CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials

CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials
  1. Research
  2. CONSORT 2025...
  3. CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials
  1. Sally Hopewell, professor1,
  2. An-Wen Chan, professor2,
  3. Gary S Collins, professor3,
  4. Asbjørn Hróbjartsson, professor4 5,
  5. David Moher, professor6,
  6. Kenneth F Schulz, professor7,
  7. Ruth Tunn, research fellow1,
  8. Rakesh Aggarwal, professor8,
  9. Michael Berkwits, director9,
  10. Jesse A Berlin, professor10 11,
  11. Nita Bhandari, senior scientist12,
  12. Nancy J Butcher, professor13 14,
  13. Marion K Campbell, professor15,
  14. Runcie C W Chidebe, researcher16 17,
  15. Diana Elbourne, professor18,
  16. Andrew Farmer, professor19,
  17. Dean A Fergusson, professor20,
  18. Robert M Golub, professor21,
  19. Steven N Goodman, professor22,
  20. Tammy C Hoffmann, professor23,
  21. John P A Ioannidis, professor24,
  22. Brennan C Kahan, principal research fellow25,
  23. Rachel L Knowles, principal research fellow26,
  24. Sarah E Lamb, professor27,
  25. Steff Lewis, professor28,
  26. Elizabeth Loder, professor29 30,
  27. Martin Offringa, professor13,
  28. Philippe Ravaud, professor31,
  29. Dawn P Richards, director of patient and public engagement32,
  30. Frank W Rockhold, professor33,
  31. David L Schriger, professor34,
  32. Nandi L Siegfried, professor35,
  33. Sophie Staniszewska, professor36,
  34. Rod S Taylor, professor37,
  35. Lehana Thabane, professor38 39,
  36. David Torgerson, professor40,
  37. Sunita Vohra, professor41,
  38. Ian R White, professor25,
  39. Isabelle Boutron, professor42 43
  1. 1Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, University of Oxford, Oxford OX3 7LD, UK
  2. 2Department of Medicine, Women’s College Research Institute, University of Toronto, Toronto, ON, Canada
  3. 3UK EQUATOR Centre, Centre for Statistics in Medicine, University of Oxford, Oxford, UK
  4. 4Centre for Evidence-Based Medicine Odense and Cochrane Denmark, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
  5. 5Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark
  6. 6Centre for Journalology, Clinical Epidemiology Programme, Ottawa Hospital Research Institute, Ottawa, ON, Canada
  7. 7Department of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
  8. 8Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
  9. 9Office of Science Dissemination, Centers for Disease Control and Prevention, Atlanta, GA, USA
  10. 10Department of Biostatistics and Epidemiology, School of Public Health, Center for Pharmacoepidemiology and Treatment Science, Rutgers University, New Brunswick, NJ, USA
  11. 11JAMA Network Open, Chicago, IL, USA
  12. 12Centre for Health Research and Development, Society for Applied Studies, New Delhi, India
  13. 13Child Health Evaluation Services, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
  14. 14Department of Psychiatry, University of Toronto, Toronto, ON, Canada
  15. 15Aberdeen Centre for Evaluation, University of Aberdeen, Aberdeen, UK
  16. 16Project PINK BLUE - Health & Psychological Trust Centre, Utako, Abuja, Nigeria
  17. 17Department of Sociology and Gerontology, Miami University, OH, USA
  18. 18Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
  19. 19Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
  20. 20Ottawa Hospital Research Institute, Ottawa, ON, Canada
  21. 21Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
  22. 22Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
  23. 23Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, University Drive, Robina, QLD, Australia
  24. 24Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
  25. 25MRC Clinical Trials Unit at University College London, London, UK
  26. 26University College London, UCL Great Ormond Street Institute of Child Health, London, UK
  27. 27NIHR Exeter Biomedical Research Centre, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
  28. 28Edinburgh Clinical Trials Unit, Usher Institute-University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
  29. 29The BMJ, BMA House, London, UK
  30. 30Harvard Medical School, Boston, MA, USA
  31. 31Université Paris Cité, Inserm, INRAE, Centre de Recherche Epidémiologie et Statistiques, Université Paris Cité, Paris, France
  32. 32Clinical Trials Ontario, MaRS Centre, Toronto, ON, Canada
  33. 33Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA
  34. 34Department of Emergency Medicine, University of California, Los Angeles, CA, USA
  35. 35South African Medical Research Council, Cape Town, South Africa
  36. 36Warwick Research in Nursing, Warwick Medical School, University of Warwick, Coventry, UK
  37. 37MRC/CSO Social and Public Health Sciences Unit & Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
  38. 38Department of Health Research Methods Evidence and Impact, McMaster University, Hamilton, ON, Canada
  39. 39St Joseph’s Healthcare Hamilton, Hamilton, ON, Canada
  40. 40York Trials Unit, Department of Health Sciences, University of York, York, UK
  41. 41Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
  42. 42Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Paris, France
  43. 43Centre d’Epidémiologie Clinique, Hôpital Hôtel Dieu, AP-HP, Paris, France
  1. Correspondence to: S Hopewell sally.hopewell{at}csm.ox.ac.uk
  • Accepted 21 January 2025

