Evidence map›Paper›PMID 42576722›Full record

ReviewJournal of Korean medical science2026

Toward a Unified Framework for Climate and Health Research: Gaps in Exposure Metrics and Health Outcomes.

Soonsu Shin, Dajeong Ham, Sanghyuk Bae, Minkyo Song

Abstract readReview
In one paragraph

Review in Journal of Korean medical science, 2026. 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
–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

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

4 authors.

Soonsu ShinDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-3304-526X
Dajeong HamDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-9476-7514
Sanghyuk BaeDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-4995-6543
Minkyo SongLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. minkyo.song@nih.gov.ORCID https://orcid.org/0000-0002-9412-2871

Funding

Autoimmunity and AgingZIAAG000522 · NIA · NATIONAL INSTITUTE ON AGING · PI SONG, MINKYO · 2023 to 2025
$661k
Intramural NIH HHS ZIA AG000522NIA NIH HHS ZIA AG000522NIH HHS
6 · The paper itself

Abstract

As the health impacts of climate change become increasingly evident, research on climate-related exposures and health outcomes has grown. However, a disproportionate focus on certain exposures and health outcomes persists, and substantial inconsistencies remain in the definitions and measurement methods used across studies, hindering the integration of findings and the development of comprehensive public health strategies. To address this gap, we assessed epidemiological literature, identifying uneven research distribution and highlighting areas requiring further investigation. We conducted a literature search in PubMed, the Cochrane Library, and Embase using key terms related to climate change and health. A total of 611 original studies on human populations, published in English from January 2000 to June 2024, were included. Significant heterogeneity was evident in the definitions of climate-related exposure metrics. The focus areas of climate-related exposure were narrow, primarily limited to temperature and temperature-related hazards (n = 526), precipitation (n = 88), and air pollution (n = 39), while research on extreme weather events was scarce. Similarly, the scope of health outcomes studied was largely confined to all-cause mortality (n = 249), cardiovascular disease (n = 159), and communicable diseases (n = 148). In contrast, relatively few studies have addressed the impacts of climate change on neurodegenerative diseases (n = 8), endocrine disorders (n = 4), or hematologic diseases (n = 3), indicating a critical need for broader investigation into these underrepresented health outcomes. Future research should prioritize the transparent reporting of both context-specific and standardized exposure definitions to improve cross-study comparability and broaden its scope to encompass more diverse climate-related exposures and health outcomes.

Indexed as

Climate ChangeEnvironmental ExposureAir PollutionCardiovascular DiseasesCommunicable DiseasesHumansPublic HealthClimate ChangeEnvironment and Public HealthHealthResearch

Identifiers

PMID42576722
PMCPMC13457779

What OpenQuestion holds

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LicenceCC BY-NC
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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.