The title page should:
- present a title that includes, if appropriate, the study design
- list the full names and institutional addresses for all authors
- if a collaboration group should be listed as an author, please list the Group name as an author. If you would like the names of the individual members of the Group to be searchable through their individual PubMed records, please include this information in the “Acknowledgements” section in accordance with the instructions below
- indicate the corresponding author
The abstract of the manuscript should not exceed 350 words and must be structured into separate sections. (non-structured abstract is also acceptable in case of a narrative review) :
- Background: the context and purpose of the review, including the review question.
- Methods: how the review was performed, including data sources, study eligibility criteria, participants and interventions; study appraisal and statistical tests used.
- Results: the main findings, including results of search and assessment of evidence base.
- Conclusions: brief summary and potential implications for policy/management and research.
- Registration: authors are asked to provide registration information about the meta-analysis, including a registration number, if available.
- Trial registration: if your meta-analysis reports the results of a controlled health care intervention, please list your trial registry, along with the unique identifying number (e.g. Trial registration: Current Controlled Trials ISRCTN73824458). Please note that there should be no space between the letters and numbers of your trial registration number. See our editorial policies for more information on trial registration.
Three to ten keywords representing the main content of the article.
The Main text should consist of following sections.
This section should be written in a way that is accessible to researchers without specialist knowledge in that area and must clearly explain why a meta-analysis on this topic was needed and what it aimed to contribute to the field. The section should end with the main question(s) of the review and a brief statement of what is being reported with reference to participants, interventions, outcomes and study design (PICO).
You may also wish to use this section to mention discussions that have been organized with stakeholders and the role of stakeholders in the formulation of the question should be described and explained.
This should include a clear description of all stages of the review process and the design of the review, the setting, the type of participants or materials involved, and the type of analysis, including:
- Searches: search terms and languages, comprehensiveness and effectiveness of the search, search strings and/or combinations of searches, databases, searches for grey literature i.e. contacts, searches on internet, use of specific search terms or strings, filtering or limitations and literature provided directly by stakeholders. Tables and lists of bibliographies, search terms and databases or other information can be provided as additional files.
- Study inclusion and exclusion criteria: provide explanation about the rationale followed to include/exclude articles, including specific study characteristics (PICO, length of follow-up, etc), specific report characteristics (year of publication, language, etc) and study selection procedures (screening).
- Potential effect modifiers and reasons for heterogeneity: potential effect modifiers and reasons for heterogeneity should be discussed here and should be identified by discussions with stakeholders and experts as early as possible.
- Study quality assessment: how you are planning to or have assessed the study quality. Describe the methods used for assessing risk of bias of individual studies, including specification of whether this was done at the study or outcome level, and how this information was used in any data synthesis. Discussions with experts and stakeholders at early stages should help identify the methodological standards for the topic of interest.
- Data extraction strategy: what sort of data do you expect to find or have finally extracted and how you computed effect sizes and their variability.
- Data synthesis and presentation: report the qualitative and quantitative methods you used to synthesize and present the data, as well as elements you anticipate or have identified such as effect modifiers, type of methodologies and their current appraisal, biases etc. Describe any additional analyses (sensitivity, sub-group analysis, meta-analysis) done and indicate which were pre-specified.
For an example of how a search strategy should be presented, see the Cochrane Reviewer's Handbook.
If existing, make reference to an accessible review protocol. Authors are additionally asked to provide registration information about the meta-analysis, including a registration number, if available.
Results and discussion
The results and discussion should be presented separately. The results and discussion sections may also be broken into subsections with short, informative headings. Results of each stage of the review should be clearly reported, including:
- Review statistics: i.e. the number of articles found in the search and included at each inclusion/exclusion level, along with any relevant information on the distribution of the studies found (e.g. geographical location and source of study). A flow diagram (conforming to relevant reporting guidelines e.g. PRISMA) reporting the inclusion/exclusion process should be presented.
- Study quality assessment: a summary of what the different studies found, the confidence in the results of the different studies, what biases were present in each of the studies, and quality of the different studies needs to be included.
- Quantitative synthesis/Meta-analysis (when possible): if effect sizes can be calculated for the included studies which measure similar outcomes then a quantitative assessment of these effect sizes should be carried out, including summary statistics of the mean effect, confidence in the mean, the range of effects and sources of heterogeneity in the effect. Please note, if there are a large number of confounding variables or outcome measures such that effect sizes which measure the same outcome cannot be calculated then a summary statistic should not be calculated.
- Evidence of effectiveness: a detailed evaluation of the information on the impact of the intervention that the papers give, what evidence of an effect is there and what is the strength of the evidence including the critical appraisal of the articles. In addition, there needs to be an unbiased assessment of what level of evidence the studies provide.
Speculation within the discussion section should be limited only to suggestions for further enquiry or analysis e.g. potential reasons for heterogeneity in outcome, including the possible effect modifiers and impact of variation in the study variables such as experimental design. A section on review limitations should normally be included, including limitations due to the search strategy and bias in articles found, as well as limitations due to underlying bias within studies found such as baseline bias and confounding variables. Gaps in the information provided by the studies should also be highlighted.
This should state clearly the main conclusions of the article and give a clear explanation of the implication for policy/management summarizing the state of the evidence base and the extent to which this informs decision making in relation to the review question and any measure of uncertainty surrounding the outcome. In addition, it should also provide a clear explanation on the implication for research summarizing the shortcomings of the current evidence base in terms of knowledge gaps and the need for primary research.
