The PRISMA 2020 reporting guideline for writing a systematic review and meta-analysis

The PRISMA 2020 reporting guideline helps authors write systematic reviews that can be understood and used by a wide audience. This page summarises PRISMA 2020 and how it can be used. Each guideline item links to more information, examples, and relevant training.

PRISMA 2020: The Preferred Reporting Items for Systematic reviews and Meta-Analyses

Version: 1.1. This is the latest version ✅

How to use this reporting guideline

You can use reporting guidelines throughout your research process.

  • When writing: Consider using a writing guide to draft your manuscript or protocol.
  • After writing: Complete a checklist and include it with your journal submission.
  • To learn: Consult the guidance whenever you need it.

However you use PRISMA 2020, please cite it.

Applicability criteria

You can use PRISMA 2020 if you are writing a systematic review of studies that evaluate the effects of health interventions, irrespective of the design of the included studies.

You can use this reporting guideline regardless of whether your systematic review included a synthesis (such as pairwise meta-analysis or other statistical synthesis methods) or not (for example, because only one eligible study is identified).

Many of the items are also applicable to:

  • writing systematic reviews evaluating other kinds of interventions (such as social or educational interventions)
  • systematic reviews with objectives other than evaluating interventions (such as evaluating aetiology, prevalence, or prognosis).

You can also use this reporting guideline to review the reporting of a systematic review, but not for appraising the quality of its design or conduct.

Do not use PRISMA 2020 for:

There are several extensions which can be used in addition to PRISMA , these include:

Other reporting guidelines for different types of systematic review should be used instead of PRISMA, including:

  • PRISMA-Lsr for writing living systematic reviews
  • PRISMA-Scr for writing systematic scoping reviews
  • PRISMA-Dta for writing systematic reviews of diagnostic test accuracy studies
  • PRISMA-Ipd for writing systematic reviews using individual participant data

Other extensions can be found here

For appraising research, consider using the CASP Systematic Reviews with Meta-Analysis of RCTs Checklist

Summary of guidance

Although you should describe all items below, you can decide how to order and prioritize items most relevant to your study, findings, context, and readership whilst keeping your writing concise. You can read how PRISMA 2020 was developed in the FAQs.

Item name What to write
 Title and Abstract
1. Title Identify the report as a systematic review.
2. Abstract Include all items from the PRISMA 2020 for Abstracts checklist.
 Introduction
3. Rationale Describe the rationale for the review in the context of existing knowledge.
4. Objectives Provide an explicit statement of the objective(s) or question(s) the review addresses.
 Methods
5. Eligibility criteria Specify the inclusion and exclusion criteria for the review and how studies were grouped for the syntheses.
6. Information sources

Specify all databases, registers, websites, organisations, reference lists, and other sources searched or consulted to identify studies. Specify the date when each source was last searched or consulted

  • Specify the date when each source (such as database, register, website, organisation) wa…
8. Search

Present the full search strategies for all databases, registers, and websites, including any filters and limits used

  • Provide the full line by line search strategy as run in each database with a sophisticated interface (such as Ovid), or the sequence of terms that were used to search si…
8. Selection Process Specify the methods used to decide whether a study met the inclusion criteria of the review, including how many reviewers screened each record and each report retrieved, whether they worked independently, and, if applicable, details of automation tools used in the process.
9. Data collection process

Specify the methods used to collect data from reports, including how many reviewers collected data from each report, whether they worked independently, any processes for obtaining or confirming data from study investigators, and, if applicable, details of automation tools used in the process

  • R…
 10. Data Items
10a. Outcomes

List and define all outcomes for which data were sought. Specify whether all results that were compatible with each outcome domain in each study were sought (for example, for all measures, time points, analyses), and, if not, the methods used to decide which results to collect.

  • List and de…
10b. Other Variables

List and define all other variables for which data were sought (such as participant and intervention characteristics, funding sources). Describe any assumptions made about any missing or unclear information

  • List and define all other variables for which data were sought. It may be sufficien…
11. Risk of bias in individual studies

Specify the methods used to assess risk of bias in the included studies, including details of the tool(s) used, how many reviewers assessed each study and whether they worked independently, and, if applicable, details of automation tools used in the process.

  • Specify the tool(s) (and version) u…
12. Effect measures

Specify for each outcome the effect measure(s) (such as risk ratio, mean difference) used in the synthesis or presentation of results.

