Evidence map›Paper›PMID 36524627›Full record

SynthesisJournal of the American Geriatrics Society2023

Individualized interventions and precision health: Lessons learned from a systematic review and implications for analytics-driven geriatric research.

Anna R Kahkoska, Nikki L B Freeman, Emily P Jones, Daniela Shirazi, Sydney Browder, Annie Page, John Sperger, Tarek M Zikry, Fei Yu, Jan Busby-Whitehead and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Geriatrics Society, 2023. 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. 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

12 authors.

Anna R KahkoskaDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-2701-101X
Nikki L B FreemanDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-9905-4855
Emily P JonesHealth Sciences Library, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-4294-7564
Daniela ShiraziDepartment of Medicine, California University of Science and Medicine, Colton, California, USA.
Sydney BrowderDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-2109-0434
Annie PageDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
John SpergerDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Tarek M ZikryDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Fei YuSchool of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1079-1590
Jan Busby-WhiteheadDivision of Geriatric Medicine, Department of Medicine, Center for Aging and Health, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Michael R KosorokDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-6070-9738
John A BatsisDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-0845-4416

Funding

North Carolina Translational and Clinical Science Institute (NC TraCS) KL2KL2TR002490 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINBERGER, MORRIS · 2018 to 2022
$11.0M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
UNC-CH Summer Research Training in Aging for Medical StudentsT35AG038047 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JAN BUSBY-WHITEHEAD · 2010 to 2026
$1.4M
Mobile Health Obesity Wellness Intervention in Rural Older Adults_Res1K23AG051681 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BATSIS, JOHN A. · 2016 to 2022
$1.1M
NCATS NIH HHS KL2 TR002490NHLBI NIH HHS T32 HL007055NIA NIH HHS K23 AG051681NIA NIH HHS T35 AG038047
6 · The paper itself

Abstract

Older adults are characterized by profound clinical heterogeneity. When designing and delivering interventions, there exist multiple approaches to account for heterogeneity. We present the results of a systematic review of data-driven, personalized interventions in older adults, which serves as a use case to distinguish the conceptual and methodologic differences between individualized intervention delivery and precision health-derived interventions. We define individualized interventions as those where all participants received the same parent intervention, modified on a case-by-case basis and using an evidence-based protocol, supplemented by clinical judgment as appropriate, while precision health-derived interventions are those that tailor care to individuals whereby the strategy for how to tailor care was determined through data-driven, precision health analytics. We discuss how their integration may offer new opportunities for analytics-based geriatric medicine that accommodates individual heterogeneity but allows for more flexible and resource-efficient population-level scaling.

Indexed as

GeriatricsPrecision MedicineAgedHumansindividualized interventionsolder adultsprecision healthrandomized trials

Identifiers

PMID36524627
PMCPMC10037848

What OpenQuestion holds

Textmetadata
LicenceTDM
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.