Evidence map›Paper›PMID 41575780›Full record

ArticleJMIR research protocols2026

Retrieving Transgender and Gender Diverse Literature: Protocol for the Development and Validation of 2 Search Hedges.

Chi Dinh, Zack Marshall, Scott Marsalis, Ryn Gagen, Preet Kang, Avery Everhart

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Chi DinhDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.ORCID 0009-0000-3874-7300
Zack MarshallDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.ORCID 0000-0003-2315-3512
Scott MarsalisSciences, Agriculture & Engineering, University of Minnesota Libraries, University of Minnesota, Saint Paul, MN, United States.ORCID 0000-0001-9448-3813
Ryn GagenHealth Sciences Library, University of Minnesota, Saint Paul, MN, United States.ORCID 0009-0006-5874-0089
Preet KangFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.ORCID 0009-0009-8118-908X
Avery EverhartDepartment of Geography, Faculty of Arts, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-6146-0180

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSearching for transgender and gender diverse (TGD) references within large academic databases can be a challenging process, partly due to the dynamic and diverse definitions of words and terminologies used by multiple interest holders. Search hedges are preestablished search strings that aid in the efficacy of identifying and screening relevant articles. Validated search hedges focused on TGD people and topics will aid in identifying relevant literature.

objectiveThis study aims to develop and validate the sensitivity and precision of 2 interdisciplinary and cross-cultural TGD search hedges designed for retrieving references from MEDLINE and APA PsycInfo, both on the Ovid platform.

methodsSearches were conducted using the finalized search hedges via Ovid on June 7, 2024, yielding 31,055 references from MEDLINE and 22,924 references from APA PsycInfo. A random sample of 2330 records from MEDLINE and 2293 records from APA PsycInfo will be independently screened by at least 2 team members. At the title and abstract screening stage, references will be excluded if they (1) use solely binary terminology to describe gender, (2) focus on psychometric measurement of gender, or (3) focus on intersex or differences of sex development (DSD) topics. References will be included if they (1) report on transgender or gender diverse people, or both, in their sample; or (2) specifically discuss TGD communities or TGD topics. References without an abstract will be categorized as No_Abstract. References in which the TGD population is unclear will be categorized as LGB_Maybe_T or Mixed_Topics. Only references in the No_Abstract, LGB_Maybe_T, or Mixed_Topics categories will proceed to the full-text screening phase. In the full-text screening phase, references will be categorized as included if they (1) clearly distinguish between sexual identity and gender identity, (2) mention or discuss TGD topics or experiences in the Methods or Results sections, (3) communicate consideration for participants' gender self-identification and experiences, or (4) consider TGD populations as a distinct subpopulation. The results of the screening process will be used to calculate precision and sensitivity, with a targeted sensitivity of 100% and a targeted precision of 76% for each search hedge.

resultsValidation and data analysis are projected to be finished by December 2025, with results expected to be published in 2026.

conclusionsRigorous and transparent knowledge synthesis processes, starting with a high-quality search hedge, can help inform and equip community members, clinicians, policymakers, and other key decision-makers with scientifically sound evidence. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/76055.

Indexed as

Information Storage and RetrievalTransgender PersonsFemaleGender-Nonconforming PersonsHumansMaledatabase searchingevidence synthesisgender minorityinformation justicenonbinarysearch filter validationsearch hedge validationtransgenderTwo-Spirit

Identifiers

PMID41575780
PMCPMC12881892

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.