Evidence map›Paper›PMID 37013093›Full record

ArticleTransgender health2023

Determining the Sex Assigned at Birth of Transgender and Nonbinary Populations in Administrative Claims Databases Utilizing Diagnostic and Procedure Codes.

Caleb Haley, Anca Tilea, Daphna Stroumsa, Molly B Moravek, Vanessa K Dalton, Halley P Crissman

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Caleb HaleySection of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Anca TileaDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA.
Daphna StroumsaDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA.
Molly B MoravekDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA.
Vanessa K DaltonDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA.
Halley P CrissmanDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-3061-9667

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Widespread conflation of sex assigned at birth and gender has hindered the identification of transgender and nonbinary people in large datasets. The study objective was to develop a method of determining the sex assigned at birth of transgender and nonbinary patients utilizing sex-specific diagnostic and procedural codes, for future use in administrative claims databases, with a goal of expanding the available datasets for exploring sex-specific conditions among transgender and nonbinary people. Methods: Authors reviewed indexes of International Classification of Diseases (ICD) and Current Procedural Terminology (CPT) codes, and medical record data from a single institution's gender-affirming clinics. Sex-specific ICD and CPT codes were identified through author review and consultation with subject experts. Patient's sex assigned at birth determined by chart review, as a gold standard, was compared with sex assigned at birth determined by querying their electronic health records for natal sex-specific codes. Results: Sex-specific codes correctly identified 53.5% ( Conclusions: ICD and CPT codes can be used to specifically determine the sex assigned at birth in databases where this information is not recorded. This methodology has novel potential for use in exploring sex-specific conditions among transgender and nonbinary patients in administrative claims data.

Indexed as

administrative claims dataquantitative method developmentsex and gender conflationsex assigned at birthtransgender and nonbinary

Identifiers

PMID37013093
PMCPMC10066769

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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.