ArticleTrials2025
Improving the capture and reporting of adverse events in clinical trials of non-pharmacological interventions: learnings from the PaCCSC/CST membership.
Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate capture and reporting of adverse events (AEs) in clinical trials is critical to understanding the potential harms of prospective interventions. Current AE-reporting frameworks are specifically constructed for pharmacological interventions and adaptation of these frameworks imparts the risk of excluding AEs unique to non-pharmacological interventions that have not yet been defined. As a result, clinical trials of non-pharmacological interventions seldom include a systematic method to capturing and reporting AEs, often using no method at all. These gaps make it likely that AEs in trials of non-pharmacological interventions are underreported, providing insufficient information about the safety of such interventions prior to their implementation in clinical practice. In addition, clinical trials focus primarily on participants receiving the intervention, with current AE-reporting frameworks not designed to capture potential harms to other personnel involved (i.e. family/carers, and clinical and research staff). A series of collaborative group discussions with consumers and interdisciplinary clinical trialists, and case study analyses were conducted to explore gaps in the capture and reporting of AEs specific to non-pharmacological trials, and their mitigation. MAIN BODY: Two case examples are provided. The first case example highlights that current methods are inadequate, resulting in inconsistencies in capturing AEs, influenced by the environmental context of the clinical trial. The second case example highlights the need for both systematic and simplified AE-reporting frameworks, particularly for clinical trials conducted in medically complex populations where participants may be at high risk of experiencing AEs. We recommend future trials of non-pharmacological interventions adopt a four-step framework that incorporates: (1) enhanced trial protocol development to define the participant, environmental context in which the intervention is taking place and identify other personnel involved; (2) pre-specify anticipated AEs in trial protocol; (3) selection of the most appropriate measurement system to define, report and grade AEs; and (4) develop corrective and preventative action plans.
conclusionWe provide recommendations for an AE-reporting framework for future trials that encompass risks unique to non-pharmacological interventions and all individuals involved. By focusing on these directions, we can streamline the process of capturing and reporting AEs and contribute to more impactful and sustainable outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.