  • Specify for each outcome or type of outcome (such as binary, continuous) the effect measure(s) (such as risk ratio, mean difference) used in the synthe…
 13. Synthesis Methods
13a. Deciding which studies were eligible for each synthesis Describe the processes used to decide which studies were eligible for each synthesis (such as tabulating the study intervention characteristics and comparing against the planned groups for each synthesis described in item 5.
13b. Data preparation methods

Describe any methods required to prepare the data for presentation or synthesis, such as handling of missing summary statistics or data conversions.

  • Report any methods required to prepare the data collected from studies for presentation or synthesis, such as handling of missing summary…
13c. Methods for tabulating or displaying results

Describe any methods used to tabulate or visually display results of individual studies and syntheses

  • Report chosen tabular structure(s) used to display results of individual studies and syntheses, along with details of the data presented.

  • Report chosen graphical methods used to v…

13d. Synthesis methods

Describe any methods used to synthesise results and provide a rationale for the choice(s). If meta-analysis was performed, describe the model(s), method(s) to identify the presence and extent of statistical heterogeneity, and software package(s) used.

  • If statistical synthesis methods were used…
13e. Methods for exploring heterogeneity

Describe any methods used to explore possible causes of heterogeneity among study results (such as subgroup analysis, meta-regression).

  • If methods were used to explore possible causes of statistical heterogeneity, specify the method used (such as subgroup analysis, meta-regression).

-…

13f. Sensitivitiy analyses

Describe any sensitivity analyses conducted to assess robustness of the synthesised results.

  • If sensitivity analyses were performed, provide details of each analysis (such as removal of studies at high risk of bias, use of an alternative meta-analysis model).

  • If any sensitivity an…

14. Reporting bias assessment

Describe any methods used to assess risk of bias due to missing results in a synthesis (arising from reporting biases)

  • Specify the methods (tool, graphical, statistical, or other) used to assess the risk of bias due to missing results in a synthesis (arising from reporting biases).

15. Certainty assessment

Describe any methods used to assess certainty (or confidence) in the body of evidence for an outcome

  • Specify the tool or system (and version) used to assess certainty in the body of evidence.

  • Report the factors considered (such as precision of the effect estimate, consistency of f…

 Results
 16. Study Selection
16a. Results of the search and selection process Describe the results of the search and selection process, from the number of records identified in the search to the number of studies included in the review, ideally using a flow diagram
16b. Excluded studies

Cite studies that might appear to meet the inclusion criteria, but which were excluded, and explain why they were excluded.

  • Cite studies that might appear to meet the inclusion criteria, but which were excluded, and explain why they were excluded.
17. Study characteristics

Cite each included study and present its characteristics.

  • Cite each included study.
  • Present the key characteristics of each study in a table or figure (considering a format that will facilitate comparison of characteristics across the studies).
18. Risk of bias in studies

Present assessments of risk of bias for each included study

  • Present tables or figures indicating for each study the risk of bias in each domain/component/item assessed and overall study-level risk of bias.
  • Present justification for each risk of bias judgment—for example, in t…
19. Results of individual studies

For all outcomes, present for each study (a) summary statistics for each group (where appropriate) and (b) an effect estimate and its precision (such as confidence/credible interval), ideally using structured tables or plots

  • For all outcomes, irrespective of whether statistical synthesis w…
 20. Results of Synthesis
20a. Summary of studies

For each synthesis, briefly summarise the characteristics and risk of bias among contributing studies.

  • Provide a brief summary of the characteristics and risk of bias among studies contributing to each synthesis (meta-analysis or other). The summary should focus only on study character…
20b. Statistical results

Present results of all statistical syntheses conducted. If meta-analysis was done, present for each the summary estimate and its precision (such as confidence/credible interval) and measures of statistical heterogeneity. If comparing groups, describe the direction of the effect.

  • Report results…
20c. Heterogeneity

Present results of all investigations of possible causes of heterogeneity among study results.

  • If investigations of possible causes of heterogeneity were conducted:

    • present results regardless of the statistical significance, magnitude, or direction of effect modification. …
20d. Sensitivity analyses

Present results of all sensitivity analyses conducted to assess the robustness of the synthesised results

  • If any sensitivity analyses were conducted:

    • report the results for each sensitivity analysis.

    • comment on how robust the main analysis was given the results of all…

21. Risk of reporting biases in syntheses

Present assessments of risk of bias due to missing results (arising from reporting biases) for each synthesis assessed

  • Present assessments of risk of bias due to missing results (arising from reporting biases) for each synthesis assessed.

