Evidence map›Paper›PMID 42130895›Full record

ArticleFrontiers in public health2026

Climate informed precision health.

Yvette P Conley, Nada Lukkahatai, Marilyn J Hammer, Rose Mary Xavier, Susan W Wesmiller, Hudson P Santos, Ruth Lucas, Angela Starkweather

Abstract read
In one paragraph

Article in Frontiers in public health, 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

8 authors.

Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.
Nada LukkahataiJohns Hopkins School of Nursing, Baltimore, MD, United States.
Marilyn J HammerDepartment of Nursing and Patient Care Services and Department of Medical Oncology, Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA, United States.
Rose Mary XavierCizik School of Nursing, McGovern Medical School, and School of Behavioral Health Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.
Susan W WesmillerSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.
Hudson P SantosUniversity of Miami School of Nursing and Health Studies, Coral Gables, FL, United States.
Ruth LucasUniversity of Connecticut Elizabeth Deluca School of Nursing, Storrs, CT, United States.
Angela StarkweatherSchool of Nursing, Rutgers University, Newark, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision healthcare requires incorporation of climate-related factors relevant to the patient. There is a critical need for healthcare systems to incorporate environment and community vital signs into electronic health records to facilitate incorporation of climate-related exposures into personalized patient care plans. Educators need to incorporate precision healthcare that includes climate-related assessments for patients into the education of current and future health care providers. Research focusing on precision healthcare that integrates data sources from omics and across the exposome, including climate-related data is needed. Practice guidelines need to be developed that incorporate the exposome, including climate-related health threats, into precision health at the healthcare system level and into personalized recommendations for patients.

Indexed as

ClimateClimate ChangePrecision MedicineDigital HealthElectronic Health RecordsHumansclimateclimate-informedomicspersonalized health careprecision health care

Identifiers

PMID42130895
PMCPMC13160891

What Socratic 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 Socratic graph.