Critical appraisal of the quality of randomised trials is possible only if their design, conduct, analysis, and results are completely and accurately reported. Without transparent reporting of the methods and results, readers will not be able to fully evaluate the reliability and validity of trial findings. The CONSORT (Consolidated Standards of Reporting Trials) statement aims to improve the quality of reporting and provides a minimum set of items to be included in a report of a randomised trial. CONSORT was first published in 1996 and was updated in 2001 and 2010. CONSORT comprises a checklist of essential items that should be included in reports of randomised trials and a diagram for documenting the flow of participants through a trial. The CONSORT statement has been updated (CONSORT 2025) to reflect recent methodological advancements and feedback from end users, ensuring that it remains fit for purpose. Here, we present the updated CONSORT explanation and elaboration document, which has been extensively revised and describes the rationale and scientific background for each CONSORT 2025 checklist item and provides published examples of good reporting. The objective is to enhance the use, understanding, and dissemination of CONSORT 2025 and provide guidance to authors about how to improve the reporting of their trials and ensure trial reports are complete, and transparent.

“Readers should not have to infer what was probably done; they should be told explicitly.” Douglas G Altman1

Well designed and properly executed randomised trials provide the most reliable evidence on the benefits of healthcare interventions. Biased results from poorly designed and poorly reported trials are wasteful2 and can mislead decision making in healthcare at all levels, from treatment decisions for the individual patient to formulation of national public health policies.

Critical appraisal of the quality of randomised trials is possible only if their design, conduct, analysis, and results are completely and accurately reported. However, there is overwhelming evidence that the quality of reporting of randomised trials is not optimal.3 Without transparent reporting of methods and results, readers cannot evaluate the reliability and validity of trial findings or extract information for systematic reviews. Trials with inadequate methods are also associated with bias, especially exaggerated treatment effects.4 Having a transparent trial protocol is also important because it prespecifies the design and methods used in the trial, such as the primary outcome, thereby reducing the likelihood of undeclared post hoc changes to the trial.5

Summary points

  • The CONSORT (Consolidated Standards of Reporting Trials) 2025 statement consists of a 30-item checklist of essential items for reporting the results of randomised trials

  • This updated explanation and elaboration article describes the rationale and scientific background for each checklist item and provide published examples of good reporting

  • This explanation and elaboration article provides detailed guidance to enhance the use, understanding, and dissemination of CONSORT 2025, helping to ensure that trial reports are complete and transparent

Improving the reporting of randomised trials: the CONSORT statement

Issues around poor reporting of research are arguably one of the aspects of research waste that is easiest to fix, as highlighted by the late Doug Altman in 1996.1 Efforts to improve the reporting of randomised trials gathered impetus in the mid-1990s and resulted in the Standardized Reporting of Trials (SORT) statement 6 and Asilomar initiative7 in 1994. Those initiatives then led to publication of the CONSORT (Consolidated Standards of Reporting Trials) statement in 1996,8 which was revised in 20019 and published alongside an accompanying explanation and elaboration document.10 CONSORT and the explanation and elaboration document were then updated again in 2010.1112 Similar problems related to the lack of transparent reporting of trial protocols led to the subsequent development of the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement, published in 2013,13 and its accompanying explanation and elaboration document.14 In January 2020, the SPIRIT and CONSORT executive groups met in Oxford, UK. As the SPIRIT and CONSORT reporting guidelines are conceptually linked, with overlapping of content and similar dissemination and implementation strategies, the two groups decided that it was more effective to work together.