  • If a tool was used to assess risk of bias due …

22. Certainty of evidence

Present assessments of certainty (or confidence) in the body of evidence for each outcome assessed

  • Report the overall level of certainty in the body of evidence (such as high, moderate, low, or very low) for each important outcome.

  • Provide an explanation of reasons for rating down (or…

 Discussion
 23. Discussion
23a. General interpretation of the results

Provide a general interpretation of the results in the context of other evidence

  • Provide a general interpretation of the results in the context of other evidence.
23b. Limitations of included evidence

Discuss any limitations of the evidence included in the review

  • Discuss any limitations of the evidence included in the review.
23c. Limitations of the review processes

Discuss any limitations of the review processes used

  • Discuss any limitations of the review processes used and comment on the potential impact of each limitation.
23d. Implications

Discuss implications of the results for practice, policy, and future research

  • Discuss implications of the results for practice and policy.

  • Make explicit recommendations for future research.

 Other Information
 24. Registration and Protocol
24a. Registration

Provide registration information for the review, including register name and registration number, or state that the review was not registered

  • Provide registration information for the review, including register name and registration number, or state that the review was not registered.
24b. Protocol

Indicate where the review protocol can be accessed, or state that a protocol was not prepared

  • Indicate where the review protocol can be accessed (such as by providing a citation, DOI, or link) or state that a protocol was not prepared.
24c. Amendments

Describe and explain any amendments to information provided at registration or in the protocol

  • Report details of any amendments to information provided at registration or in the protocol, noting: (a) the amendment itself, (b) the reason for the amendment, and (c) the stage of the…
25. Support

Describe sources of financial or non-financial support for the review, and the role of the funders or sponsors in the review

  • Describe sources of financial or non-financial support for the review, specifying relevant grant ID numbers for each funder. If no specific financial or non-fina…
26. Competing Interests

Declare any competing interests of review authors

  • Disclose any of the authors’ relationships or activities that readers could consider pertinent or to have influenced the review.

  • If any authors had competing interests, report how they were managed for particular review processes.

27. Availability of data, code, and other materials

Report which of the following are publicly available and where they can be found: template data collection forms; data extracted from included studies; data used for all analyses; analytic code; any other materials used in the review

  • Report which of the following are publicly available: templa…

We like publishing transparent research because we think it’s more likely to be used and cited. That’s why we ask authors to use reporting guidelines.

Robin Lavery

Editor, International Journal of World Medicine

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Systematic_review

A review that uses explicit, systematic methods to collate and synthesize findings of studies that address a clearly formulated question.

Source

Statistical synthesis

The combination of quantitative results of two or more studies. This encompasses meta-analysis of effect estimates (described below) and other methods, such as combining P values, calculating the range and distribution of observed effects, and vote counting based on the direction of effect (see McKenzie and Brennan for a description of each method)

Meta-analysis of effect estimates

A statistical technique used to synthesize results when study effect estimates and their variances are available, yielding a quantitative summary of results.

Source

Outcome

An event or measurement collected for participants in a study (such as quality of life, mortality).

Result

The combination of a point estimate (such as a mean difference, risk ratio or proportion) and a measure of its precision (such as a confidence/credible interval) for a particular outcome.

Reports

Documents (paper or electronic) supplying information about a particular study. A report could be a journal article, preprint, conference abstract, study register entry, clinical study report, dissertation, unpublished manuscript, government report, or any other document providing relevant information.

Record

The title or abstract (or both) of a report indexed in a database or website (such as a title or abstract for an article indexed in Medline). Records that refer to the same report (such as the same journal article) are “duplicates”; however, records that refer to reports that are merely similar (such as a similar abstract submitted to two different conferences) should be considered unique.

Study

An investigation, such as a clinical trial, that includes a defined group of participants and one or more interventions and outcomes. A “study” might have multiple reports. For example, reports could include the protocol, statistical analysis plan, baseline characteristics, results for the primary outcome, results for harms, results for secondary outcomes, and results for additional mediator and moderator analyses.

Citation

For attribution, please cite this work as:
Page MJ, Moher D, Bossuyt PM, et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. 372:n160. doi:10.1136/bmj.n160

Reporting Guidelines are recommendations to help describe your work clearly

Your research will be used by people from different disciplines and backgrounds for decades to come. Reporting guidelines list the information you should describe so that everyone can understand, replicate, and synthesise your work.

