Evidence map›Paper›PMID 41717497›Full record

ArticleAJO international2026

Association Between Self-Reported Smoking Behaviour and Fuchs Endothelial Corneal Dystrophy: A Cross-Sectional Analysis.

Andrew Mihalache, Ryan S Huang, Marko M Popovic, Clara C Chan

Abstract read
In one paragraph

Article in AJO international, 2026. 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

4 authors.

Andrew MihalacheTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Ryan S HuangTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Marko M PopovicDepartment of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.
Clara C ChanDepartment of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.

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
AOU NIH HHS WB999999NIH 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 OD023196
6 · The paper itself

Abstract

Purpose: To investigate whether smoking is associated with Fuchs endothelial corneal dystrophy (FECD). Design: Retrospective cross-sectional study. Subjects: Individuals with FECD in the Methods: Self-reported smoking behaviour was obtained from survey data. Primary outcomes assessed cigarette-related smoking behaviour among individuals with FECD compared to matched controls, and secondary outcomes evaluated the use of other tobacco and nicotine products. Conditional logistic and fixed-effects linear regression models were applied to examine binary and continuous outcomes, respectively. Results: The matched cohort included 13,409 participants (1,219 FECD cases and 12,190 controls). The odds of ever smoking ≥100 cigarettes did not differ between groups (OR=0.95, 95% CI=[0.85, 1.08], p=0.4). FECD cases reported a slightly shorter total duration of smoking (MD=-2.69, 95% CI=[-4.22, -1.15], p<0.01), although mean daily cigarette consumption did not differ significantly between groups (MD=-0.20, 95% CI=[-1.67, 1.27], p=0.8). Current smoking was less frequent among FECD cases (OR=0.58, 95% CI=[0.41, 0.81], p<0.01). No significant differences were observed for lifetime or current use of electronic nicotine products (p=0.4 and p=0.1), cigars or cigarillos (p=0.2 and p=0.4), hookah (p=1.0 and p=0.9), or smokeless tobacco (p=0.1 and p=0.9). Conclusions: This cross-sectional analysis of a large, nationally diverse cohort did not find evidence of an association between smoking behaviour and FECD, supporting emerging evidence that challenges the strength of this purported relationship. Nonetheless, these findings should not detract from the well-established systemic harms of smoking.

Identifiers

PMID41717497
PMCPMC12915898

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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.