The CONSORT statement (or simply CONSORT) comprises a checklist of a minimal set of essential items that should be included in reports of randomised trials and a diagram for documenting the flow of participants through a trial. The objective of CONSORT is to provide guidance and recommendations to authors about how to improve the reporting of their trials and ensure their trial reports are complete, and transparent.1112 Readers, clinicians, guideline writers, peer reviewers, and editors can also use CONSORT to help them critically appraise and interpret reports of randomised trials. However, CONSORT is not meant to be used as a quality assessment instrument; it does not specify correct methods to be applied universally. Rather, it reminds the reader of key elements of trial design and conduct related to internal and external validity; when appraising a trial, the reader should critically evaluate the decisions made by the investigators for each of these elements.

Since its publication in 1996, CONSORT has been endorsed by numerous journals worldwide and received global endorsement by prominent editorial organisations, including the World Association of Medical Editors (WAME), International Committee of Medical Journal Editors (ICMJE), and Council of Science Editors (CSE). The endorsement of CONSORT by journals has also been shown to be associated with improved quality of reports of randomised trials.3

Updating the CONSORT statement

CONSORT and SPIRIT are living guidelines, and it is vital that the statements are periodically updated to reflect new evidence, methodological advances, and feedback from users; otherwise, their value and usefulness will diminish over time, rendering them no longer fit for purpose. Updating the SPIRIT 2013 and CONSORT 2010 statements and accompanying explanation and elaboration documents together was also an opportunity to align both checklists and to provide users with consistent guidance in the reporting of trial design, conduct, analysis, and results from trial protocol to final publication. Harmonising the reporting recommendations will improve usability and adherence, leading to more complete and accurate reporting.15

The methods used to update the CONSORT statement followed the EQUATOR Network guidance for developers of health research reporting guidelines16 and have been described in detail elsewhere.17 In brief, we first conducted a scoping review of the literature related to randomised trials to identify suggestions for changes or additions to CONSORT 2010.18 We also developed a project specific database (SCEBdb) for empirical and theoretical evidence related to CONSORT and risk of bias in randomised trials.19 This evidence was combined with evidence from existing CONSORT extensions (Harms,20 Outcomes,21 Non-pharmacological Treatment22), other related reporting guidelines (Template for Intervention Description and Replication (TIDieR)23), and evidence and recommendations from other sources. From these sources, we generated a list of potential modifications or additions to CONSORT, which we presented to end users for feedback in a large international online Delphi survey involving over 300 participants. The Delphi survey results were discussed at a two-day online expert consensus meeting attended by 30 invited international experts. We then drafted the updated CONSORT checklist and revised it based on further feedback from meeting attendees.

The CONSORT 2025 statement is published elsewhere,24 where full details of the changes to the checklists and rationale for the changes are described. To help facilitate implementation of CONSORT 2025, we have also developed an expanded version of the CONSORT 2025 checklist, with bullet points. The expanded checklist comprises an abridged version of elements presented in this CONSORT 2025 explanation and elaboration document, with examples and references removed (appendix 1).

Purpose and main changes to the CONSORT 2025 explanation and elaboration

We modelled our approach for developing the CONSORT 2025 explanation and elaboration document on the procedures used for the CONSORT 2010 explanation and elaboration document.12 We present each CONSORT 2025 checklist item (table 1) with at least one recent published example of good reporting, followed by an explanation of the rationale for including the item and main issues to address, and a list selected references to current empirical and theoretical evidence. Members of the core writing group (SH, A-WC, GSC, AH, DM, KFS, IB) developed a draft of individual checklist items, which was then comprehensively revised based on comments from all authors.

Table 1

CONSORT 2025 checklist of information to include when reporting a randomised trial

We have made a number of substantive changes to the CONSORT 2025 explanation and elaboration document. These reflect changes to the CONSORT 2025 checklist: for example, the addition of new items related to data sharing (item 4); how patients and the public were involved in the design, conduct, and reporting of the trial (item 8); how harms were assessed (item 15); how missing data were handled (item 21c); and details of how the intervention and comparator were actually administered (item 24a). We deleted the checklist item on generalisability of trial findings, which is now incorporated under trial limitations (item 30).

