Evidence map›Paper›PMID 40924425›Full record

ArticleJAMA network open2025

Daylight Savings Time and Acute Myocardial Infarction.

Jennifer A Rymer, Shuang Li, Karen Chiswell, Aman Kansal, Michael G Nanna, Jorge Antonio Gutierrez, Dmitriy N Feldman, Sunil V Rao, Rajesh V Swaminathan

Abstract read
In one paragraph

Article in JAMA network open, 2025. 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. Sleep loss as a cardiometabolic risk factor: a narrative review of clinical and public health implications.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Review
  2. Article
  3. 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

9 authors.

Jennifer A RymerDivision of Cardiology, Duke University Hospital, Durham, North Carolina.
Shuang LiDuke Clinical Research Institute, Durham, North Carolina.
Karen ChiswellDuke Clinical Research Institute, Durham, North Carolina.
Aman KansalDivision of Cardiology, Duke University Hospital, Durham, North Carolina.
Michael G NannaYale School of Medicine, New Haven, Connecticut.
Jorge Antonio GutierrezDivision of Cardiology, Duke University Hospital, Durham, North Carolina.
Dmitriy N FeldmanWeill Cornell Medical College, NewYork-Presbyterian Hospital, New York.
Sunil V RaoNew York University Grossman School of Medicine and New York University Langone Health System, New York.
Rajesh V SwaminathanDivision of Cardiology, Duke University Hospital, Durham, North Carolina.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Estimating the treatment effect of cardiovascular medications to modify the risk for future cognitive decline in older adultsK76AG088428 · NIA · YALE UNIVERSITY · PI Michael Nanna · 2024 to 2026
$729k
NIA NIH HHS K76 AG088428NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

Importance: Previous data suggest that the time changes associated with daylight savings time (DST) may be associated with an increased incidence of acute myocardial infarction (AMI). Objective: To determine whether the incidence of patients presenting with AMI is greater during the weeks during or after DST and compare the in-hospital clinical events between the week before DST and after DST. Design, Setting, and Participants: This cross-sectional study examined patients enrolled in the Chest Pain MI Registry from 2013 to 2022. The study included patients who presented 1 week before DST, during the week of DST, or 1 week after DST (spring or fall) and assessed incidence of AMI, in-hospital mortality, stroke, and clinical outcomes during those times and compared the DST weeks with the week before or after. Data were analyzed from March 2024 to May 2025. Main Outcome and Measure: The main outcome was in-hospital mortality rate. The incidence ratio (IR) of AMI cases was calculated using the observed number of patients with AMI in the DST week divided by the number of patients with AMI who arrived 1 week before or after DST. Results: The final cohort included 168 870 patients (median [IQR] age, 65 [56-75] years, 57 023 females [33.8%]; 111 847 males [66.2%]) at 1124 hospitals during the study period. There were 28 678 patients (17.0%) with AMI treated during spring DST, 28 596 (16.9%) the week before, and 28 169 (16.7%) the week after. There were 27 942 patients (16.5%) with AMI treated during fall DST, 27 365 (16.2%) the week before, and 28 120 (16.7%) the week after. Patient characteristics were similar for the spring and fall DST analyses (spring and fall DST median [IQR] age across groups: 65 [56-74] years and 65 [56-75] years, respectively), and there were 28 725 females (33.6%) in the spring and 28 298 females (33.9%) in the fall. There was no significant difference in the incidence of AMI for the following time periods: spring DST week vs 1 week prior, spring DST week vs 1 week after, fall DST week vs 1 week prior, and fall DST week vs 1 week after. There were no significant differences in adjusted in-hospital outcomes for the 1 week before or after fall or spring DST. Conclusions and Relevance: This study found no significant difference in the incidence rates of AMI in DST weeks compared with the week before or after. Additionally, there were no differences in in-hospital clinical outcomes.

Indexed as

Myocardial InfarctionAgedCross-Sectional StudiesFemaleHospital MortalityHumansIncidenceMaleMiddle AgedRegistriesSeasonsTime Factors

Identifiers

PMID40924425
PMCPMC12421335

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.