Evidence map›Paper›PMID 38551561›Full record

ArticleJAMA network open2024

Prevalence, Morbidity, and Mortality of Men With Sex Chromosome Aneuploidy in the Million Veteran Program Cohort.

Shanlee M Davis, Craig Teerlink, Julie A Lynch, Bryan R Gorman, Meghana Pagadala, Aoxing Liu, Matthew S Panizzon, Victoria C Merritt, Giulio Genovese, Judith L Ross and 1 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
10.5field-weighted citation impact, top 1% of its field
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  10. Update on Physical, Psychological, and Quality of Life Management in Klinefelter Syndrome.The Journal of clinical endocrinology and metabolism · 2025
    Review
  11. Article
  12. X and Y gene dosage effects are primary contributors to human sexual dimorphism: The case of height.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 9 institutions in 2 countries.

Shanlee M DavisDepartment of Pediatrics, University of Colorado School of Medicine, Aurora.
Craig TeerlinkVA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System, Salt Lake City, Utah.
Julie A LynchVA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System, Salt Lake City, Utah.
Bryan R GormanVA Boston Healthcare System, Boston, Massachusetts.
Meghana PagadalaMedical Scientist Training Program, University of California San Diego, La Jolla.
Aoxing LiuUniversity of Helsinki Institute for Molecular Medicine, Helsinki, Finland.
Matthew S PanizzonCenter for Behavioral Genetics of Aging, School of Medicine, University of California San Diego, La Jolla.
Victoria C MerrittDepartment of Psychiatry, University of California San Diego, La Jolla.
Giulio GenoveseProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Boston, Massachusetts.
Judith L RossNemours Children's Hospital Delaware, Wilmington.
Richard L HaugerCenter for Behavioral Genetics of Aging, School of Medicine, University of California San Diego, La Jolla.
University of California San Diego · USVA San Diego Healthcare System · USBroad Institute · USThomas Jefferson University · USUniversity of Colorado Denver · USUniversity of Helsinki · FIUniversity of Massachusetts Lowell · USUniversity of Utah · USVA Boston Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The reported phenotypes of men with 47,XXY and 47,XYY syndromes include tall stature, multisystem comorbidities, and poor health-related quality of life (HRQOL). However, knowledge about these sex chromosome aneuploidy (SCA) conditions has been derived from studies in the less than 15% of patients who are clinically diagnosed and also lack diversity in age and genetic ancestry. Objectives: To determine the prevalence of clinically diagnosed and undiagnosed X or Y chromosome aneuploidy among men enrolled in the Million Veteran Program (MVP); to describe military service metrics of men with SCAs; and to compare morbidity and mortality outcomes between men with SCA with and without a clinical diagnosis vs matched controls. Design, Setting, and Participants: This cross-sectional study used a case-control recruitment design to select biological males enrolled in the MVP biobank in the US Veterans Administration health care system from 2011 to 2022. Cases were participants with 47,XXY syndrome or 47,XYY syndrome, matched 1:5 with controls based on sex, age, and genetic ancestry. Data were analyzed from January 2022 to December 2023. Exposure: Genomic identification of an additional X or Y chromosome. Main Outcomes and Measures: Outcomes of interest included prevalence of men with SCAs from genomic analysis; clinical SCA diagnosis; Charlson Comorbidity Index; rates of outpatient, inpatient, and emergency encounters per year; self-reported health outcomes; and standardized mortality ratio. Results: Of 595 612 genotyped males in the MVP, 862 had an additional X chromosome (47,XXY) and 747 had an extra Y chromosome (47,XYY), with the highest prevalence among men with East Asian (47,XXY: 10 of 7313 participants; 47,XYY: 14 of 7313 participants) and European (47,XXY: 725 of 427 143 participants; 47,XYY: 625 of 427 143 participants) ancestry. Mean (SD) age at assessment was 61 (12) years, at which point 636 veterans (74.X%) with 47,XXY and 745 veterans (99%) with 47,XYY remained undiagnosed. Individuals with 47,XXY and 47,XYY had similar military service history, all-cause standardized mortality ratio, and age of death compared with matched controls. Individuals with SCA, compared with controls, had higher Charlson Comorbidity Index scores (47,XXY: mean [SD], 4.30 [2.72] vs controls: mean [SD], 3.90 [2.47]; 47,XYY: mean [SD], 4.45 [2.90] vs controls: mean [SD], 3.82 [2.50]) and health care utilization (eg, median [IQR] outpatient encounters per year: 47,XXY, 22.6 [11.8-37.8] vs controls, 16.8 [9.4-28]; 47,XYY: 21.4 [12.4-33.8] vs controls: 17.0 [9.4-28.2]), while several measures of HRQOL were lower (eg, mean [SD] self-reported physical function: 47,XXY: 34.2 [12] vs control mean [SD] 37.8 [12.8]; 47,XYY: 36.3 [11.6] vs control 37.9 [12.8]). Men with a clinical diagnosis of 47,XXY, compared with individuals without a clinical diagnosis, had higher health care utilization (eg, median [IQR] encounters per year: 26.6 [14.9-43.2] vs 22.2 [11.3-36.0]) but lower Charlson Comorbidity Index scores (mean [SD]: 3.7 [2.7] vs 4.5 [4.1]). Conclusion and Relevance: In this case-control study of men with 47,XXY and 47,XYY syndromes, prevalence of SCA was comparable with estimates in the general population. While these men had successfully served in the military, they had higher morbidity and reported poorer HRQOL with aging. Longer longitudinal follow-up of this sample will be informative for clinical and patient-reported outcomes, the role of ancestry, and mortality statistics.

Indexed as

Sex Chromosome DisordersVeteransXYY KaryotypeAneuploidyCase-Control StudiesCross-Sectional StudiesFemaleHumansMaleMorbidityPrevalenceQuality of LifeSex Chromosome AberrationsSex Chromosomes

Identifiers

PMID38551561
PMCPMC10980972
OpenAlexW4393308152

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.