Study Design
This is a systematic review and meta-analysis seeking to evaluate the aetiology and prognosis of non-traumatic coma in African children.
Protocol Development and Registration
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) was used to develop this protocol (Table 1), and we will use elements of the Cochrane Handbook of Systematic Reviews to guide the systematic review.(14, 15) An adapted Population, Intervention, Comparator, Outcome and Study Designs (PICOS) framework was used to develop the inclusion and exclusion criteria.(13) This review is registered in PROSPERO International Prospective Register of Systematic Reviews (CRD42020141937).
Table 1
Section/Topic
|
#
|
Checklist Item
|
Information Reported
|
Line Number(s)
|
Yes
|
No
|
ADMINISTRATIVE INFORMATION
|
Title
|
Identification
|
1a
|
Identify the report as a protocol of a systematic review
|
Yes
|
|
1–2
|
Update
|
1b
|
If the protocol is for an update of a previous systematic review, identify as such
|
|
No
|
N/A
|
Registration
|
2
|
If registered, provide the name of the registry (e.g., PROSPERO) and registration number in the Abstract
|
Yes
|
|
4
|
Authors
|
Contact
|
3a
|
Provide name, institutional affiliation, and e-mail address of all protocol authors; provide physical mailing address of corresponding author
|
Yes
|
|
7–37
|
Contributions
|
3b
|
Describe contributions of protocol authors and identify the guarantor of the review
|
Yes
|
|
324–328
|
Amendments
|
4
|
If the protocol represents an amendment of a previously completed or published protocol, identify as such and list changes; otherwise, state plan for documenting important protocol amendments
|
|
No
|
N/A
|
Support
|
Sources
|
5a
|
Indicate sources of financial or other support for the review
|
Yes
|
|
318–321
|
Sponsor
|
5b
|
Provide name for the review funder and/or sponsor
|
Yes
|
|
320–321
|
Role of Sponsor/ Funder
|
5c
|
Describe roles of funder(s), sponsor(s), and/or institution(s), if any, in developing the protocol
|
Yes
|
|
320–321
|
INTRODUCTION
|
Rationale
|
6
|
Describe the rationale for the review in the context of what is already known
|
Yes
|
|
98–129
|
Objectives
|
7
|
Provide an explicit statement of the question(s) the review will address with reference to participants, interventions, comparators, and outcomes (PICO)
|
Yes
|
|
131–140
|
METHODS
|
Eligibility Criteria
|
8
|
Specify the study characteristics (e.g., PICO, study design, setting, time frame) and report characteristics (e.g., years considered, language, publication status) to be used as criteria for eligibility for the review
|
Yes
|
|
163–171
|
Information Sources
|
9
|
Describe all intended information sources (e.g., electronic databases, contact with study authors, trial registers, or other grey literature sources) with planned dates of coverage
|
Yes
|
|
174–182
|
Search Strategy
|
10
|
Present draft of search strategy to be used for at least one electronic database, including planned limits, such that it could be repeated
|
Yes
|
|
Table 2 (Appendix)
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STUDY RECORDS
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Data Management
|
11a
|
Describe the mechanism(s) that will be used to manage records and data throughout the review
|
Yes
|
|
180–182
|
Selection Process
|
11b
|
State the process that will be used for selecting studies (e.g., two independent reviewers) through each phase of the review (i.e., screening, eligibility, and inclusion in meta-analysis)
|
Yes
|
|
185–196
|
Data Collection Process
|
11c
|
Describe planned method of extracting data from reports (e.g., piloting forms, done independently, in duplicate), any processes for obtaining and confirming data from investigators
|
Yes
|
|
199–226
|
Data Items
|
12
|
List and define all variables for which data will be sought (e.g., PICO items, funding sources), any pre-planned data assumptions and simplifications
|
Yes
|
|
212–226; Appendix A
|
Outcomes and Prioritization
|
13
|
List and define all outcomes for which data will be sought, including prioritization of main and additional outcomes, with rationale
|
Yes
|
|
156–160; 207–210
|
Risk of Bias in Individual Studies
|
14
|
Describe anticipated methods for assessing risk of bias of individual studies, including whether this will be done at the outcome or study level, or both; state how this information will be used in data synthesis
|
Yes
|
|
229–241
|
DATA
|
Synthesis
|
15a
|
Describe criteria under which study data will be quantitatively synthesized
|
Yes
|
|
244–267
|
15b
|
If data are appropriate for quantitative synthesis, describe planned summary measures, methods of handling data, and methods of combining data from studies, including any planned exploration of consistency (e.g., I 2, Kendall’s tau)
|
Yes
|
|
244–267
|
15c
|
Describe any proposed additional analyses (e.g., sensitivity or subgroup analyses, meta-regression)
|
Yes
|
|
261–266
|
15d
|
If quantitative synthesis is not appropriate, describe the type of summary planned
|
|
No
|
N/A
|
Meta-bias(es)
|
16
|
Specify any planned assessment of meta-bias(es) (e.g., publication bias across studies, selective reporting within studies)
|
Yes
|
|
248–261
|
Confidence in Cumulative Evidence
|
17
|
Describe how the strength of the body of evidence will be assessed (e.g., GRADE)
|
Yes
|
|
238–241
|
Outcomes of Interest
The primary outcome of this study is to determine the aetiology (infectious and non-infectious) of non-traumatic coma in African children, with pooled prevalence estimates of causes (e.g. malaria). The secondary outcomes are to determine the overall estimates of morbidity and mortality of all-cause non-traumatic coma and disease-specific states of non-traumatic coma, where available. These outcomes will provide critical data needed to inform future directions in research.
