Evidence map›Paper›PMID 40122917›Full record

ArticleNature communications2025

Floods and cause-specific mortality in the United States applying a triply robust approach.

Lingzhi Chu, Joshua L Warren, Erica S Spatz, Sarah Lowe, Yuan Lu, Xiaomei Ma, Joseph S Ross, Harlan M Krumholz, Kai Chen

Abstract read
In one paragraph

Article in Nature communications, 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. Article
  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.

Lingzhi ChuDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0002-7613-2769
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, 06520, USA.
Erica S SpatzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, 06510, USA.
Sarah LoweDepartment of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0001-9544-4234
Yuan LuCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, 06510, USA.
Xiaomei MaDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0001-9472-8032
Joseph S RossCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0002-9218-3320
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0003-2046-127X
Kai ChenDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, 06520, USA. kai.chen@yale.edu.ORCID http://orcid.org/0000-0002-0164-1112

Funding

Extreme Heat and Acute Myocardial Infarction: Effect Modifications by Sex, Medical History, and Air PollutionR01HL169171 · NHLBI · YALE UNIVERSITY · PI Kai Chen · 2023 to 2026
$2.9M
NHLBI NIH HHS R01 HL169171U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL169171
6 · The paper itself

Abstract

The health impact of floods has not been well characterized. This study evaluated long-term associations between cause-specific mortality rates and county-level monthly flood days (excluding coastal floods caused by tropical storms) in the post-flood year in the contiguous U.S., using a triply robust approach incorporating propensity score, counterfactual estimation, and confounder adjustment. Death records came from the CDC National Center for Health Statistics (2001-2020) and floods came from the NOAA Storm Events Database (2000-2020). We found that one flood day was associated with 8.3 (95% CI: 2.5 to 14.1) excess all-cause deaths per 10 million individuals, 3.1 due to myocardial infarction, 2.4 due to respiratory diseases, and 5.9 due to external causes. From 2001 to 2020, 22,376 (95% CI: 6,758 to 37,993) all-cause deaths were attributable to floods. Our findings highlight the long-term health risks after floods, and a need for measures to reduce these risks.

Indexed as

FloodsMortalityCause of DeathFemaleHumansMaleMyocardial InfarctionPropensity ScoreRespiratory Tract DiseasesUnited States

Identifiers

PMID40122917
PMCPMC11930965

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.