Evidence map›Paper›PMID 37255593›Full record

ArticleCambridge prisms. Precision medicine2023

Exploring human biology with N-of-1 clinical trials.

N J Schork, B Beaulieu-Jones, W S Liang, S Smalley, L H Goetz

Abstract read
In one paragraph

Article in Cambridge prisms. Precision medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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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

5 authors.

N J SchorkDepartment of Quantitative Medicine, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.ORCID 0000-0003-0920-5013
B Beaulieu-JonesNet. bio Inc., Los Angeles, CA, USA.
W S LiangNet. bio Inc., Los Angeles, CA, USA.
S SmalleyNet. bio Inc., Los Angeles, CA, USA.
L H GoetzDepartment of Quantitative Medicine, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.ORCID 0000-0003-0061-4769

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
Regulatory and Human Study Operations (RHSO) Core CU19AG065169 · NIA · UNIVERSITY OF ARIZONA · PI BARNES, CAROL A. · 2021 to 2025
$59.8M
Participant Engagement UnitU2CCA252973 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CHERYL LYNN WILLMAN · 2020 to 2026
$21.0M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
Inflamm-aging of osteoprogenitor cells: A therapeutic target for improved bone healing - Resubmission - 1 - Revision - 3R01AG056169 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LEUCHT, PHILIPP · 2018 to 2022
$2.4M
Integrative Omics to enhance therapeutics development for healthy agingUH2AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI EVANS, DANIEL SPENCER, MILLER, RICHARD A · 2019 to 2020
$1.4M
Inflamm-aging of osteoprogenitor cells: A therapeutic target for improved bone healingR56AG056169 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LEUCHT, PHILIPP · 2023 to 2023
$347k
NCI NIH HHS U2C CA252973NIA NIH HHS R01 AG056169NIA NIH HHS R56 AG056169NIA NIH HHS U19 AG023122NIA NIH HHS U19 AG065169NIA NIH HHS UH2 AG064706NIA NIH HHS UH3 AG064706
6 · The paper itself

Abstract

Studies on humans that exploit contemporary data-intensive, high-throughput 'omic' assay technologies, such as genomics, transcriptomics, proteomics and metabolomics, have unequivocally revealed that humans differ greatly at the molecular level. These differences, which are compounded by each individual's distinct behavioral and environmental exposures, impact individual responses to health interventions such as diet and drugs. Questions about the best way to tailor health interventions to individuals based on their nuanced genomic, physiologic, behavioral, etc. profiles have motivated the current emphasis on 'precision' medicine. This review's purpose is to describe how the design and execution of N-of-1 (or personalized) multivariate clinical trials can advance the field. Such trials focus on individual responses to health interventions from a whole-person perspective, leverage emerging health monitoring technologies, and can be used to address the most relevant questions in the precision medicine era. This includes how to validate biomarkers that may indicate appropriate activity of an intervention as well as how to identify likely beneficial interventions for an individual. We also argue that multivariate N-of-1 and aggregated N-of-1 trials are ideal vehicles for advancing biomedical and translational science in the precision medicine era since the insights gained from them can not only shed light on how to treat or prevent diseases generally, but also provide insight into how to provide real-time care to the very individuals who are seeking attention for their health concerns in the first place.

Indexed as

clinical trialsintervention responseinterventionslongitudinalprecision medicine

Identifiers

PMID37255593
PMCPMC10228692

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.