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Updated: Aug 25, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
The failure of drug repurposing for COVID-19 as an effect of excessive hypothesis testing and weak mechanistic
Mariusz Maziarz1,2, Adrian Stencel3
1Interdisciplinary Centre for Ethics, Jagiellonian University, Grodzka 52, Kraków, Poland. mariusz.maziarz@uj.edu.pl.
Abstract:
The current strategy of searching for an effective treatment for COVID-19 relies mainly on repurposing existing therapies developed to target other diseases. Conflicting results have emerged in regard to the efficacy of several tested compounds but later results were negative. The number of conducted and ongoing trials and the urgent need for a treatment pose the risk that false-positive results will be incorrectly interpreted as evidence for treatments' efficacy and a ground for drug approval. Our purpose is twofold. First, we show that the number of drug-repurposing trials can explain the false-positive results. Second, we assess the evidence for treatments' efficacy from the perspective of evidential pluralism and argue that considering mechanistic evidence is particularly needed in cases when the evidence from clinical trials is conflicting or of low quality. Our analysis is an application of the program of Evidence Based Medicine Plus (EBM+) to the drug repurposing trials for COVID. Our study shows that if decision-makers applied EBM+, authorizing the use of ineffective treatments would be less likely. We analyze the example of trials assessing the efficacy of hydroxychloroquine as a treatment for COVID-19 and mechanistic evidence in favor of and against its therapeutic power to draw a lesson for decision-makers and drug agencies on how excessive hypothesis testing can lead to spurious findings and how studying negative mechanistic evidence can be helpful in discriminating genuine from spurious results.
Insights
Drug repurposing for COVID-19 treatments risks false positives due to numerous trials. Evidence Based Medicine Plus (EBM+) can improve decision-making by integrating mechanistic data, reducing the likelihood of approving ineffective therapies.
Area of Science:
- Medical research methodology
- Evidence-based medicine
- Pharmacology
Background:
- Current COVID-19 treatment strategies heavily rely on repurposing existing drugs.
- Conflicting clinical trial results and the urgent need for treatments increase the risk of misinterpreting data and approving ineffective therapies.
Purpose of the Study:
- To demonstrate how the high volume of drug repurposing trials contributes to false-positive efficacy results.
- To evaluate treatment efficacy using evidential pluralism, emphasizing the need for mechanistic evidence alongside clinical data, especially when trial results are conflicting or low-quality.
Main Methods:
- Application of the Evidence Based Medicine Plus (EBM+) program to COVID-19 drug repurposing trials.
- Analysis of clinical trial data and mechanistic evidence for hydroxychloroquine as a COVID-19 treatment.
Main Results:
- The number of drug repurposing trials is a significant factor in generating false-positive findings.
- Applying EBM+ principles can decrease the probability of authorizing ineffective treatments.
- Examining both positive and negative mechanistic evidence aids in distinguishing genuine therapeutic effects from spurious results.
Conclusions:
- Decision-makers and regulatory agencies must be cautious about excessive hypothesis testing in drug repurposing.
- Integrating mechanistic evidence with clinical trial data, particularly through frameworks like EBM+, is crucial for reliable drug efficacy assessment and approval, as exemplified by hydroxychloroquine trials.
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