Evidence map›Paper›PMID 37525831›Full record

ArticleTransgender health2023

The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health.

Jack L Turban, Anthony N Almazan, Sari L Reisner, Alex S Keuroghlian

Abstract read
In one paragraph

Article in Transgender health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. The Impact of Organizational Climate Toward Sexual Minority Workers on Burnout: The Mediating Role of Quality of Work Life.New solutions : a journal of environmental and occupational health policy : NS · 2026
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  8. Sexual Orientation and Gender Diversity Research Manuscript Writing Guide.Psychology of sexual orientation and gender diversity · 2024
    Article
  9. Article
  10. Cisgender Privilege in Public Health Research.American journal of public health · 2024
    Article
  11. Article
  12. 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

4 authors.

Jack L TurbanDivision of Child & Adolescent Psychiatry, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0002-4877-254X
Anthony N AlmazanHarvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-8499-684X
Sari L ReisnerDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Alex S KeuroghlianHarvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-6624-8354

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population. Non-probability sample studies are often regarded as inferior due to uncertainty about their generalizability and external validity. In reality, non-probability sampling offers advantages that make this method particularly valuable for minority health research. In this perspective article, we review the strengths and limitations of probability and non-probability samples, examining three landmark survey studies used to study transgender and gender diverse mental health. We conclude that both types of studies provide important and actionable data about mental health inequities experienced by minority populations.

Indexed as

mental healthminority healthnon-probabilitytransgender

Identifiers

PMID37525831
PMCPMC10387152

What OpenQuestion holds

Textmetadata
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.