Evidence mapPaperPMID 42042584Full record

ArticleJournal of personalized medicine2026

Personalized Medicine, Storied Past, Contentious Present, Promising Future.

Kenneth P H Pritzker, Arash Samari

Abstract read
In one paragraph

Article in Journal of personalized medicine, 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

2 authors.

Kenneth P H PritzkerDepartment of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada.ORCID 0000-0002-3074-5009
Arash SamariKeyIntel Medical Inc., Toronto, ON M5V 1R7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized Medicine has been a central aspiration of medical practice and has guided the direction of medical advances from ancient times to the present. This narrative review highlights some of the most significant past advances and present practices, discusses issues currently limiting Personalized Medicine and proposes activities necessary for Personalized Medicine to have a promising future. Throughout history, Personalized Medicine has developed along with the evolution of science and societal concepts. Notable advances paralleled the growth in what an individual person is and how experimental science can apply to medical practice. In the twentieth century, the study of inborn errors of metabolism and pharmacogenetics broadened the horizons of what Personalized Medicine could be. Presently, Personalized Medicine is challenged by different perspectives on its scope, by the various clinical scientific activities which can inadvertently or by misinterpretation serve to depersonalize medicine, and by the difficulties involved in integrating the massive amount of available scientific data to optimize medical practice centered on the individual. The conditions necessary for Personalized Medicine to have a promising future include developing broader, deeper, and more dynamic knowledge of disease processes, new methods to identify anomalous, singular disease-contributing characteristics in individuals, and improving data quality in research and medical practice. Advancing Personalized Medicine requires developing new perspectives for research, healthcare education, medical practice, and healthcare governance, as well as deploying medical advances at scale across populations.

Indexed as

artificial intelligencedata qualityEvidence-based Medicinehistory of medicineindividualized healthcaremedical informaticsPersonalized Medicinepharmacogenomicsprecision medicineStratified Medicine

Identifiers

PMID42042584
PMCPMC13117741

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.