Retrospective Study Design
The study collected data from the past, meaning it cannot establish cause-and-effect relationships or account for all variables that might influence prescribing decisions.
All data came from one academic health system, limiting the generalizability of the findings to a broader population or other healthcare settings.
Lack of Comparator Group for Power Calculation
The authors noted the absence of a comparator group, which is crucial for calculating statistical power and confirming the robustness of the study's findings.
Inability to Confirm Etiology of Mood/Anxiety Symptoms
The study could not determine if gender dysphoria was the underlying cause of patients' mood and anxiety symptoms, potentially confounding the results related to antidepressant prescribing.
Unaccounted Confounding Variables
The study did not account for other factors that might alleviate depression and anxiety symptoms, such as gender-affirming care (hormones, surgery), psychotherapy, or other somatic treatments, which could explain why some patients weren't on antidepressants.
Snapshot of Prescribing at GD Diagnosis
The study only captured antidepressant prescribing at the time of gender dysphoria diagnosis, not the full trajectory of mental health treatment, potentially missing subsequent prescribing or reasons for non-prescription.
Limited Sample Size for Subgroup Analysis
While n=131 is reasonable for an exploratory study, it might be too small for robust subgroup analyses across different gender identities and specific antidepressant classes, leading to potentially underpowered findings.