Evidence map›Paper›PMID 40599887›Full record

ArticleLancet regional health. Americas2025

Estimating the effects of temperature on mortality and hospitalisations under RCP2.6 and RCP8.5 scenarios in the short- and long-term by region in Chile: a population-based, modelling study.

Yasna Palmeiro-Silva, Richard E Chandler, Ilan Kelman

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 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

3 authors.

Yasna Palmeiro-SilvaInstitute for Global Health, University College London, London, UK.
Richard E ChandlerDepartment of Statistical Science, University College London, London, UK.
Ilan KelmanInstitute for Global Health, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In a warming world, it is generally accepted that increasing temperatures affect human health. In many regions of the world, however, these effects are poorly understood. To address this issue in Chile, we estimated the potential change in all-cause and cardiovascular and temperature-related (CVT) mortality and hospitalisations associated with four different climate scenarios by region. Methods: Using Chilean health data and ERA5 reanalysis data, we modelled the relationship between historical health outcomes and monthly temperature indices using Generalised Additive Models. After evaluating the models' predictive performance, we used them to estimate changes in health outcomes associated with bias-adjusted climate projections representing four scenarios: short-term (2031-2060) and long-term (2061-2090) periods under both Representative Concentration Pathways (RCPs) 2.6 and 8.5. Findings: Scenario-based health outcomes show clear north-south variations. Compared to historical levels, all-cause mortality increases by ∼1.5% in northern regions but decreases by ∼1% in southern regions across scenarios. CVT mortality decreases (0.2-3.6%), especially in the south; however, Arica and Tarapacá in the north show sharp increases (up to 30%) under warmer scenarios. Conversely, all-cause and CVT hospitalisations increase in northern/central regions (higher in summer, lower in winter), while southern/austral regions show slight decreases (∼1%). Interpretation: These findings highlight the need for region-specific analyses and public health strategies in Chile. Northern regions might require plans that reduce the risk of heat-related mortality and morbidity, while southern regions might adjust healthcare services because of potential shifts in healthcare needs. Funding: National Agency for Research and Development, Chile and University College London, UK.

Indexed as

Climate changeClimate modelsHealth planningMorbidityMortalityPublic health

Identifiers

PMID40599887
PMCPMC12211848

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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.