Evidence map›Paper›PMID 40490370›Full record

ArticleBMJ open2025

Development of a large Danish single-centre retro- and prospective transgender cohort using a web-based platform: a study protocol of a transgender cohort study.

Emma Elisabeth Skovby Petersen, Frederika Kiy, Michael Winterdahl, Jakob Dal, Maria Lucia Pop, Gry Kjaersdam Telléus, Allan Stensballe, Ulrik Schiøler Kesmodel, Astrid Ditte Højgaard

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Emma Elisabeth Skovby PetersenSexological Center, Aalborg University Hospital, Aalborg, Denmark emma.petersen@rn.dk.ORCID http://orcid.org/0009-0003-4470-1001
Frederika KiySexological Center, Aalborg University Hospital, Aalborg, Denmark.
Michael WinterdahlSexological Center, Aalborg University Hospital, Aalborg, Denmark.
Jakob DalDepartment of Endocrinology, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-0610-7867
Maria Lucia PopAalborg University Hospital, Aalborg, Denmark.
Gry Kjaersdam TelléusPsychiatry, Aalborg University Hospital, Aalborg, Denmark.
Allan StensballeDepartment of Health Science and Technology, Aalborg University, Aalborg, Region Nordjylland, Denmark.
Ulrik Schiøler KesmodelDepartment of clinical medicine, Aalborg University, Aalborg, Region Nordjylland, Denmark.
Astrid Ditte HøjgaardSexological Center, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-8866-8181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionReferrals for gender-affirming healthcare services have surged in recent decades, presumably driven by increased visibility, acceptance and reduced barriers to care. Despite these advances, transgender and gender-diverse individuals continue to face significant mental health challenges, including elevated rates of anxiety, depression as well as high prevalence of autistic traits. Gender-affirming hormonal treatment (GAHT) has been suggested to improve mental health and quality of life (QoL) among transgender individuals; however, the short- and long-term treatment effects of GAHT are not yet fully understood. Therefore, this study aims to establish a comprehensive cohort of transgender individuals at the Centre for Gender Identity (CGI), Aalborg University Hospital, Denmark, to enhance understanding and treatment outcomes. METHODS AND ANALYSIS: The Transgender Cohort (TraCK) will recruit participants from February 14, 2024, with recruitment occurring continuously alongside yearly follow-up. This single-centre cohort study will include both retrospective and prospective data collection. Transgender individuals referred to CGI will be invited to participate in the study via the Danish digital mail system called e-Boks. Participants must provide informed consent and complete a baseline questionnaire. Data will be collected from self-reported questionnaires and medical records across multiple specialists. Self-reported questionnaires include WHO-Quality of Life BREF, Eating Disorders Examination Questionnaire, Autism Spectrum Quotient, Transgender Congruence Scale, and Gender Minority Stress and Resilience Measure. Medical records will provide information on demographics, mental health, physical health, and gender-affirming treatment details. Data will be managed using REDCap, ensuring compliance with GDPR and the National Data Protection Act. ETHICS AND DISSEMINATION: While recognising the potential privacy risks associated with data collection, the study considers these outweighed by the benefits of advancing knowledge on gender diversity and the impacts of gender-affirming care. The North Jutland Region Ethics Committee reviewed the project, determining no formal approval was needed, but it was registered and approved (no. F2024-012) by the North Jutland Region. Findings will be disseminated through peer-reviewed journals, conferences, and accessible reports for participants. REGISTRATION DETAILS: This study is registered with the North Jutland Region (no. F2024-012). Recruitment and data collection began on February 14, 2024, and will continue alongside yearly follow-up.

Indexed as

Gender-Affirming ProceduresTransgender PersonsAdultCohort StudiesDenmarkFemaleHumansInternetMaleProspective StudiesQuality of LifeResearch DesignSurveys and QuestionnairesHealth Services for Transgender PersonsSexual and Gender MinoritiesTransgender Persons

Identifiers

PMID40490370
PMCPMC12161306

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.