Better reporting of harms is needed in clinical trials to support better decision making
Harms in clinical trials may be characterised by adverse events (AEs) and adverse reactions. Both terms refer to untoward medical occurrences in a trial participant, but the second term presumes causation and is reserved for events directly attributed to the investigational treatment. Harms reporting in clinical trials is critical to understanding the nature and likelihood of experiencing unwanted effects resulting from or following treatment. Evidence to guide safe and effective use of treatments requires information on both possible benefits and harms. The CONSORT checklist for randomised controlled trials1 mandates reporting of harms, with specific guidance provided in the CONSORT extension for harms.2 However, a key problem is that information on harms is absent or reported inconsistently in clinical trials, warranting efforts to strengthen reporting of harms globally.
Inadequate reporting may over‐ or underestimate harms
Unfortunately, in drug trials, AEs are measured and reported inconsistently, consideration of causality is often missing, and it is often unclear what AEs took place during the intervention versus the post‐intervention period.3,4,5 But the true risk of harms caused by treatment is largely unknown for three key reasons. First, randomised controlled trials are optimally designed to evaluate an efficacy endpoint; therefore, AE endpoints are typically underpowered or not adequately captured. Second, although a country's drug regulator may have specific reporting requirements around causality of harms,6 causality data are often excluded from the published report (ie, AEs are reported but not adverse reactions).3,4,5 This is particularly concerning when information on causality is missing for serious adverse events (SAEs) — “event/adverse reaction that results in death, is life‐threatening, requires hospitalisation or prolongation of existing hospitalisation, results in persistent or significant disability or incapacity, congenital anomaly”.7 Third, many drug trials report the cumulative frequency of AEs during both the intervention and follow‐up periods.4 Therefore, it is not possible to determine the frequency and type of AEs that took place during the intervention period, when an argument for a causal relationship (and temporal relationship based on likely exposure) is more plausible than in the follow‐up period, when the drug has left the system (eg, for drugs with a short half‐life). This can lead to an overestimation of drug‐related harms.
An under‐recognised problem is the inconsistent or lack of any AE reporting in clinical trials evaluating non‐drug interventions (eg, physical, psychological and surgical interventions).5,8,9,10,11,12,13,14 This has been highlighted by recent large reviews, which reveal there are significant problems measuring and reporting AEs in non‐drug trials. In 2021, a review of 249 trials evaluating exercise for chronic low back pain found that only 12 trials measured any AEs in a systematic way.8 A review of trials of psychological interventions, funded by the National Institute for Health and Care Research, reported that none mentioned the occurrence of an AE in their final report and called for improvements in reporting practices;14 yet reporting problems persist.15 For example, in a 2022 review of psychological interventions for chronic back pain, only about 20% of the 97 trials included reported AEs, and most reported that no AEs occurred.16 These findings are unusual because when following people in a trial and measuring AEs carefully, it would be expected to see a proportion of these individuals reporting (or having experienced) some untoward medical event. In the PACE trial on the use of paracetamol for back pain, for example, about 20% of patients taking placebo reported experiencing an adverse event.17
Similarly, there are trials of behavioural interventions, for example, in children with attention deficit/hyperactivity disorder (ADHD) which did not report AEs of any type in the trial publication.18 Yet treatment emergent AEs, such as frustration, aggression and emotional reaction, are possible and have been previously documented with behavioural interventions in young children with ADHD.19
Study design features (eg, pragmatic design), and the prevailing belief that many non‐drug interventions are safe, have also been cited as reasons for no attention paid to recording or reporting AEs.11 For example, in the US replication of the STarTBack trial (stratified primary care management for low back pain with current best practice), the authors cited the trial's pragmatic nature and low risk of the intervention as reasons for not collecting AE data.11 Even in surgical trials, AEs are not always reported, and when they are reported, pooling of intra‐ and postoperative AEs can complicate interpretation.5
Strategies to strengthen AE reporting
Reasons for under‐reporting of harms in many non‐drug trials include universal definitions of AEs which do not explicitly mention physical, psychological or surgical interventions, study design considerations such as poor AE data collection, and a lack of awareness of and adherence to reporting requirements.11,20 This has helped to perpetuate the belief that non‐drug interventions are generally safe,8,9,10,11,12 and may encourage the use of non‐drug interventions for certain conditions in the absence of robust evidence around benefits and harms. Confusion regarding harms nomenclature is also likely contributing to the poor practices in reporting AEs.21 “Adverse events” describe untoward medical events that may or may not be related to the study intervention, but “adverse reactions” refer to untoward medical events related to the intervention. However, this convention is not followed in some fields, particularly where non‐drug interventions are being evaluated. For example, in the back pain field, a trial of physical therapy reported that AE data were not collected, although the study flowchart revealed there were 20 deaths.11
A key step to addressing the under‐reporting of harms in non‐drug trials is to raise awareness about these issues, educate about the difference in harms nomenclature, and improve transparency in clinical trial reporting, beginning from the trial registration and protocol stage through to providing the summary of results and other trial materials. In addition, the universal definition of AEs should be broadened to encompass all interventions. The scientific and clinical research community also has a responsibility to request more information from the study authors if information on harms is missing. However, this is time‐consuming and may not yield a response, reinforcing the importance of adequate primary reporting.
