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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
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Northern Cape , South Africa , United States , United Kingdom , University College , New South Wales , Dan Adler , Richiardi Jonas , Victor Castro , Stacey Fisher , Boris Janssen , Laure Wynants , Vinyas Harish , Daniel Stahl , Viknesh Sounderajah , Evangelos Kanoulas , Conrad Harrison , Alex Garaiman , Junfeng Wang , Brooke Levis , Frank Rademakers , Adrian Barnett , Van Leeuwen , Jie Ma , Zane Perkins , Rachel Kuo ,

Let's make poor reporting of early phase dose finding clinical trials a thing of the past

In 2017, I was drafting the first manuscript for a phase I clinical trial. I was familiar with the consolidated standards of reporting trials (Consort) for randomised parallel group trials, so I was surprised by the absence of Consort reporting guidance tailored for early phase dose finding trials.

After searching top medical journals for published dose finding trials to assess how they had been reported, I found huge variation in what was being reported and their quality. This presented some big problems for medical research poor reporting in clinical trials jeopardises patient safety, erodes public trust, wastes vital resources, and hinders medical progress. Despite the pivotal role of these trials in shaping future clinical development, the importance of quality reporting had arguably been overlooked. It’s undeniable: we need robust reporting guidelines to enhance transparency and ensure reproducibility.

Serendipitously, … ....

United Kingdom , Doug Altman , Christina Yap , Institute Of Cancer Research Clinical Trials , Cancer Research United Kingdom , Research Integrity , National Institute For Health , Care Research , United Kingdom Medical Research Council , Methodology Research Programme Grant , Adaptive Design Consort , National Institute , Research Programme , Cancer Research Clinical Trials , Statistics Unit ,

Scientists warn of 'majority' of badly run medical...

More than half of medical research clinical trials analysed showed a high risk of bias. It was especially bad for drug and alcohol studies. ....

South Africa , United Kingdom , Doug Altman , Mike Clarke , Frances Shiely , Shaun Treweek , Stefania Pirosca , Cochrane Review , British Medical Journal , Retraction Watch ,