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The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research.

Matthew FittallJustin LiuJames PlattMaria IonescuRemarez SheehanSukhmunni JohalRosie MewJames ClarkIzzy WattsArvind TripathyMartin LittleGrisma PatelHari PanneerselvamNathan AppannaEmma BurkeHayley McKenzieMichael TilbySam KhanLennard Y W Lee
Published in: British journal of cancer (2023)
The COVID-19 pandemic has led to a range of novel and adaptive research designs. In this perspective, we use our experience coordinating the National COVID Cancer Antibody Survey to demonstrate how a balance between speed and integrity can be achieved within a hyper-accelerated study design. Using the COVID-19 pandemic as an example, we show this approach is necessary in the face of uncertain and evolving situations wherein reliable information is needed in a timely fashion to guide policy. We identify streamlined participant involvement, healthcare systems integration, data architecture and real-world real-time analytics as key areas that differentiate this design from traditional cancer trials, and enable rapid results. Caution needs to be taken to avoid the exclusion of patient subgroups without digital access or literacy. We summarise the merits and defining features of hyper-accelerated cancer studies.
Keyphrases
  • papillary thyroid
  • healthcare
  • squamous cell
  • coronavirus disease
  • sars cov
  • lymph node metastasis
  • public health
  • mental health
  • deep learning
  • artificial intelligence
  • sensitive detection
  • affordable care act