Although it is important to consider the feasibility (or lack thereof) of determining causality for non‐serious AEs, it should be necessary to report causality assessment outcomes for SAEs in published reports of clinical trials and incorporate this early in the trial protocol and registry. This would allow a more comprehensive understanding of the nature and frequency of SAEs that can be expected with any treatment. For drug trials, researchers should clearly distinguish between AEs occurring during and after treatment (ie, report them separately); and for surgical trials, AEs should be reported separately for the intra‐ and postoperative period. Furthermore, harms reporting should be consistent with conventional harms nomenclature. An event deemed to have a “reasonable possibility of a causal relationship”7 with an intervention should be described as reactions (eg, adverse reactions or serious adverse reactions) (Box).
While it is expected that triallists undergo training such as Good Clinical Practice to familiarise themselves with best practice guidelines around harms measuring and reporting,22 the Human Research Ethics Committee (HREC) and the Data Safety Monitoring Board (DSMB) play a key role in ensuring that a trial has adequate measuring and reporting procedures for harms. Decisions need to be made early on, depending on the level of complexity of the trial and the intervention, about the suitability of appointing an independent, multidisciplinary DSMB. For many trials, particularly those involving medicinal products, medical devices, or surgical interventions, it is expected that a DSMB will be appointed to have oversight over the study's safety plan and reporting procedures.
The DSMB plays a critical role in mitigating the risks to data validity, trial credibility, and participant safety.23 Part of the core function of the DSMB is to make an independent assessment on the relatedness of SAEs (or where appropriate AEs) to the study intervention. This includes providing an evaluation of outcome (eg, recovered, recovered with sequelae, death, continuing AE or SAE) and providing recommendations to the investigator team on appropriate follow‐up actions (eg, when a trial participant becomes pregnant). Assessment of relatedness or causality will often require unblinding of the DSMB; however, where necessary, measures should be taken to maintain the blinding of the study investigators and those involved in data analysis. Practical considerations when forming a DSMB include avoidance of even numbers on a panel, in case adjudication is required to resolve disagreements.
Trial investigators also have a responsibility to the HREC to outline procedures for the handling and timelines for reporting SAEs. Importantly, there may be time‐critical reporting of SAEs to the sponsor, HREC and/or the country's regulatory body. This is the case in Australia, where for trials of medicinal drugs and devices, for example, investigators must inform the study sponsor about SAEs (requiring immediate reporting) within 24 hours of becoming aware of the event, which then triggers a cascade of further time‐critical reporting to the relevant regulator.7 The HREC must be satisfied that the procedures for measuring and reporting of harms adhere to best practice reporting guidelines and regulatory requirements.
Taken together, integrating these strategies into trial protocols, registries and, where applicable, extensions for CONSORT (eg, CONSORT for harms2 and CONSORT for non‐pharmacological studies24) may help researchers to report harms appropriately for all interventions. Such approaches may help reduce the under‐ or overestimation of the harms of treatments and guide better informed decision making by clinicians, patients and policymakers.
Box – Suggested reporting of harms based on trial type
|
|||||||||||||||
|
|||||||||||||||
|
|||||||||||||||
|
|||||||||||||||
|
|||||||||||||||
|
|||||||||||||||
|
|||||||||||||||
* Adverse events or serious adverse events deemed to have a “reasonable possibility of a causal relationship”7 with an intervention should be clearly labelled as such in the trial report/publication (ie, adverse reaction or serious adverse reaction, respectively). |
Provenance: Not commissioned; externally peer reviewed.
- 1. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ 2010; 340: c869.
- 2. Ioannidis JP, Evans SJ, Gøtzsche PC, et al. Better reporting of harms in randomized trials: an extension of the CONSORT statement. Ann Intern Med 2004; 141: 781‐788.
- 3. Golder S, Loke YK, Wright K, Norman G. Reporting of adverse events in published and unpublished studies of health care interventions: a systematic review. PLoS Med 2016; 13: e1002127.
- 4. Phillips R, Hazell L, Sauzet O, Cornelius V. Analysis and reporting of adverse events in randomised controlled trials: a review. BMJ Open 2019; 9: e024537.
