The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Demographic and temporal trends in transgender identities and gender confirming surgery
Open accessAbstract
Transgender and gender non-binary (TGNB) individuals are a growing demographic with unique healthcare needs. Amid changes in public and private insurance coverage of gender confirming surgeries (GCS), utilization of these procedures is increasing. Meanwhile, systemic barriers continue to limit access to gender confirming care and perpetuate health disparities among TGNB individuals. Studies on the prevalence of TGNB identities and utilization of GCS are limited by a lack of gender identity data in population-based surveys and electronic medical records. However, data collection on gender identity is improving, and will be essential for characterizing the healthcare practices and needs of TGNB individuals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Coleman, E., Bockting, W., Botzer, M., Cohen-Kettenis, P., DeCuypere, G., Feldman, J., Fraser, L., Green, J., Knudson, G., Meyer, W. J., et al. (2012) · International Journal of Transgenderism · doi:10.1080/15532739.2011.700873 · Cited by 3,143
Hembree, W. C., Cohen-Kettenis, P. T., Gooren, L., Hannema, S. E., Meyer, W. J., Murad, M. H., Rosenthal, S. M., Safer, J. D., Tangpricha, V., & T’Sjoen, G. G. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-01658 · Cited by 2,328
Injustice at Every Turn: A Report of the National Transgender Discrimination Survey
Grant, J. M., Motter, L. A., & Tanis, J. (2011) · Cited by 2,065
Meerwijk, E. L., & Sevelius, J. M. (2017) · American Journal of Public Health · doi:10.2105/ajph.2016.303578 · Cited by 799
How Many Adults Identify as Transgender in the United States
Flores, A. R., Herman, J. L., Gates, G. J., & Brown, T. N. T. (2016) · eScholarship (California Digital Library) · Cited by 688
Systematic Review and Meta-Analysis of Prevalence Studies in Transsexualism
Arcelus, J., Bouman, W. P., Van Den Noortgate, W., Claes, L., Witcomb, G., & Fernandez-Aranda, F. (2015) · European Psychiatry · doi:10.1016/j.eurpsy.2015.04.005 · Cited by 490
Transgender Health in Massachusetts: Results From a Household Probability Sample of Adults
Conron, K. J., Scott, G., Stowell, G. S., & Landers, S. J. (2012) · American Journal of Public Health · doi:10.2105/ajph.2011.300315 · Cited by 486
Hembree, W. C., Cohen-Kettenis, P. T., Gooren, L., Hannema, S. E., Meyer, W. J., Murad, M. H., Rosenthal, S. M., Safer, J. D., Tangpricha, V., & T'Sjoen, G. G. (2017) · Endocrine Practice · doi:10.4158/1934-2403-23.12.1437 · Cited by 408
White Hughto, J. M., & Reisner, S. L. (2016) · Transgender Health · doi:10.1089/trgh.2015.0008 · Cited by 405
A Two-Question Method for Assessing Gender Categories in the Social and Medical Sciences
Tate, C. C., Ledbetter, J. N., & Youssef, C. P. (2013) · Journal of Sex Research · doi:10.1080/00224499.2012.690110 · Cited by 383
Metadata
- Authors
- Nolan, I. T., Kuhner, C. J., & Dy, G. W.
- Venue
- Translational Andrology and Urology
- Publisher
- AME Publishing Company
- Published
- 2019-06
- Volume
- 8
- Issue
- 3
- Pages
- 184-190
- ISSN
- 2223-4683 (ISSN-L)
- 2223-4691
- OpenAlex
- W2944716173
- Cited by
- 293
- References
- 24
- FWCI
- 37.19
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Demographic and temporal trends in transgender identities and gender confirming surgery. https://app.cochat.ai/papers/10.21037/tau.2019.04.09
- The paper
- Nolan, I. T., Kuhner, C. J., & Dy, G. W. (2019). Demographic and temporal trends in transgender identities and gender confirming surgery. Translational Andrology and Urology. https://doi.org/10.21037/tau.2019.04.09
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