Eligibility Criteria
Systematic searches, using multiple databases (see below) from inception will identify prospective and retrospective studies (randomised controlled trials, cluster randomised trials, cohort studies, cross-sectional, and case-control studies) recruiting children (1 month-16 years) with non-traumatic coma (defined by Blantyre Coma Score ≤ 2 or comparable alternative) from any African country. Disease-specific studies (e.g. malaria) will be included given that coma is associated and reported. Case reports, case series, commentaries, and editorials will be excluded from the review, and we will exclude all publications that do not contain primary data. This rationale for such a broad geographical and aetiological eligibility is to ensure the most comprehensive investigation and analysis of non-traumatic coma (including disease specific studies) in African children to date.
Electronic Search Strategy
We will search the MEDLINE, Embase, and Scopus databases from inception onwards with no date limits. The complete MEDLINE search strategy is included in Table 2. Searches will be limited to English and French articles. We will search conference proceedings and databases of ongoing studies to identify studies not found in the databases listed above; grey literature will not be included. When appropriate, attempts to contact study authors for primary data will be made. Reference lists of eligible studies and relevant systematic reviews will be searched to identify additional studies to be considered for inclusion. All records identified from the search will be imported to EndNote X9.3.1 (Clarivate Analytics, Philadelphia, PA), a citation management programme, following which duplicates will be removed.
Table 2
Number
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Search terms
|
1
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Coma* OR consciousness OR unconscious OR “non-traumatic coma” OR “non traumatic coma” OR “nontraumatic coma” OR encephalopathy OR “febrile encephalopathy” NOT “head injury”
|
2
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aetiology OR aetiologies OR etiology OR etiologies OR cause OR causes OR causality
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3
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Paediatric OR pediatric OR child*
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4
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Africa OR “sub Saharan Africa” OR “sub-Saharan Africa” OR Algeria OR Angola OR Benin OR Botswana OR “Burkina Faso” OR Burundi OR Cameroon OR “Cape Verde” OR “Central African Republic” OR Chad OR Comoros OR “Republic of the Congo” OR “Democratic Republic of the Congo” OR “Cote d’Ivoire" OR Djibouti OR Egypt OR “Equatorial Guinea” OR Eritrea OR Eswatini OR Ethiopia OR Gabon OR “The Gambia” OR Ghana OR Guinea OR “Guinea-Bissau" OR Kenya OR Lesotho OR Liberia OR Libya OR Madagascar OR Malawi OR Mali OR Mauritania OR Mauritius OR Morocco OR Mozambique OR Namibia OR Niger OR Nigeria OR Rwanda OR “Sao Tome and Principe” OR Senegal OR Seychelles OR “Sierra Leone” OR Somalia OR “South Africa” OR “South Sudan” OR Sudan OR Swaziland OR Tanzania OR Togo OR Tunisia OR Uganda OR Zambia OR Zimbabwe
|
5
|
#1 AND #2 AND #3 AND #4
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*Search was limited to English and French; timeline from inception onwards with no date restrictions. |
Screening and Selection Criteria
Two authors (SR and CF) will independently screen the title and abstract of each publication, and disagreements will be resolved by consensus. References for which the full text is reviewed will include: (1) a mention of coma, children (1 month-16 years) and non-traumatic aetiology and (2) recruitment in an African setting for which it is possible to disaggregate a total number of children with non-traumatic coma and possible to extract aetiology or outcome data. Those articles obviously irrelevant to the review or which do not clearly meet the inclusion criteria will be excluded. The number of records screened and excluded will be recorded.
The full text of the identified studies will be individually assessed for eligibility against the predetermined criteria by two reviewers (two out of CF, SR, and AB for each article) in duplicate, with disagreements resolved by consensus. Reasons for exclusion of full-text articles will be documented.
