Evidence map›Paper›PMID 39271092›Full record

ArticleAmerican journal of ophthalmology2025

Relationship Between Glaucoma and Chronic Stress Quantified by Allostatic Load Score in the All of Us Research Program.

Kristy Yoo, Connor Lee, Sally L Baxter, Benjamin Y Xu

Abstract read
In one paragraph

Article in American journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Meeting Challenges in the Diagnosis and Treatment of Glaucoma.Bioengineering (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Lifestyle Medicine for Glaucoma.Journal of current glaucoma practice
    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.

Kristy YooFrom the Keck School of Medicine at the University of Southern California (K.Y., B.Y.X.), Los Angeles, California.
Connor LeeRoski Eye Institute, Keck School of Medicine, University of Southern California (C.L., B.Y.X.), Los Angeles, California.
Sally L BaxterDivision of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego (S.L.B.), La Jolla, California; Division of Biomedical Informatics, Department of Medicine (S.L.B.), University of California San Diego, La Jolla, California, USA.
Benjamin Y XuFrom the Keck School of Medicine at the University of Southern California (K.Y., B.Y.X.), Los Angeles, California; Roski Eye Institute, Keck School of Medicine, University of Southern California (C.L., B.Y.X.), Los Angeles, California. Electronic address: benjamin.xu@med.usc.edu.

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NEI NIH HHS K23 EY029763NEI NIH HHS R01 EY035677NIH HHS DP5 OD029610NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

purposeTo assess the relationship between glaucoma and allostatic load (AL), an established framework for quantifying the physiologic effects of chronic stress through measurements of systemic biomarkers.

designRetrospective case-control study.

methodsParticipants of the National Institutes of Health All of Us (AoU) Research Program with complete AL biomarker data between December 1984 and June 2022 and with (cases) or without (controls) primary glaucoma were identified. AL scores were calculated using the adapted Seeman AL scale consisting of 10 systemic biomarkers: body mass index, systolic blood pressure, diastolic blood pressure, glycated hemoglobin, total cholesterol, triglycerides, glomerular filtration rate, albumin, C-reactive protein, and homocysteine. AL score was defined as the number of biomarkers with measurements in the highest risk quartiles. Age was calculated as the median age at the time of biomarker measurements. Logistic regression analysis was performed to assess the association between the earliest possible AL score and glaucoma adjusted for race or ethnicity. Mediation analysis was performed to estimate the relationship between race or ethnicity and glaucoma mediated by AL score.

resultsThe study cohort consisted of 349 cases (16.1%) and 1819 controls (83.9%) with 52.7% females, 2.2% Asians, 10.7% Blacks, 10.0% Hispanics, and 72.5% non-Hispanic Whites. At the earliest time point (median [interquartile range (IQR)] = 6.4 [1.9-12.2] years prior to diagnosis), cases had higher AL score than controls (3 [1-4] vs 2 [1-3], respectively; P < .001). On multivariable analysis, a higher AL score (OR=1.09 per point), Black race (OR=2.58), and Hispanic ethnicity (OR=2.12) conferred higher risk of glaucoma (P ≤ .02). The AL score partially mediated higher glaucoma risk among Blacks (7.5%) and Hispanics (5.0%) compared with non-Hispanic Whites. On subgroup analysis, higher AL score was significantly associated with primary open angle glaucoma (OR=1.11; P = .01) but not primary angle closure glaucoma (P = .87).

conclusionAoU participants with glaucoma had greater AL 6.4 years before diagnosis, and the AL score partially mediated racial or ethnic differences in glaucoma risk. These findings suggest chronic stress may increase risk for glaucoma and contribute to racial disparities in glaucoma burden.

Indexed as

AllostasisBiomarkersIntraocular PressureAgedBlood PressureBody Mass IndexCase-Control StudiesChronic DiseaseFemaleGlaucomaGlaucoma, Open-AngleGlomerular Filtration RateHumansMaleMiddle AgedRetrospective StudiesBiomarkers

Identifiers

PMID39271092
PMCPMC11634651

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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.