Evidence map›Paper›PMID 38240844›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2024

[Health and climate change-what is the potential of real-world data?]

Christian Günster, Caroline Schmuker

Abstract readEnglish AbstractReview
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024. 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. The Spectrum of Heat-Related Diseases - A Meta-Review.International journal of public health · 2025
    Review
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

2 authors.

Christian GünsterWissenschaftliches Institut der AOK (WIdO), Rosenthaler Straße 31, 10178, Berlin, Deutschland. christian.guenster@wido.bv.aok.de.
Caroline SchmukerWissenschaftliches Institut der AOK (WIdO), Rosenthaler Straße 31, 10178, Berlin, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article addresses the question of how climate change may affect health and to what extent real-world data can contribute to research in this topic area. Climate change is altering the environmental and living conditions of humankind, and has thus also become a relevant health problem. The increase in extreme weather events, changes in exposure to UV and air pollution, and the climate-associated spread of allergens or novel pathogens are significantly changing the spectrum of diseases and the need for medical care in the population. However, in Germany, only few findings on the consequences for the healthcare system and on particularly affected population groups exist so far. Real-world data (primary data, register data, and administrative data) in combination with environmental exposure data and other relevant data (e.g., socio-economic data) have the potential to significantly advance research on the health consequences of climate change. This paper identifies changes in environmental and living conditions and associated health risks. It describes the databases that are generally available for analysing health effects of climate change. A concrete example is used to show how individual health data (in this case claims data of the statutory health insurance), environmental exposure data and other data can be successfully combined. Finally, the article offers a comprehensive overview of open research questions that can be answered with real-world data.

Indexed as

Air PollutionClimate ChangeAllergensEnvironmental ExposureGermanyAllergensHealth services researchMorbidityPublic healthRoutine dataVulnerable population

Identifiers

PMID38240844
PMCPMC10834614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.