk of bias, according to the criteria given in the Cochrane Handbook (Higgins 2011). With reference to (1) to (6) above, we will assess the likely magnitude and direction of the bias and whether we consider it is likely to impact on the findings. We will explore the impact of the level of bias through undertaking sensitivity analyses - see Sensitivity analysis

 

Measures of treatment effect

 

Dichotomous data

For dichotomous data, we will present results as summary risk ratio with 95% confidence intervals. 

 

Continuous data

For continuous data, we will use the mean difference if outcomes are measured in the same way between trials. We will use the standardised mean difference to combine trials that measure the same outcome, but use different methods.

 

Unit of analysis issues

 

Cluster-randomised trials

We consider cluster-randomised trials as inappropriate for this research question.

 

Cross-over trials

We consider cross-over trials as inappropriate for this research question.

 

Multiple pregnancies

As infants from multiple pregnancies are not independent, we plan to use cluster trial methods in the analyses, where the data allow, and where multiples make up a substantial proportion of the trial population, to account for non-independence of variables (Gates 2004).

 

Multi-armed studies

If multi-armed studies are included in the review, we plan to combine groups where appropriate in order to create a single pair-wise comparison (e.g. creatine versus alternative neuroprotective treatments).

If an included trial has an intervention arm that is not relevant to the review question, we will comment on this in the table of 'Characteristics of included studies', and include in the review only the intervention and control groups that meet the eligibility criteria.

 

Dealing with missing data

For included studies, we will note levels of attrition. We will explore the impact of including studies with high levels of missing data in the overall assessment of treatment effect by using sensitivity analysis.

For all outcomes, we will carry out analyses, as far as possible, on an intention-to-treat basis, i.e. we will attempt to include all participants randomised to each group in the analyses, and all participants will be analysed in the group to which they were allocated, regardless of whether or not they received the allocated intervention. The denominator for each outcome in each trial will be the number randomised minus any participants whose outcomes are known to be missing.

 

Assessment of heterogeneity

We will assess statistical heterogeneity in each meta-analysis using the T², I² and Chi² statistics. We will regard heterogeneity as substantial if an I² is greater than 30% and either a T² is greater than zero, or there is a low P value (less than 0.10) in the Chi² test for heterogeneity.

 

Assessment of reporting biases

If there are 10 or more studies in the meta-analysis, we will investigate reporting biases (such as publication bias) using funnel plots. We will assess funnel plot asymmetry visually. If asymmetry is suggested by a visual assessment, we will perform exploratory analyses to investigate it.

 

Data synthesis

We will carry out statistical analysis using the Review Manager software (RevMan 2012). We will use fixed-effect meta-analysis for combining data where it is reasonable to assume that studies are estimating the same underlying treatment effect: i.e. where trials are examining the same intervention, and the trials’ populations and methods are judged sufficiently similar. If there is clinical heterogeneity sufficient to expect that the underlying treatment effects differ between trials, or if substantial statistical heterogeneity is detected, we will use random-effects meta-analysis to produce an overall summary, if an average treatment effect across trials is considered clinically meaningful. The random-effects summary will be treated as the average range of possible treatment effects and we will discuss the clinical implications of treatment effects differing between trials. If the average treatment effect is not clinically meaningful, we will not combine trials.

If we use random-effects analyses, the results will be presented as the average treatment effect with 95% confidence intervals, and the estimates of  T² and I².

 

Subgroup analysis and investigation of heterogeneity

We will perform separate comparisons for those trials comparing creatine with no treatment or a placebo, and those comparing creatine with an alternative neuroprotective agent.

If we identify substantial heterogeneity, we will investigate it using subgroup analyses and sensitivity analyses. We will consider whether an overall summary is meaningful, and if it is, use random-effects analysis to produce it.

