Evidence map›Paper›PMID 40900590›Full record

ArticleJAMA network open2025

Hurricane Exposure and Risk of Long-Term Cardiovascular Disease Outcomes.

Arnab K Ghosh, Orysya Soroka, Monika Safford, Martin F Shapiro, Fei Wang, Glen D Johnson, Yasin Civelek, Charles DiMaggio, David Abramson

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. Not yet cited in PubMed.

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

9 authors.

Arnab K GhoshDepartment of Medicine, Weill Cornell Medicine, New York, New York.
Orysya SorokaDepartment of Medicine, Weill Cornell Medicine, New York, New York.
Monika SaffordDepartment of Medicine, Weill Cornell Medicine, New York, New York.
Martin F ShapiroDepartment of Medicine, Weill Cornell Medicine, New York, New York.
Fei WangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Glen D JohnsonDepartment of Environmental, Occupational and Geospatial Health Sciences, City University of New York Graduate School of Public Health and Health Policy, New York, New York.
Yasin CivelekDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Charles DiMaggioDepartment of Surgery, New York University School of Medicine, New York, New York.
David AbramsonSchool of Global Public Health, New York University, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Hurricanes are associated with increased cardiovascular disease (CVD) risk, yet little is known about whether these risks extend into the long term and for how long. Objective: To examine the association between hurricane-related flooding and CVD risk up to 5 years after landfall. Design, Setting, and Participants: This cohort study included a 20% national sample of continuously enrolled Medicare fee-for-service beneficiaries from New Jersey, New York City, and Connecticut from January 1, 2010, to December 31, 2017. Data were analyzed from December 14, 2023, to June 20, 2025. Exposure: Residence in zip code tabulation areas (ZCTAs) impacted by flooding from Hurricane Sandy throughout the study period. Main Outcomes and Measures: The primary outcome was the rate of ZCTA-level adjusted CVD events (including myocardial infarction [MI], heart failure [HF], and stroke), defined per 1000 beneficiary-years, with associated 95% bayesian credible intervals (bCrIs). Secondary outcomes included the rate of events for each CVD subtype (MI, HF, and stroke). Results: In the matched cohort, 121 395 beneficiaries resided in 690 ZCTAs, of which 441 (63.9%) flooded. In nonflooded vs flooded ZCTAs, mean (SD) age (74.2 [1.4] vs 74.1 [1.2] years; P = .16), proportion of female beneficiaries (61.4% [8.4%] vs 61.3% [6.6%]; P = .89), and proportion of White beneficiaries (74.3% [28.7%] vs 76.7% [26.8%]; P = .27) were similar, but ZCTA-level median income ($81 168 [$33 410] vs $69 650 [$27 594]; P < .001) and median National Area Deprivation Index rank (17.1 [IQR, 10.2-27.6] vs 21.0 [IQR, 10.9-32.5]; P = .02) differed; prevalence of CVD and CVD subtypes was similar at baseline. Flooding was associated with an increase in adjusted 5-year CVD risk post landfall (relative risk, 1.05; 95% bCrI, 1.01-1.08) and HF rates overall (relative risk, 1.03; 95% bCrI, 1.00-1.08). No significant difference was found in rates of MI or stroke in adjusted analyses. Conclusions and Relevance: In this cohort study of Medicare fee-for-service beneficiaries, hurricane-related flooding was associated with increases in CVD event rates as long as 5 years after landfall and increased HF rates in New Jersey. These findings highlight the importance of place-based vulnerability from hurricane exposure to mitigate longer-term CVD risk and the need to consider long-term outcomes in hurricane mitigation efforts.

Indexed as

Cardiovascular DiseasesCyclonic StormsAgedAged, 80 and overCohort StudiesConnecticutFemaleHumansMaleNew JerseyNew York CityRisk FactorsUnited States

Identifiers

PMID40900590
PMCPMC12409596

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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.