- 5. Rosenthal R, Hoffmann H, Dwan K, et al. Reporting of adverse events in surgical trials: critical appraisal of current practice. World J Surg 2015; 39: 80‐87.
- 6. Australian Government, Department of Health and Aged Care, Therapeutic Goods Administration. Adverse events reporting [updated 12 Nov 2022]. https://www.tga.gov.au/adverse‐event‐reporting (viewed Jan 2022).
- 7. National Health and Medical Research Council. Safety monitoring and reporting in clinical trials involving therapeutic goods, 2016. https://www.nhmrc.gov.au/sites/default/files/images/NHMRC‐guidance‐safety‐monitoring‐and‐reporting.pdf (viewed May 2022).
- 8. Hayden JA, Ellis J, Ogilvie R, et al. Exercise therapy for chronic low back pain. Cochrane Database Syst Rev 2021; (9): CD009790.
- 9. Niemeijer A, Lund H, Stafne SN, et al. Adverse events of exercise therapy in randomised controlled trials: a systematic review and meta‐analysis. Br J Sports Med 2020; 54: 1073‐1080.
- 10. Rubinstein SM, de Zoete A, van Middelkoop M, et al. Benefits and harms of spinal manipulative therapy for the treatment of chronic low back pain: systematic review and meta‐analysis of randomised controlled trials. BMJ 2019; 364: l689.
- 11. Delitto A, Patterson CG, Stevans JM, et al. Stratified care to prevent chronic low back pain in high‐risk patients: The TARGET trial. A multi‐site pragmatic cluster randomized trial. EClinicalMedicine 2021; 34: 100795.
- 12. George SZ, Childs JD, Teyhen DS, et al. Brief psychosocial education, not core stabilization, reduced incidence of low back pain: results from the Prevention of Low Back Pain in the Military (POLM) cluster randomized trial. BMC Med 2011; 9: 128.
- 13. Meister R, von Wolff A, Mohr H, et al. Adverse event methods were heterogeneous and insufficiently reported in randomized trials on persistent depressive disorder. J Clin Epidemiol 2016; 71: 97‐108.
- 14. Duggan C, Parry G, McMurran M, et al. The recording of adverse events from psychological treatments in clinical trials: evidence from a review of NIHR‐funded trials. Trials 2014; 15: 335.
- 15. Palermo TM, Slack K, Loren D, et al. Measuring and reporting adverse events in clinical trials of psychological treatments for chronic pain. Pain 2020; 161: 713‐717.
- 16. Ho EKY, Chen L, Simic M, et al. Psychological interventions for chronic, non‐specific low back pain: systematic review with network meta‐analysis. BMJ 2022; 376: e067718.
- 17. Williams CM, Maher CG, Latimer J, et al. Efficacy of paracetamol for acute low‐back pain: a double‐blind, randomised controlled trial. Lancet 2014; 384: 1586‐1596.
- 18. Coles EK, Pelham WE, Fabiano GA, et al. Randomized trial of first‐line behavioral intervention to reduce need for medication in children with ADHD. J Clin Child Adolesc Psychol 2020; 49: 673‐687.
- 19. Kollins SH, DeLoss DJ, Cañadas E, et al. A novel digital intervention for actively reducing severity of paediatric ADHD (STARS‐ADHD): a randomised controlled trial. Lancet Digit Health 2020; 2: e168‐e178.
- 20. Hoffmann T, Glasziou P, Beller E, et al. Focus on sharing individual patient data distracts from other ways of improving trial transparency. BMJ 2017; 357: j2782.
- 21. Abdel Shaheed C, Maher CG, Furmage A, et al. Better measuring and reporting of adverse events are needed in back pain trials of non‐drug interventions. BMJ 2022; 377: o1055.
- 22. International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use. Integrated addendum to ICH E6(R1). Guideline for good clinical practice E6(R2). ICH, 2016. https://database.ich.org/sites/default/files/E6_R2_Addendum.pdf (viewed May 2022).
- 23. National Health and Medical Research Council. Data Safety Monitoring Boards (DSMBs), 2018. https://www.australianclinicaltrials.gov.au/sites/default/files/content/For%20researchers/Data%20Safety%20Monitoring%20Boards_1.pdf (viewed May 2022).
- 24. Boutron I, Altman DG, Moher D, et al. CONSORT statement for randomized trials of nonpharmacologic treatments: a 2017 update and a CONSORT extension for nonpharmacologic trial abstracts. Ann Intern Med 2017; 167: 40‐47.
Open access
Open access publishing facilitated by The University of Sydney, as part of the Wiley ‐ The University of Sydney agreement via the Council of Australian University Librarians.
No relevant disclosures.