Data Extraction
We will use the Cochrane Effective Practice and Organisation of Care (EPOC) standard data collection form and adapt it for study characteristics and outcome data.(17) Two review authors will pilot the form on a randomly selected subset of 10% of included studies.(15, 18) Reviewers will extract data independently and in duplicate from each eligible study. Any disagreements will be resolved by consensus or discussed with a fourth reviewer (MG) if consensus is not achieved. Attempts to contact authors will be made to obtain missing outcome data or other key study characteristics. The full data extraction form can be found in Appendix A.
The primary outcome has been defined as the aetiology of non-traumatic coma, including syndromic diagnosis and the identification of causative pathogens. Secondary outcomes include mortality rates and neurodisability, stratified with both the clinical syndromes and causative pathogens.
The following information will be extracted from each included trial:
(1) Author and Publication Details: Name of first author, corresponding author, publication year and journal, PubMed and registration ID, and funding source.
(2) Study Characteristics: Study design, duration, location(s), setting, timing of data collection (prospective or retrospective), methods of recruitment, duration of follow-up and statistical methods, completeness of outcome data, and Cochrane variables of bias.(16)
(3) Participants: Number, age range, mean age, gender, definition of coma, inclusion and exclusion criteria, withdrawals and exclusions, method of diagnosis (microbiological methods used, including culture and polymerase chain reaction (PCR) methods), comorbidities, and other relevant characteristics, such as human immunodeficiency virus (HIV) and nutritional status.
(4) Outcome: Clinical diagnosis, microbiological diagnosis, clinical outcome, such as fatality or neurological and/or neurocognitive sequelae for each clinical syndrome, and microbiological diagnosis. Neurological sequelae stratified into subtypes including motor, vision, hearing, epilepsy, and cognitive-behavioural.
Assessment of Risk of Bias
Three reviewers (CF, SR, and AB) will independently conduct a bias risk assessment at the outcome and study-level to assess the quality of included studies. The validated Cochrane Collaboration Risk of Bias tool will be used as a framework upon which to guide quality assessments for randomised-controlled trials.(16) A modified Newcastle-Ottawa Scale (NOS), which incorporates the Critical Appraisal Skills Programme (CASP) checklist (a non-validated tool) and Risk of Bias in Non-Randomized Studies - of Interventions (ROBINS-I) (a validated tool), will be used for all other study types (Appendix B).(19, 20) Risk of bias for each domain will be recorded as high (1), low (0), or unclear. Any disagreements will be resolved by consensus or discussed with a fourth reviewer (MG) if consensus is not achieved. The risk of bias for included studies will be described throughout data synthesis. Lastly, since there is no gold standard to assess risk of bias for observational studies, the modified NOS will be used to assess the strength of the body of evidence. The NOS is a commonly used tool for meta-analysis that, despite its limitations (including subjectivity), will best capture risk of bias in our study cohort.
Data Synthesis
A narrative synthesis of the data will also be provided, including a summary and explanation of characteristics and key summary tables and findings of included studies per outcome. For aetiology analyses, we will include all studies regardless of coma definition, and we will include usual care and intervention arms of RCTs. Heterogeneity will be quantified with τ2, I2, and Cochran’s Q test.(15) Aetiology data will be summarised by random effects meta-analysis. Because of concerns about meta-analysis of proportions on very heterogeneous populations, we also plan a meta-analysis of outcome stratified by inclusion criteria (e.g. coma measure). Mortality will be presented as a simple proportion with exact binomial confidence intervals, and pooled mortality estimates will be calculated using generalised linear mixed models (a normal-binomial model). For interventional studies, the outcomes in the usual care arm of the study only will be included in these estimates. There will also be a random effects meta-analysis of in-hospital and post-discharge mortality. Exploratory meta-regression will be undertaken to explore heterogeneity by including covariates as fixed effects (e.g. proportion of patients infected with HIV and malnutrition) and testing for improved model fit by likelihood ratio testing of nested models. A p-value of < 0.05 will be considered a statistically significantly improved fit. Summary estimates of one-month mortality, where available, will be considered together and presented in the same way. Pooled prevalence estimates of malaria, acute bacterial or viral meningitis, encephalitis, and bloodstream infection will be calculated using random effects meta-analysis as above. Subgroup analyses will include meta-analysis of severe coma (very low coma score on admission), less severe coma (higher coma score on admission) and disease-specific aetiologies (malaria, bacterial meningitis, viral meningitis or encephalitis, or blood stream infection). Separately, a sensitivity analysis will be performed at the outcome-level using only high-quality studies.(15) High-quality studies – those graded low risk of bias across all domains – will be defined for each study type. We will provide a table of study characteristics.