Some changes to the CONSORT 2025 checklist also reflect the integration of aspects of the CONSORT extensions related to harms,20 outcomes,21 and non-pharmacological treatments22; and TIDieR.23 We have reorganised the structure of the CONSORT checklist, including a new section on open science, which includes items that are conceptually linked such as trial registration (item 2); where the trial protocol and statistical analysis plan can be accessed (item 3); sharing of de-identified participant level data and statistical code (item 4); and funding and conflicts of interest (item 5). We have aligned the item wording between the CONSORT and SPIRIT 2025 checklists. We have retained some of the same language in the explanation and elaboration text from the previous CONSORT 2010 explanation and elaboration,12 where it was felt that no changes were required and no new evidence existed to modify our discussion of the issues. The following sections list checklist items (table 1) with examples and explanations.

CONSORT 2025: Title and abstract

Item 1a: Identification as a randomised trial

Example

“Efficacy and Safety of Early Administration of 4-Factor Prothrombin Complex Concentrate in Patients With Trauma at Risk of Massive Transfusion: The PROCOAG Randomized Clinical Trial.”25

Explanation

The ability to identify a report of a randomised trial in a bibliographic database depends to a large extent on how it was indexed. Indexers might not classify a report as a randomised trial if the authors do not explicitly report this information.26 To help ensure that a study is appropriately indexed and easily identified, authors should use the word “randomised” in the title to indicate that the participants were randomly assigned to their comparison groups.

Item 1b: Structured summary of the trial design, methods, results, and conclusions

Explanation

Transparent and sufficiently detailed abstracts are important because readers often base their assessment of a trial on such information. Some readers use an abstract as a screening tool to decide whether to read the full article. However, not all trials are freely available and some health professionals and other users do not have access to the full trial reports.27

A journal abstract should contain sufficient information about a trial to serve as an accurate record of its conduct and findings, providing optimal information about the trial within the space constraints and format of a journal. A properly constructed and written abstract helps individuals to assess quickly the relevance of the findings and aids the retrieval of relevant reports from electronic databases.28 The abstract should accurately reflect what is included in the full journal article and should not include information that does not appear in the body of the paper. In addition, abstracts should not be a distorted representation of the trial results. Studies comparing information reported in a journal abstract with that reported in the text of the full publication have found claims that are inconsistent with, or missing from, the body of the full article.29303132 Abstracts are also frequently reported with spin defined as a distorted representation of the study results.333435 Authors should avoid selectively reporting only statistically significant secondary outcomes or subgroup analyses. Conversely, omitting important harms from the abstract could seriously mislead interpretation of the trial findings and benefit-to-harms balance that is critical for decision making.3637

An extension to CONSORT 2001 provided a list of essential items that authors should include in a journal (or conference) abstract when reporting the main results of a randomised trial.38 A systematic review of 10 meta-research studies examined the reporting quality of abstracts of randomised trials and found improvements in reporting following publication of this extension.39Table 2 provides a list of essential items to include in an abstract; it is based on the CONSORT for Abstracts extension40 and has been updated to reflect changes made to the main CONSORT checklist. We strongly recommend the use of structured abstracts for reporting randomised trials. They provide readers with information about the trial under a series of headings pertaining to the design, conduct, analysis and interpretation.41 Some studies have found that structured abstracts offer greater value and information coverage than the more traditional descriptive abstracts4243 and allow readers to find information more easily.44 We recognise that journals have their own structure for reporting abstracts. It is not our intention to suggest changes to these formats, but to recommend what information should be reported.

Table 2

Items to include when reporting a randomised trial in a journal abstract

CONSORT 2025: Open science

Open science practices are increasingly endorsed worldwide. There are many definitions of open science and many different goals of openness may be surmised under this term. The United Nations Educational, Scientific and Cultural Organisation defines open science as “an inclusive construct that combines various movements and practices aiming to make multilingual scientific knowledge openly available, accessible and reusable for everyone, to increase scientific collaborations and sharing of information for the benefits of science and society, and to open the processes of scientific knowledge creation, evaluation and communication to societal actors beyond the traditional scientific community.”45 Open science practices apply to the design, conduct, documentation, and reporting of randomised trial protocols and completed trials.

