Methodological Limitations

• The study uses a retrospective cohort design which can only demonstrate associations but not causality, as acknowledged by the authors in the limitations section. The paper's title and conclusion imply an association between gender-affirmation surgery and increased suicide risk, but the temporal design cannot establish whether surgery preceded worsening mental health or whether patients with pre-existing severe mental health conditions were more likely to seek surgery.
• The study fails to control for critical confounding variables known to strongly influence suicide risk in transgender populations. The propensity matching only controlled for age, sex, race, and ethnicity, but did not match for baseline mental health status, depression severity, history of suicidal ideation prior to surgery, socioeconomic status, discrimination experiences, family support, or hormone therapy use—all well-established risk factors for suicide in this population.
• There is a fundamental selection bias in cohort composition: all patients in cohort A had both gender-affirmation surgery AND an emergency department visit, while control cohorts were defined by emergency visits alone (cohort B) or emergency visits plus sterilization procedures (cohort C). The emergency visit requirement for the exposure group but not properly matched controls introduces significant confounding, as emergency visits may themselves indicate underlying health crises or mental health emergencies.
• The study inappropriately uses tubal ligation/vasectomy and pharyngitis as control groups, which are clinically and psychosocially incomparable to gender-affirmation surgery. These procedures differ dramatically in motivation (elective sterilization vs. gender identity affirmation), psychological significance, patient preparation requirements, and social context. The authors' claim that these validate as 'appropriate controls' is methodologically unsound.
• The authors mischaracterize the Branstrom et al. 2019 study correction. The correction did not constitute a retraction, and the editors' note stated the results 'demonstrated no advantage of surgery in relation to subsequent mood or anxiety disorder-related health care'—not that surgery was harmful. The authors' framing suggests a directional bias in their literature interpretation.
• The study's hypothesis appears to have been directional (predicting greater risk post-surgery), and the authors state 'This was confirmed by comparing the two control groups.' This confirmatory framing, combined with the lack of a pre-registered protocol, raises concerns about confirmation bias and HARKing (hypothesizing after results are known).
• The ICD-10 code Z87.890 ('personal history of sex reassignment') used to identify patients is a historical diagnosis code that may capture patients who had surgery years or decades prior, not necessarily recent surgery. The 5-year follow-up window from 'index event' is ambiguously defined—whether this represents surgery date, code documentation date, or emergency visit date is unclear, creating immortal time bias concerns.
• The study exhibits ecological fallacy by treating 'sex' derived from electronic medical records as a straightforward matching variable, when transgender patients' sex/gender documentation in medical records is complex and may not reflect affirmed gender, potentially leading to misclassification in propensity matching.
• The results show dramatically different effect sizes between cohort B (RR 12.12) and cohort C (RR 4.71-5.03), suggesting extreme sensitivity to control group selection that undermines the reliability of any single estimate. This variability is not adequately explained or addressed.
• The authors acknowledge that patients may underreport suicidal ideation due to 'perceived attitudes toward those with psychiatric complaints,' yet fail to consider that transgender patients specifically face stigma and discrimination in healthcare settings that may differentially affect reporting compared to control groups, creating differential measurement bias.
• The study contains internal contradiction: the authors state 'individuals contemplating the procedure may potentially pose a greater suicide risk compared to those who have been approved for surgery,' yet their conclusion emphasizes post-surgical risk without acknowledging that their findings may reflect selection of higher-risk patients into surgery rather than surgery causing harm.
• The data source (TriNetX) provides de-identified records with no ability to verify surgical dates, confirm diagnoses through clinical interview, or assess whether multiple emergency visits represent the same patient—introducing potential duplicate counting and temporal ambiguity.
• The authors' disclosure of prior presentation at the 2023 Texas College of Emergency Physicians Research Forum, combined with the emergency medicine departmental affiliations of all authors, suggests potential specialty-based framing of transgender healthcare through an emergency medicine lens that may not capture longitudinal primary care or mental health contexts.
• The study's conclusion emphasizes 'comprehensive psychiatric care in the years that follow gender-affirmation surgery,' implying a surveillance/monitoring framing rather than affirming pre-existing standards of care that already require mental health support. This framing may reflect implicit bias regarding transgender healthcare.