What question did this study set out to answer?

Examine the clinical dangers of prematurely categorizing COVID-19 patients into distinct disease subtypes without adequate data-driven verification.

June 1, 2020European Respiratory JournalOpen Access

The perils of premature phenotyping in COVID-19: a call for caution

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Authors

LBLieuwe D. J. BosAmsterdam Neuroscience PSPratik SinhaUniversity of California, San Francisco RDRobert P. DicksonMichigan Department of Health and Human Services

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Implication

Expert commentary reveals risks of premature phenotyping in COVID-19 patients, indicating that cognitive biases distort clinical data without objective validation.

Key Points

Examine the clinical dangers of prematurely categorizing COVID-19 patients into distinct disease subtypes without adequate data-driven verification.
Critical commentary evaluating the intersection of cognitive bias and disease subtype categorization in COVID-19 clinical practice.
Premature patient classification exposes individuals to preventable clinical risks by establishing therapeutic assumptions that lack empirical support.
Subjective classification allows cognitive biases to warp clinical observations into phenotype-driven data rather than generating phenotypes grounded strictly in objective evidence.

Cite This Study

Bos et al. (2020) studied this question.

synapsesocial.com/papers/6ab1d679b66599892cb3743f https://doi.org/10.1183/13993003.01768-2020

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Implication

Expert commentary reveals risks of premature phenotyping in COVID-19 patients, indicating that cognitive biases distort clinical data without objective validation.

The perils of premature phenotyping in COVID-19: a call for caution

Discussion

Member takes

Implication

Key Points

Cite This Study

The perils of premature phenotyping in COVID-19: a call for caution

Discussion

Member takes

Implication

Key Points

Cite This Study

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