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Abstract Background There is a need to increase the capacity and capability of musculoskeletal researchers to design, conduct, and report high-quality clinical trials. The objective of this study was to identify and prioritise clinical trial learning needs of musculoskeletal researchers in Australia and Aotearoa New Zealand. Findings will be used to inform development of an e-learning musculoskeletal clinical trials course. Methods A two-round online modified Delphi study was conducted with an inter-disciplinary panel of musculoskeletal researchers from Australia and Aotearoa New Zealand, representing various career stages and roles, including clinician researchers and consumers with lived experience of musculoskeletal conditions. Round 1 involved panellists nominating 3–10 topics about musculoskeletal trial design and conduct that they believe would be important to include in an e-learning course about musculoskeletal clinical trials. Topics were synthesised and refined. Round 2 asked panellists to rate the importance of all topics (very important, important, not important), as well as select and rank their top 10 most important topics. A rank score was calculated whereby higher scores reflect higher rankings by panellists. Results Round 1 was completed by 121 panellists and generated 555 individual topics describing their musculoskeletal trial learning needs. These statements were grouped into 37 unique topics for Round 2, which was completed by 104 panellists. The topics ranked as most important were: (1) defining a meaningful research question (rank score 560, 74% of panellists rated topic as very important); (2) choosing the most appropriate trial design (rank score 410, 73% rated as very important); (3) involving consumers in trial design through to dissemination (rank score 302, 62% rated as very important); (4) bias in musculoskeletal trials and how to minimise it (rank score 299, 70% rated as very important); and (5) choosing the most appropriate control/comparator group (rank score 265, 65% rated as very important). Conclusions This modified Delphi study generated a ranked list of clinical trial learning needs of musculoskeletal researchers. Findings can inform training courses and professional development to improve researcher capabilities and enhance the quality and conduct of musculoskeletal clinical trials.

Targeted biologic therapies can elicit an undesirable host immune response characterized by the development of antidrug antibodies (ADA), an important cause of treatment failure. The most widely used biologic across immune-mediated diseases is adalimumab, a tumor necrosis factor inhibitor. This study aimed to identify genetic variants that contribute to the development of ADA against adalimumab, thereby influencing treatment failure. In patients with psoriasis on their first course of adalimumab, in whom serum ADA had been evaluated 6–36 months after starting treatment, we observed a genome-wide association with ADA against adalimumab within the major histocompatibility complex (MHC). The association signal mapped to the presence of tryptophan at position 9 and lysine at position 71 of the HLA-DR peptide-binding groove, with both residues conferring protection against ADA. Underscoring their clinical relevance, these residues were also protective against treatment failure. Our findings highlight antigenic peptide presentation via MHC class II as a critical mechanism in the development of ADA against biologic therapies and downstream treatment response.

We report measurements of flow transitions, from avalanching to rolling, for granular material in rotary kilns. In the avalanching mode, the surface slips periodically; in the intervals between avalanches, all particles rotate with the kiln. In the rolling mode, the surface particles slide down continuously; the material underneath the surface rotates with the kiln. Our measurements give Froude numbers (Rω2/g) for transitions, which are significantly different for sand and TiO2 powder. For the avalanching mode, we measured cycle times and deduced t12, the avalanche time; t12 was also measured directly by video photography. For kilns of diameters 0.2-0.5 m, both methods give t12, of order 1-2 sec and it appears to be proportional to √l, l being the chord length of the granular bed, the maximum distance of fall for avalanche material. Simple theory, assuming the avalanche particles slide down a frictional surface, gives fair estimates of t12 and may be a basis for predicting avalanche-to-rolling transitions in large industrial kilns.