Evidence map›Paper›PMID 38888213›Full record

ReviewJournal of the American Geriatrics Society2024

Aging precisely: Precision medicine through the lens of an older adult.

C Adrian Austin, Benjamin Seligman, Sangeetha Shan-Bala, George A Kuchel, Kah Poh Loh, Chrissy E Kistler, John A Batsis

Abstract readReview
In one paragraph

Review in Journal of the American Geriatrics Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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

7 authors.

C Adrian AustinDivision of Pulmonary and Critical Care Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-5253-0623
Benjamin SeligmanGeriatric Research, Education and Clinical Center, VA Greater Los Angeles Health Care System, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-8223-5924
Sangeetha Shan-BalaDivision of Geriatric Medicine, Department of Medicine, Inova Health System, Fairfax Medical Campus, Falls Church, Virginia, USA.
George A KuchelUConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA.ORCID https://orcid.org/0000-0001-8387-7040
Kah Poh LohDivision of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, New York, USA.ORCID https://orcid.org/0000-0002-6978-0418
Chrissy E KistlerDivision of Geriatric Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-0566-5741
John A BatsisDivision of Geriatric Medicine and Center for Aging and Health, University of North Carolina, Chapel Hill, North Carolina, USA.

Funding

Research Education ComponentP30AG067988 · NIA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Richard H Fortinsky, GEORGE A KUCHEL · 2021 to 2026
$9.5M
Optimizing Telehealth-delivery of a Weight Loss Intervention in Older Adults with Multiple Chronic Conditions: A Sequential, Multiple Assignment, Randomized TrialR01AG077163 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI John A. Batsis · 2023 to 2026
$2.9M
A novel mobile health exercise intervention for older patients with myeloid neoplasmsR00CA237744 · NCI · UNIVERSITY OF ROCHESTER · PI LOH, KAH POH · 2021 to 2023
$747k
Epigenetic markers, functional status, and exercise in older adults with myeloid neoplasmsR03AG073985 · NIA · UNIVERSITY OF ROCHESTER · PI LOH, KAH POH · 2022 to 2023
$308k
Claude D. Pepper Older Americans Independence Center P30AG067988Conquer Cancer American Society of Clinical Oncology and Walther Cancer Foundation Career Development AwardNCI NIH HHS R00 CA237744NCI NIH HHS R00CA237744NIA NIH HHS P30 AG067988NIA NIH HHS R01 AG077163NIA NIH HHS R01-AG-077163-01A1NIA NIH HHS R03 AG073985NIA NIH HHS R03AG073985
6 · The paper itself

Abstract

Precision medicine presents an opportunity to use novel, data-driven strategies to improve patient care. The field of precision medicine has undergone many advancements over the past few years. It has moved beyond incorporation of individualized genetic risk into medical decision-making to include multiple other factors such as unique social, demographic, behavioral, and clinical characteristics. Geriatric medicine stands to benefit heavily from the integration of precision medicine into its standard practices. Older adults, compared with other populations, have high clinical and biological heterogeneity that can alter the risks and benefits of different approaches to patient care. These factors have not been routinely considered previously by geriatricians. Yet, geriatricians' ability to address older adults' baseline heterogeneity is increasingly recognized as a cornerstone of delivering quality care in a geriatric medical practice. Given the shared focus of individualized decision-making, precision medicine is a natural fit for geriatric medicine. This manuscript provides, via cases and discussion, examples that illustrate how precision medicine can improve the care of our older patients today. We will share specific and existing tools and evidence, and review the existing multilevel barriers to further incorporate and implement these tools into clinical practice. We propose methods to address these barriers and to help realize the full potential of precision medicine for the care of older adults. We conclude with a brief discussion of potential future directions of research of precision medicine in the care of older adults.

Indexed as

AgingPrecision MedicineAgedAged, 80 and overClinical Decision-MakingFemaleGeriatricsHumansMaleolder adultspharmacogeneticsprecision medicine

Identifiers

PMID38888213
PMCPMC11461112

What OpenQuestion holds

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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.