Evidence map›Paper›PMID 41696749›Full record

ArticleFrontiers in neurology2025

Toward a "green" brain health agenda: establishing short- and long-term goals for the field of neurology in a changing climate.

Esme D Trahair, Trisha Dalapati, Danelle Levinson, Alexandra R Linares, Aaron Reuben, Richard Bedlack

Abstract read
In one paragraph

Article in Frontiers in neurology, 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
–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

6 authors.

Esme D TrahairDuke University School of Medicine, Durham, NC, United States.
Trisha Dalapati *Duke University School of Medicine, Durham, NC, United States.
Danelle Levinson *Duke University School of Medicine, Durham, NC, United States.
Alexandra R Linares *Duke University School of Medicine, Durham, NC, United States.
Aaron ReubenDepartment of Psychology & Neuroscience, Duke University, Durham, NC, United States.
Richard BedlackDepartment of Neurology, Duke University, Durham, NC, United States.

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

The global burden of neurological disease is rising amid an aging population and accelerating climate change, yet environmental determinants of brain health remain underrecognized within neurology. Climate-related factors-including air pollution, extreme heat, environmental contaminants, and ecological disruptions-can contribute to neuroinflammation, cerebrovascular disease, neurodegenerative disorders, and mental health conditions. Development of climate-relevant short- and long-term goals within the field of neurology is in line with the discipline's increasing interest in improving population brain health. This commentary categorizes "green" brain health priorities into five domains: (1) clinical practice, (2) public communication, (3) education and training, (4) research, and (5) policy. The recommendations put forth constitute an agenda that is relevant to many stakeholders, including professional societies, like the AAN. A dedicated commitment to environmental determinants of brain health is imperative to safeguarding global neurologic well-being in the face of an escalating climate crisis.

Indexed as

brain healthclimate changeenvironmental healthneuroepidemiologyneurologypopulation healthpreventive medicine

Identifiers

PMID41696749
PMCPMC12894001

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.