Evidence map›Paper›PMID 39694068›Full record

ArticleApplied clinical informatics2024

Reference Ranges for All: Implementing Reference Ranges for Transgender and Nonbinary Patients.

Anthony B Cardillo, Dan Chen, Nina Haghi, Luke O'Donnell, Jeffrey Jhang, Paul A Testa, Nicholas Genes

Abstract readCase Reports
In one paragraph

Article in Applied clinical informatics, 2024. 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

7 authors.

Anthony B CardilloMCIT Department of Health Informatics, NYU Langone Health, New York, United States.
Dan ChenDepartment of Pathology, NYU Langone Health, New York, United States.
Nina HaghiDepartment of Pathology, NYU Langone Health, New York, United States.
Luke O'DonnellDepartment of Medicine, NYU Langone Health, New York, United States.
Jeffrey JhangDepartment of Pathology, NYU Langone Health, New York, United States.
Paul A TestaMCIT Department of Health Informatics, NYU Langone Health, New York, United States.
Nicholas GenesMCIT Department of Health Informatics, NYU Langone Health, New York, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to highlight the necessity of developing and implementing appropriate reference ranges for transgender and nonbinary (TGNB) patient populations to minimize misinterpretation of laboratory results and ensure equitable health care. CASE REPORT: We describe a situation where a TGNB patient's abnormal laboratory values were not flagged due to undefined reference ranges for gender "X" in the Laboratory Information System (LIS). Implementation of additional reference ranges mapped to sex label "X" showed significant improvement in flagging abnormal lab results, utilizing sex-invariant reporting as an interim solution while monitoring developments on TGNB-specific reference ranges.

conclusionInformatics professionals should assess their institution's policies for registration and lab reporting on TGNB patients as nonimplementation poses significant patient safety risks. Best practices include using TGNB-specific reference ranges emerging in the literature, reporting both male and female reference ranges for clinical interpretation and sex-invariant reporting.

Indexed as

Transgender PersonsFemaleHumansMaleReference Values

Identifiers

PMID39694068
PMCPMC11655151

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.