Maternal characteristics, and characteristics of the intervention, are likely to affect health outcomes. We will carry out subgroup analyses, if sufficient data are available, based on:

  • gestational age at which the woman commenced creatine treatment (e.g. < 26 weeks versus 26 to < 28 weeks versus 28 to < 30 weeks versus 30 to < 32 weeks versus 32 to < 34 versus 34 to < 37 weeks versus 37 weeks and over);
  • reasons the mother was considered for creatine treatment (e.g. preterm versus growth-restricted fetus versus prolonged prelabour rupture of membrane versus increased risk of chorioamnionitis versus pre-eclampsia/eclampsia versus increased risk of perinatal asphyxia versus other);
  • total daily dose of creatine administered (e.g. low (≤ 1 g per day) versus moderate (> 1 g to ≤ 5 g per day) versus high (> 5 g per day));
  • mode of administration (e.g. intramuscular versus intravenous versus oral);
  • number of babies in utero (e.g. singleton versus multiple).

We will use primary outcomes in subgroup analyses.

We will assess subgroup differences by interaction tests available within RevMan (RevMan 2011). We will report the results of subgroup analyses quoting the χ2 statistic and P value, and the interaction test I² value.

 

Sensitivity analysis

We will carry out sensitivity analysis to explore the effects of trial quality assessed by allocation concealment and random sequence generation (considering selection bias), by omitting studies rated as 'high risk of bias' or 'unclear risk of bias' for these components. We will restrict this to the primary outcomes.

 

Acknowledgements

  1. Top of page
  2. Background
  3. Objectives
  4. Methods
  5. Acknowledgements
  6. Contributions of authors
  7. Declarations of interest
  8. Sources of support

As part of the pre-publication editorial process, this protocol has been commented on by four peers (an editor and three referees who are external to the editorial team) and the Group's Statistical Adviser.

The National Institute for Health Research (NIHR) is the largest single funder of the Cochrane Pregnancy and Childbirth Group. The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the NIHR, NHS or the Department of Health.

 

Contributions of authors

  1. Top of page
  2. Background
  3. Objectives
  4. Methods
  5. Acknowledgements
  6. Contributions of authors
  7. Declarations of interest
  8. Sources of support

Emily Bain drafted the first version of this protocol, with Dominic Wilkinson, Philippa Middleton, Caroline Crowther, Hayley Dickinson and David Walker making comments and contributing to the final draft.

 

Declarations of interest

  1. Top of page
  2. Background
  3. Objectives
  4. Methods
  5. Acknowledgements
  6. Contributions of authors
  7. Declarations of interest
  8. Sources of support

None known.

 

Sources of support

  1. Top of page
  2. Background
  3. Objectives
  4. Methods
  5. Acknowledgements
  6. Contributions of authors
  7. Declarations of interest
  8. Sources of support
 

Internal sources

  • ARCH: Australian Research Centre for Health of Women and Babies, Robinson Institute, The University of Adelaide, Australia.

 

External sources

  • National Health and Medical Research Council, Australia.

References

Additional references

  1. Top of page
  2. Abstract
  3. Background
  4. Objectives
  5. Methods
  6. Acknowledgements
  7. Contributions of authors
  8. Declarations of interest
  9. Sources of support
  10. Additional references
ACPR Group 2009
  • Australian Cerebral Palsy Register (ACPR) Group. Report of the Australian Cerebral Palsy Register, Birth Years 1993-2003. Cerebral Palsy Institute 2009.
Adcock 2002
  • Adcock KH, Nedelcu J, Loenneker T, Martin E, Wallimann T, Wagner BP. Neuroprotection of creatine supplementation in neonatal rats with transient cerebral hypoxia-ischemia. Developmental Neuroscience 2002;24(5):382-8.
Bax 2005
  • Bax M, Goldstein M, Rosenbaum P, Leviton A, Paneth N, Dan B, et al. Proposed definition and classification of cerebral palsy. Developmental Medicine and Child Neurology 2005;47:571-6.
Beal 2011
Blair 2006
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