Evidence map›Paper›PMID 38283318›Full record

ArticleHarvard data science review2022

Personalized Trial Ethics and Institutional Review Board Submissions.

Joyce P Samuel, Susan H Wootton

Abstract read
In one paragraph

Article in Harvard data science review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. N-of-1 trials: The epitome of personalized medicine?Journal of clinical and translational science · 2023
    Article
  2. 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

2 authors.

Joyce P SamuelJohn P. and Kathrine G. McGovern Medical School, Health Science Center, University of Texas, Houston, Texas, United States of America.
Susan H WoottonJohn P. and Kathrine G. McGovern Medical School, Health Science Center, University of Texas, Houston, Texas, United States of America.

Funding

Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
Re-engineering Precision Therapeutics Through N-of-1 TrialsR01LM012836 · NLM · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DAVIDSON, KARINA W. · 2017 to 2023
$7.6M
Roybal Center for Personalized Trials: Physical Activity Promotion to Foster Healthy AgingP30AG063786 · NIA · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI Karina W. Davidson · 2020 to 2026
$6.7M
NCATS NIH HHS UL1 TR003167NIA NIH HHS P30 AG063786NLM NIH HHS R01 LM012836
6 · The paper itself

Abstract

The ethical and regulatory oversight of any clinical activity related to human subjects is commonly determined based on its categorization as either clinical practice or research. Prominent bioethicists have criticized the traditional distinctions used to delineate these categories, calling them counterproductive and outmoded, and arguing that learning and clinical practice should be deliberately and appropriately integrated. Personalized trials represent a clinical activity with characteristics that overlap both categories, making ethical and regulatory oversight requirements less straightforward. When the primary intent of the personalized trial is to assist in the conduct of individualized patient care with an emphasis on protecting the clinical decision from the biases inherent in usual clinical practice, how should this activity be regulated? In this article, we will explore the ethical underpinnings of personalized trials and propose various approaches to meeting regulatory requirements. Instead of imposing standard research regulations on the conduct of all personalized trials, we recommend that personalized trialists and IRB panels should consider whether participation in a personalized trial results in any foreseeable incremental increase in risk to the participant compared with usual care. This approach may reduce regulatory barriers, which could promote more widespread uptake of personalized trials.

Indexed as

consentethicsN-of-1 trialpersonalized trial

Identifiers

PMID38283318
PMCPMC10813651

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.