Some of the checklist items in this section, such as trial registration, were previously included in both SPIRIT and CONSORT. To give them more prominence they are now included under the Open Science heading. However, data sharing is a new item for CONSORT. Furthermore, while no item is dedicated to authorship, we recommend that authors are transparent on whether and how artificial intelligence tools may have been involved in the writing of the manuscript.46

Item 2: Name of trial registry, identifying number (with URL) and date of registration

Example

“This study was registered in the Iranian Registry of Clinical Trials under the code IRCT20150531022498N30: https://en.irct.ir/trial/41031. Registered on July 26, 2019.”47

Explanation

The consequences of non-publication of entire trials (ie, publication bias),484950 and of selective reporting of outcomes and analyses within trials, have been well documented.515253 For almost 40 years, there have been growing calls to address these practices. Today, a ubiquitous view recommends trial registration as the best practice to achieve this goal, and inform policymakers and potential participants about ongoing trials. Registering clinical trials, before any assignment of participants, with unique trial identification numbers and other basic information about the trial so that essential details are made publicly available, is a minimum best practice.54555657 Serious problems of withholding data58 led to renewed efforts to ensure registration of randomised trials. The World Health Organization (WHO) states that “the registration of all interventional trials is a scientific, ethical and moral responsibility.”59

In September 2004, the ICMJE established a policy that it would only consider trials for publication if they had been registered before the enrolment of the first participant.60 This policy resulted in a substantial increase in the number of trials being registered.61 However, some trials are still not registered.49 The ICMJE gives guidance on acceptable registries (https://www.icmje.org/about-icmje/faqs/clinical-trials-registration/) and also accepts registration in WHO primary registries (https://www.who.int/clinical-trials-registry-platform/network/primary-registries) and ClinicalTrials.gov. Registers charging a fee to view their content should be avoided to ensure equity of access for everyone, including patients and the public.

The Transparency and Openness Promotion (TOP) guidelines, endorsed and used by thousands of journals, recommends trial registration.62 In a survey of 168 high impact factor medical journals’ “Instructions to authors” in 2014, 78 journals stated that all recent clinical trials must be registered as a requirement of submission to that journal.63 A more recent survey in 2019 of surgical journals publishing randomised trials found that 53 of 82 journals mandated prospective registration.64

Despite recommendations, and mandates in some jurisdictions for clinical trialists to register their trial and evidence that registration deters selective reporting, this is still not happening universally.6566 Authors should provide the name of the registry, the trial’s associated registration number, date of registration and, where possible, the URL for the trial’s registration. We recommend that authors also report whether (or when) the trial results are available on the associated trial register.

Despite the considerable increase in clinical trial registration, there is a strong body of evidence showing the lack of access to trial results.67686970 The latest version of the Declaration of Helsinki states that “Researchers have a duty to make publicly available the results of their research on human participants and are accountable for the timeliness, completeness, and accuracy of their reports . . . Negative and inconclusive as well as positive results must be published or otherwise made publicly available.” In 2015, WHO published a new statement on the public disclosure of trial results, which requests that “the key outcomes are to be made publicly available within 12 months of study completion by posting to the results section of the primary clinical trial registry. Where a registry is used without a results database available, the results should be posted on a free-to-access, publicly available, searchable institutional website of the Regulatory Sponsor, Funder or Principal Investigator.” Some legislations are also in place in the US, UK, and Europe requesting the posting of trial results on clinical trials registry within 12 months after study completion.717273

Authors should indicate whether the trial results are publicly posted to the trial registry, as a preprint (with URL citation) or as published articles (with citations).

Item 3: Where the trial protocol and statistical analysis plan can be accessed

Example

“The full trial protocol and the Statistical Analysis Plan can be accessed in the Supplementary Material”.74 This article and supplementary material are open access.

Explanation

A protocol for the complete trial (rather than a protocol of a specific procedure within a trial, such as for the intervention) is important because it prespecifies the methods of the randomised trial, for example, the primary outcome (item 14). Having a protocol provides important context to interpret a trial, implement its findings, and facilitate replication and appraisal of risk of bias. It can also help to restrict the likelihood of undeclared post hoc changes to the trial methods and selective outcome reporting (item 10).757677 Elements that are important to address in the protocol for a randomised trial are described in the SPIRIT 2025 statement.78

A protocol may either include the full statistical analysis plan or may include a section outlining the main principles while referencing and reporting the full statistical analysis plan as a separate, more detailed document. The statistical analysis plan typically includes details about several aspects of the clinical trial, such as the data analysis plan for the primary outcome(s) and all secondary outcomes. Details about what to include in a statistical analysis plan can be found elsewhere.79

The protocol should be signed off by the trial steering committee before the allocation of any participants and data collection. Similarly, the full statistical analysis plan should be signed off by the trial steering committee before the dataset is closed for analysis. This allows transparent documentation of any subsequent changes to either document. In many trials, changes to the protocol and statistical analysis plan may happen after the trial onset for legitimate reasons (eg, in response to challenges that were not anticipated or new evidence). In these cases, each iteration of the protocol and statistical analysis plan should record the changes along with their rationale and timing.