List of abbreviations
If abbreviations are used in the text they should be defined in the text at first use, and a list of abbreviations should be provided.
All manuscripts must contain the following sections under the heading 'Declarations':
- Ethics approval and consent to participate
- Consent for publication
- Availability of data and material
- Competing interests
- Authors' contributions
- Authors' information (optional)
Please see below for details on the information to be included in these sections.
If any of the sections are not relevant to your manuscript, please include the heading and write 'Not applicable' for that section.
Ethics approval and consent to participate
Manuscripts reporting studies involving human participants, human data or human tissue must:
- include a statement on ethics approval and consent (even where the need for approval was waived)
- include the name of the ethics committee that approved the study and the committee’s reference number if appropriate
Studies involving animals must include a statement on ethics approval.
See our editorial policies for more information.
If your manuscript does not report on or involve the use of any animal or human data or tissue, please state “Not applicable” in this section.
Consent for publication
If your manuscript contains any individual person’s data in any form (including individual details, images or videos), consent to publish must be obtained from that person, or in the case of children, their parent or legal guardian. All presentations of case reports must have consent to publish.
You can use your institutional consent form if you prefer. You should not send the form to us on submission, but we may request to see a copy at any stage (including after publication).
See our editorial policies for more information on consent for publication.
If your manuscript does not contain data from any individual person, please state “Not applicable” in this section.
Availability of data and materials
All manuscripts must include an ‘Availability of data and materials’ statement. Data availability statements should include information on where data supporting the results reported in the article can be found including, where applicable, hyperlinks to publicly archived datasets analysed or generated during the study. By data we mean the minimal dataset that would be necessary to interpret, replicate and build upon the findings reported in the article. We recognise it is not always possible to share research data publicly, for instance when individual privacy could be compromised, and in such instances data availability should still be stated in the manuscript along with any conditions for access.
Data availability statements can take one of the following forms (or a combination of more than one if required for multiple datasets):
- The datasets generated and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]
- The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
- All data generated or analysed during this study are included in this published article [and its supplementary information files].
- The datasets generated and/or analysed during the current study are not publicly available due [REASON WHY DATA ARE NOT PUBLIC] but are available from the corresponding author on reasonable request.
- Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
- The data that support the findings of this study are available from [third party name] but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of [third party name].
- Not applicable. If your manuscript does not contain any data, please state 'Not applicable' in this section.
More examples of template data availability statements, which include examples of openly available and restricted access datasets, are available here.
SpringerOpen also requires that authors cite any publicly available data on which the conclusions of the paper rely in the manuscript. Data citations should include a persistent identifier (such as a DOI) and should ideally be included in the reference list. Citations of datasets, when they appear in the reference list, should include the minimum information recommended by DataCite and follow journal style. Dataset identifiers including DOIs should be expressed as full URLs. For example:
Hao Z, AghaKouchak A, Nakhjiri N, Farahmand A. Global integrated drought monitoring and prediction system (GIDMaPS) data sets. figshare. 2014. http://dx.doi.org/10.6084/m9.figshare.853801
With the corresponding text in the Availability of data and materials statement:
The datasets generated during and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS].[Reference number]
All financial and non-financial competing interests must be declared in this section.
See our editorial policies for a full explanation of competing interests. If you are unsure whether you or any of your co-authors have a competing interest please contact the editorial office.
Please use the authors’ initials to refer to each authors' competing interests in this section.
If you do not have any competing interests, please state "The authors declare that they have no competing interests" in this section.
All sources of funding for the research reported should be declared. The role of the funding body in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript should be declared.
The individual contributions of authors to the manuscript should be specified in this section. Guidance and criteria for authorship can be found in our editorial policies.
Please use initials to refer to each author's contribution in this section, for example: "FC analyzed and interpreted the patient data regarding the hematological disease and the transplant. RH performed the histological examination of the kidney, and was a major contributor in writing the manuscript. All authors read and approved the final manuscript."
Please acknowledge anyone who contributed towards the article who does not meet the criteria for authorship including anyone who provided professional writing services or materials.
Authors should obtain permission to acknowledge from all those mentioned in the Acknowledgements section.
See our editorial policies for a full explanation of acknowledgements and authorship criteria.
If you do not have anyone to acknowledge, please write "Not applicable" in this section.
Group authorship (for manuscripts involving a collaboration group): if you would like the names of the individual members of a collaboration Group to be searchable through their individual PubMed records, please ensure that the title of the collaboration Group is included on the title page and in the submission system and also include collaborating author names as the last paragraph of the “Acknowledgements” section. Please add authors in the format First Name, Middle initial(s) (optional), Last Name. You can add institution or country information for each author if you wish, but this should be consistent across all authors.
Please note that individual names may not be present in the PubMed record at the time a published article is initially included in PubMed as it takes PubMed additional time to code this information.
This section is optional.
You may choose to use this section to include any relevant information about the author(s) that may aid the reader's interpretation of the article, and understand the standpoint of the author(s). This may include details about the authors' qualifications, current positions they hold at institutions or societies, or any other relevant background information. Please refer to authors using their initials. Note this section should not be used to describe any competing interests.
Endnotes should be designated within the text using a superscript lowercase letter and all notes (along with their corresponding letter) should be included in the Endnotes section. Please format this section in a paragraph rather than a list.