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Treatment resistance analysis over time demonstrates declining efficacy of certain AGA interventions with prolonged use. The continuous Bayesian model captures temporal dynamics of treatment response.

FIGURE 4

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Source Paper

Hair regrowth treatment efficacy and resistance in androgenetic alopecia: A systematic review and continuous Bayesian network meta-analysis.

Frontiers in medicine (2022)

PMID: 36755885

DOI: 10.3389/fmed.2022.998623

Cite This Figure

![FIGURE 4: Treatment resistance analysis over time demonstrates declining efficacy of certain AGA interventions with prolonged use. The continuous Bayesian model captures temporal dynamics of treatment response.](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900126/bin/fmed-09-998623-g004.jpg)

> Source: Peter R Feldman et al. "Hair regrowth treatment efficacy and resistance in androgenetic alopecia: A syst." *Frontiers in medicine*, 2022. PMID: [36755885](https://pubmed.ncbi.nlm.nih.gov/36755885/)

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  <img src="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900126/bin/fmed-09-998623-g004.jpg" alt="Treatment resistance analysis over time demonstrates declining efficacy of certain AGA interventions with prolonged use. The continuous Bayesian model captures temporal dynamics of treatment response." />
  <figcaption>FIGURE 4. Treatment resistance analysis over time demonstrates declining efficacy of certain AGA interventions with prolonged use. The continuous Bayesian model captures temporal dynamics of treatment response.<br>  Source: Peter R Feldman et al. "Hair regrowth treatment efficacy and resistance in androgenetic alopecia: A syst." <em>Frontiers in medicine</em>, 2022. PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/36755885/">36755885</a></figcaption>
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