Reporting guidelines do not prescribe how research should be designed or conducted. Rather, they help authors transparently describe what they did, why they did it, and what they found.

Reporting guidelines make writing research easier, and transparent research leads to better patient outcomes.

Easier writing

Following guidance makes writing easier and quicker.

Smoother publishing

Many journals require completed reporting checklists at submission.

Maximum impact

From nobel prizes to null results, articles have more impact when everyone can use them.

Who reads research?

You work will be read by different people, for different reasons, around the world, and for decades to come. Reporting guidelines help you consider all of your potential audiences. For example, your research may be read by researchers from different fields, by clinicians, patients, evidence synthesisers, peer reviewers, or editors. Your readers will need information to understand, to replicate, apply, appraise, synthesise, and use your work.

Cohort studies

A cohort study is an observational study in which a group of people with a particular exposure (e.g. a putative risk factor or protective factor) and a group of people without this exposure are followed over time. The outcomes of the people in the exposed group are compared to the outcomes of the people in the unexposed group to see if the exposure is associated with particular outcomes (e.g. getting cancer or length of life).

Source.

Case-control studies

A case-control study is a research method used in healthcare to investigate potential risk factors for a specific disease. It involves comparing individuals who have been diagnosed with the disease (cases) to those who have not (controls). By analysing the differences between the two groups, researchers can identify factors that may contribute to the development of the disease.

An example would be when researchers conducted a case-control study examining whether exposure to diesel exhaust particles increases the risk of respiratory disease in underground miners. Cases included miners diagnosed with respiratory disease, while controls were miners without respiratory disease. Participants' past occupational exposures to diesel exhaust particles were evaluated to compare exposure rates between cases and controls.

Source.

Cross-sectional studies

A cross-sectional study (also sometimes called a "cross-sectional survey") serves as an observational tool, where researchers capture data from a cohort of participants at a singular point. This approach provides a 'snapshot'— a brief glimpse into the characteristics or outcomes prevalent within a designated population at that precise point in time. The primary aim here is not to track changes or developments over an extended period but to assess and quantify the current situation regarding specific variables or conditions. Such a methodology is instrumental in identifying patterns or correlations among various factors within the population, providing a basis for further, more detailed investigation.

Source

Systematic reviews

A systematic review is a comprehensive approach designed to identify, evaluate, and synthesise all available evidence relevant to a specific research question. In essence, it collects all possible studies related to a given topic and design, and reviews and analyses their results.

The process involves a highly sensitive search strategy to ensure that as much pertinent information as possible is gathered. Once collected, this evidence is often critically appraised to assess its quality and relevance, ensuring that conclusions drawn are based on robust data. Systematic reviews often involve defining inclusion and exclusion criteria, which help to focus the analysis on the most relevant studies, ultimately synthesising the findings into a coherent narrative or statistical synthesis. Some systematic reviews will include a meta-analysis.

Source

Systematic review protocols

TODO

Meta analyses of Observational Studies

TODO

Randomised Trials

A randomised controlled trial (RCT) is a trial in which participants are randomly assigned to one of two or more groups: the experimental group or groups receive the intervention or interventions being tested; the comparison group (control group) receive usual care or no treatment or a placebo. The groups are then followed up to see if there are any differences between the results. This helps in assessing the effectiveness of the intervention.

Source

Randomised Trial Protocols

TODO

Qualitative research

Research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. This type of research typically involves in-depth interviews, focus groups, or field observations in order to collect data that is rich in detail and context. Qualitative research is often used to explore complex phenomena or to gain insight into people's experiences and perspectives on a particular topic. It is particularly useful when researchers want to understand the meaning that people attach to their experiences or when they want to uncover the underlying reasons for people's behavior. Qualitative methods include ethnography, grounded theory, discourse analysis, and interpretative phenomenological analysis.

Source

Case Reports

TODO

Diagnostic Test Accuracy Studies

Diagnostic accuracy studies focus on estimating the ability of the test(s) to correctly identify subjects with a predefined target condition, or the condition of interest (sensitivity) as well as to clearly identify those without the condition (specificity).

Prediction Models

Prediction model research is used to test the accurarcy of a model or test in estimating an outcome value or risk. Most models estimate the probability of the presence of a particular health condition (diagnostic) or whether a particular outcome will occur in the future (prognostic). Prediction models are used to support clinical decision making, such as whether to refer patients for further testing, monitor disease deterioration or treatment effects, or initiate treatment or lifestyle changes. Examples of well known prediction models include EuroSCORE II for cardiac surgery, the Gail model for breast cancer, the Framingham risk score for cardiovascular disease, IMPACT for traumatic brain injury, and FRAX for osteoporotic and hip fractures.

