Evidence map›Paper›PMID 41583927›Full record

ArticleResuscitation plus2026

Influence of extreme temperatures on out-of-hospital cardiac arrest cases in Hungary: a national time-series analysis.

Bettina Nagy, Ádám Pál-Jakab, Boldizsár Kiss, Anna Morvai, Bence Sipos, György Pápai, Gábor Csató, Gábor Orbán, Nora Boussoussou, Béla Merkely and 4 more

Abstract read
In one paragraph

Article in Resuscitation plus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Bettina NagyHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.
Ádám Pál-JakabHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.
Boldizsár KissHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.
Anna MorvaiHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.
Bence SiposBudapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary.
György PápaiHungarian National Ambulance Service (HNAS), Markó Street 22, 1055 Budapest, Hungary.
Gábor CsatóHungarian National Ambulance Service (HNAS), Markó Street 22, 1055 Budapest, Hungary.
Gábor OrbánHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.
Nora BoussoussouHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.
Béla MerkelyHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.
Péter SótonyiHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.
András GerencsérPannon University, Faculty of Engineering, Egyetem Street 10, 8200 Veszprém, Hungary.
Brigitta SzilágyiBudapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary.
Endre ZimaHeart and Vascular Centre, Semmelweis University, 1122 Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Out-of-hospital cardiac arrest (OHCA) represents a critical public health challenge, with poor survival. Our objective was to evaluate the association between extreme temperature events and OHCA incidence in Hungary, and to assess the potential influence of additional meteorological factors, including humidity and solar radiation. Methods: We conducted a national time-series analysis of 116,579 adult OHCA cases from November 1, 2018, to December 31, 2023. Using negative binomial regression with cluster-robust standard errors, we estimated associations between daily OHCA counts and extreme temperature events, controlling for day-of-week, seasonality, and long-term trends. "Added-effect" models isolated risk attributable to sustained events while controlling for underlying non-linear temperature-health relationships through natural cubic splines. Distributed lag non-linear models (DLNM) characterized exposure-lag-response patterns over 21 days. Results: The temperature-OHCA relationship exhibited a characteristic U-shape with minimum risk at 19.0 °C. Sustained cold spells (≥2 days with daily minimum temperature ≤-9.2 °C, 2nd percentile) were associated with the highest risk increase (IRR 1.189; 95 % CI: 1.089-1.299; Conclusion: Prolonged extreme temperatures represent independent cardiovascular hazards beyond isolated daily exposures. The immediate impact of heat and the delayed, persistent effect of cold carry important implications for public health preparedness, emergency service planning, and the timing of clinical advisories.

Indexed as

cardiac arrest (CA)Cardiopulmonary resuscitation (CPR)Extreme coldExtreme heatMeteorological factorsOut-of-hospital cardiac arrest (OHCA)sudden cardiac arrest (SCA)Temperature

Identifiers

PMID41583927
PMCPMC12828408

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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.