There are several options for authors to consider to ensure their trial protocol, and full statistical analysis plan where applicable, are accessible to interested readers. The protocol and full statistical analysis plan (and their various iterations) can be stored in a repository, such as the Open Science Framework, which is free to use and access for all readers. Openness and accessibility are core elements of open science (see Open science section). Trial protocols and statistical analysis plans can also be published in journals such as Trials and BMJ Open. Open access publication would ensure that any reader, including patients and the public, can access the document. Trial registration (item 2) will also ensure that a minimum set of trial protocol details are available as part of the trial’s registration (https://www.who.int/clinical-trials-registry-platform), but often a registration record leaves large ambiguity about key protocol issues and statistical analyses. The more detailed trial protocol can also be posted on most clinical trial registries.

Ideally, the authors should give access to the protocol signed off by the trial steering committee before the allocation of any participants and data collection with any subsequent changes with their rationale and timing.

When submitting a completed trial report, trial authors can include their protocol as a supplemental document or provide a URL to its location. Such documentation can facilitate peer review and help identify reporting biases.

Item 4: Where and how the individual de-identified participant data (including data dictionary), statistical code, and any other materials can be accessed

Examples

“All data requests should be submitted to the corresponding author (AR) for consideration as agreed in our publication plan. Access to anonymised data may be granted following review with the Trial Management Group and agreement of the chief investigator (AR).”80

“Deidentified data collected and presented in this study, including individual participant data and a data dictionary defining each field in the set, will be made available upon reasonable request after publication of this Article, following approval by regulatory authorities. Data can be requested by contacting the corresponding author.”81

Explanation

Data and code sharing can take the transparency of trial reporting to a different, more desirable level. Sharing individual de-identified participant data would be helpful in many ways: verifying results and increasing trust; using data more extensively for secondary analyses; and using data for individual patient data meta-analysis (IPD MA). Data sharing is also associated with increased citations82 (ie, broader dissemination). Some trial groups have worked collaboratively to conduct IPD MA.83 However, for most randomised trials, data sharing does not happen.8485868788 During the covid-19 pandemic, there were many examples of authors’ intentions to share data that then did not transpire (ie, they did not share their data).8789 There is increasing concern that some trials are fraudulent or considered to be so-called zombie trials, which becomes evident only on inspection of the raw data.9091 However, even if zombie trials are not as prevalent as feared, genuine trials can have such an important role and high value that it is important to maximise their utility by making them more open. Detailed documentation of sharing plans may help in this direction.92

All data sharing should abide by the principle of being as open as possible and as closed as necessary throughout a randomised trial’s life cycle (from SPIRIT to CONSORT). It is important to ensure that all the appropriate permissions are included on the patient consent forms. Trials cannot share data that are not fully anonymised without the appropriate patient consent, and full anonymisation can be difficult. Care must be taken to share participant data appropriately to maintain confidentiality. Suitable mechanisms must be in place to appropriately de-identify participant data, and data should only be shared in a safe and secure manner that fits with the consent obtained from participants.

Data sharing typically involves sharing: the underlying data generated from the trial’s conduct; a data dictionary (ie, structure, content, and meaning of each data variable); and other relevant material(s) used as part of the trial’s analysis such as the trial protocol, data management plan, statistical analysis plan, and code used to analyse the data. A trial’s data can be shared in a variety of ways, such as via an institutional repository (eg, belonging to the university associated with the trial’s coordinating centre) and/or a public-facing repository, or by having a bespoke process to provide data. Often, a data use agreement is necessary, which will, at a minimum: prohibit attempts to reidentify or contact trial participants; address any requirements regarding planned outputs of the proposed research (eg, publication and acknowledgment requirements); and prohibit non-approved uses or further distribution of the data.93

In a growing number of jurisdictions, funders such as the National Institute for Health (NIH),94 in the US and the National Institute for Health and Care Research (NIHR) in the UK, alongside other funders such as the Gate’s Foundation, now require researchers to share their data and make the results publicly available for anyone to read. Similarly, some journals are also requiring authors to include a data sharing statement as part of the article submission process (eg, Annals of Internal Medicine, The BMJ, JAMA Network journals, PLoS Medicine).