Source

Animal Research

TODO

Quality Improvement in Healthcare

Quality improvement research is about finding out how to improve and make changes in the most effective way. It is about systematically and rigourously exploring "what works" to improve quality in healthcare and the best ways to measure and disseminate this to ensure positive change. Most quality improvement effectiveness research is conducted in hospital settings, is focused on multiple quality improvement interventions, and uses process measures as outcomes. There is a great deal of variation in the research designs used to examine quality improvement effectiveness.

Source

Economic Evaluations in Healthcare

TODO

Meta Analyses

A meta-analysis is a statistical technique that amalgamates data from multiple studies to yield a single estimate of the effect size. This approach enhances precision and offers a more comprehensive understanding by integrating quantitative findings. Central to a meta-analysis is the evaluation of heterogeneity, which examines variations in study outcomes to ensure that differences in populations, interventions, or methodologies do not skew results. Techniques such as meta-regression or subgroup analysis are frequently employed to explore how various factors might influence the outcomes. This method is particularly effective when aiming to quantify the effect size, odds ratio, or risk ratio, providing a clearer numerical estimate that can significantly inform clinical or policy decisions.

How Meta-analyses and Systematic Reviews Work Together

Systematic reviews and meta-analyses function together, each complementing the other to provide a more robust understanding of research evidence. A systematic review meticulously gathers and evaluates all pertinent studies, establishing a solid foundation of qualitative and quantitative data. Within this framework, if the collected data exhibit sufficient homogeneity, a meta-analysis can be performed. This statistical synthesis allows for the integration of quantitative results from individual studies, producing a unified estimate of effect size. Techniques such as meta-regression or subgroup analysis may further refine these findings, elucidating how different variables impact the overall outcome. By combining these methodologies, researchers can achieve both a comprehensive narrative synthesis and a precise quantitative measure, enhancing the reliability and applicability of their conclusions. This integrated approach ensures that the findings are not only well-rounded but also statistically robust, providing greater confidence in the evidence base.

Why Don't All Systematic Reviews Use a Meta-Analysis?

Systematic reviews do not always have meta-analyses, due to variations in the data. For a meta-analysis to be viable, the data from different studies must be sufficiently similar, or homogeneous, in terms of design, population, and interventions. When the data shows significant heterogeneity, meaning there are considerable differences among the studies, combining them could lead to skewed or misleading conclusions. Furthermore, the quality of the included studies is critical; if the studies are of low methodological quality, merging their results could obscure true effects rather than explain them.

Protocol

A plan or set of steps that defines how something will be done. Before carrying out a research study, for example, the research protocol sets out what question is to be answered and how information will be collected and analysed.

Source

Systematic_review

A review that uses explicit, systematic methods to collate and synthesize findings of studies that address a clearly formulated question.

Source

Statistical synthesis

The combination of quantitative results of two or more studies. This encompasses meta-analysis of effect estimates (described below) and other methods, such as combining P values, calculating the range and distribution of observed effects, and vote counting based on the direction of effect (see McKenzie and Brennan for a description of each method)

Meta-analysis of effect estimates

A statistical technique used to synthesize results when study effect estimates and their variances are available, yielding a quantitative summary of results.

Source

Outcome

An event or measurement collected for participants in a study (such as quality of life, mortality).

Result

The combination of a point estimate (such as a mean difference, risk ratio or proportion) and a measure of its precision (such as a confidence/credible interval) for a particular outcome.

Reports

Documents (paper or electronic) supplying information about a particular study. A report could be a journal article, preprint, conference abstract, study register entry, clinical study report, dissertation, unpublished manuscript, government report, or any other document providing relevant information.

Record

The title or abstract (or both) of a report indexed in a database or website (such as a title or abstract for an article indexed in Medline). Records that refer to the same report (such as the same journal article) are “duplicates”; however, records that refer to reports that are merely similar (such as a similar abstract submitted to two different conferences) should be considered unique.

Study

An investigation, such as a clinical trial, that includes a defined group of participants and one or more interventions and outcomes. A “study” might have multiple reports. For example, reports could include the protocol, statistical analysis plan, baseline characteristics, results for the primary outcome, results for harms, results for secondary outcomes, and results for additional mediator and moderator analyses.