The process of signalling how data sharing will be achieved is often contained in a data management plan but may also be found in the trial protocol or statistical analysis plan. More complete details regarding developing a data management plan are beyond the scope of this paper. Such details can be found elsewhere.95 Authors should provide some description of where these details can be found (eg, name of repository and URL to data, code, and materials). Sharing may also entail embargo periods, and if so, the choice of an embargo should be justified and its length should be stated.96 If data (or some parts thereof) cannot be shared, the reasons for this should be reported and should be sensible and following ethical principles.

For more complex trials (eg, types of talking therapies, physiotherapy), additional materials to share might include a handbook and/or video to detail the intervention.93 Often these can be shared much more freely than the data, as there are fewer issues with confidentiality.

Item 5a: Sources of funding and other support (eg, supply of drugs), and role of funders in the design, conduct, analysis, and reporting of the trial

Examples

“Grant support was received for the intervention from Plan International and for the research from the Wellcome Trust and Joint United Nations Programme on HIV/AIDS (UNAIDS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”97

“Funding: Merck Sharp and Dohme . . . The study funder had a role in the study design, data collection, data analysis, data interpretation, and writing of the report.”98

The article also states that “Merck employees LY, SB, and PB were involved in the conceptualisation of the study, formal analysis, the investigation process, development of the methodology, project administration, drafting the manuscript, and had critically reviewed and edited the manuscript.”98

Explanation

Reporting the funding source(s), and the exact roles of the trial funders, provides important context for readers of a trial report when ascertaining overall methodological rigor (eg, relevance of the type of comparator intervention and eligibility criteria for patients) and risk of bias (eg, selective reporting of favourable results). The trial report should therefore describe details of all funders and the types of funding, as well as the role of the funder in trial design (ie, protocol development), conduct, data analysis, and reporting (ie, interpretation, manuscript writing, and dissemination of results). This should include whether the funder controlled the final decision regarding any of these aspects of the trial, and any mechanisms introduced to minimise funder influence. If the funder had no direct involvement in the trial, that should be stated.

A randomised trial requires considerable funding, typically from pharmaceutical or device companies (industry funding); or from research councils or other scientific or private foundations, or governmental or non-governmental organisations (non-industry funding).99 One study of trials conducted between 2010 and 2015 estimated the median cost per phase 3 drug company trial at $21.4m (£17.21m; €20.7m),100 with substantial variation. The mean cost of clinical trials funded by the NIHR in the UK, reflecting differences in the research and care infrastructure already funded, was lower, but still sizeable—approximately £1.3m—with considerable variation.101 The various types of funders differ in their overall agenda, their reasons for funding a trial, and their propensity to influence the trial.

Funding of a trial typically involves direct monetary support, but financial support may also be provided indirectly in the form of free trial drugs, equipment, or services (eg, statistical analysis or use of medical writers).102 Among the most highly cited clinical trials published in 2019 to 2022, two thirds were funded by industry sponsors, many of whom also provided industry analysts and coauthors.103

Industry funding of trials is associated with conclusions that favour the experimental intervention. A systematic review of 75 methodological studies, comparing industry funded studies with non-industry funded studies (mostly randomised trials), reported that industry funded studies had favourable conclusions more often than non‐industry funded studies (risk ratio 1.34; 95% confidence interval (CI) 1.19 to 1.51).104 Industry funded trials may also report more favourable results (ie, larger estimates of intervention effects) than comparable trials that are funded by non-industry sources. One review of eight published meta-epidemiological studies reported that intervention effects (odds ratios) from industry funded trials were, on average, exaggerated by 5% (95% CI −6% to 15%), although the result was imprecise and consistent with chance findings. However, trials with a high risk of industry funder influence (eg, on trial design, conduct, analysis, and reporting) exaggerated effect estimates by 12% (95% CI 3% to 19%).105 Undue influence on trials from non-industry funders with a strong interest in a specific trial result has been described,106 but has been studied much less.

A review of 200 trials published in 2015107 found that 178 (89%) publications included a funding statement. However, in half of the publications, the role of funder was not reported; in the other half, the reporting was often unclear or incomplete; and undisclosed funding from a for-profit organisation was found in 26 of 54 trials reporting only not-for-profit funding. Another study surveyed authors of 200 trials fully funded by industry and found that funders had been involved in the design of 173 trials (87%), in the data analysis of 146 trials (73%), and in the reporting of 173 trials (87%).102 No clear consensus exists on a monetary threshold for when funding from a source with conflict of interest becomes problematic. It is also unclear whether commercial funding is less important than the degree and type of funder influence on trial design, conduct, analysis, and reporting.

Item 5b: Financial and other conflicts of interest of the manuscript authors

Example

“SYR reports grants from Amgen, Astellas, Daiichi Sankyo, Eisai, Merck, Roche, Zymeworks, Indivumed, MSD, Ono/Bristol Myers Squibb, AstraZeneca, BI, Taiho, Lilly, SN Bioscience. SRF has received honoraria as an invited speaker for Lilly, Eisai, Daiichi Sankyo, MSD, and Ono/Bristol Myers Squibb; has participated on advisory boards for Amgen and Indivumed; and has served as an advisor for Astellas, Daiichi Sankyo, Eisai, LG Biochem, Merck Sharpe Dohme, Ono/Bristol Myers Squibb, and AstraZeneca. D-YO reports grants from AstraZeneca, Novartis, Array, Eli Lilly, Servier, BeiGene, Merck Sharpe Dohme, and Handok; and has participated on a data safety monitoring board or advisory board for AstraZeneca, Novartis, Genentech/Roche, Merck Serono, Bayer, Taiho, ASLAN, Halozyme, Zymeworks, Bristol Myers Squibb/Celgene, BeiGene, Basilea, Turning Point, Yuhan, Arcus Biosciences, IQVIA, and Merck Sharpe Dohme. M-HR reports research grants from AstraZeneca; consulting fees from Bristol Myers Squibb, Ono, Lilly, Merck Sharpe Dohme, Novartis, Daiichi Sankyo, AstraZeneca, Sanofi, and Astellas; and has received honoraria for lectures, presentations, speakers bureaus, or educational events from Bristol Myers Squibb, Ono, Lilly, Merck Sharpe Dohme, Novartis, Daiichi Sankyo, AstraZeneca, Sanofi, and Astellas . . .

“LY, SB and PB report full-time employment by Merck Sharp and Dohme, a subsidiary of Merck (Rahway, NJ, USA), and stock ownership in Merck. LSW reports consulting fees from Amgen; and has received honoraria for lectures, presentations, speakers bureaus, or educational events from Novartis, Bristol Myers Squibb, Merck Sharpe Dohme, Roche, and Amgen.

“PY, YB, JLee, MGF, JLi, MAL, TC, SQ, SL, and HP declare no competing interests.”98

Explanation

Disclosure of authors’ conflicts of interest provides important context for readers of a trial report when ascertaining the overall methodological rigor of a trial (eg, relevance of the type of comparator intervention and eligibility criteria for patients) and risk of bias (eg, selective reporting of favourable results). Conflicts of interest of all trial manuscript authors should be reported, along with any procedures to reduce the risk of conflicts of interest influencing the trial’s design, conduct, analysis, or reporting.

Conflicts of interest can be defined as “a set of circumstances that creates a risk that professional judgement or actions regarding a primary interest will be unduly influenced by a secondary interest.”108 In the context of authors of a trial report, conflicts of interest imply a risk that investigators’ personal interests and allegiances, or ties with companies or organisations, have undue influence on the design, conduct, analysis, or reporting of a trial. The concept implies a risk of influence and is not indicative of actual wrongdoing.

Conflicts of interest are most often associated with the drug and device industries. Types of financial ties include salary support or grants; ownership of stock or options; honorariums (eg, for advice, authorship, or public speaking); paid consultancy or service on advisory boards and medical education companies; and receipt of patents or patents pending. An analysis of 200 trials from 2015 reported that 57% of trials had at least one author declaring financial conflicts of interests.109

Conflicts of interest may also exist with support from or affiliation with government agencies, charities, and professional and civic organisations. Non-financial conflicts of interest include academic commitments; personal or professional relationships; and political, religious, or other affiliations with special interests or advocacy positions. An analysis of 200 trials found that 4% of trials had at least one author declaring non-financial conflicts of interest.109 There is ongoing discussion on the association between a problematic non-financial conflict of interest and a reasonable point of view.110

A cross sectional study of 190 randomised trials, published in core clinical journals, found that trials with authors’ conflicts of interest had more positive results than trials without. The presence of a financial tie was associated with a positive study outcome (odds ratio 3.23; 95% CI 1.7 to 6.1). This association was also present after adjustment for the stud

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