Evidence map›Paper›PMID 35629113›Full record

ArticleJournal of personalized medicine2022

Methods for Stratification and Validation Cohorts: A Scoping Review.

Teresa Torres Moral, Albert Sanchez-Niubo, Anna Monistrol-Mula, Chiara Gerardi, Rita Banzi, Paula Garcia, Jacques Demotes-Mainard, Josep Maria Haro, The Permit Group

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Guideline
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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

9 authors at 4 institutions in 3 countries.

Teresa Torres MoralResearch and Development Unit, Parc Sanitari Sant Joan de Déu, 08830 Barcelona, Spain.
Albert Sanchez-NiuboResearch and Development Unit, Parc Sanitari Sant Joan de Déu, 08830 Barcelona, Spain.ORCID 0000-0003-0309-181X
Anna Monistrol-MulaResearch and Development Unit, Parc Sanitari Sant Joan de Déu, 08830 Barcelona, Spain.ORCID 0000-0001-5879-3558
Chiara GerardiCentre for Health Regulatory Policies, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.
Rita BanziCentre for Health Regulatory Policies, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.
Paula GarciaECRIN, European Clinical Research Infrastructure Network, 75013 Paris, France.
Jacques Demotes-MainardECRIN, European Clinical Research Infrastructure Network, 75013 Paris, France.
Josep Maria HaroResearch and Development Unit, Parc Sanitari Sant Joan de Déu, 08830 Barcelona, Spain.
The Permit Group
Instituto de Salud Carlos III · ESEuropean Clinical Research Infrastructure Network · FRMario Negri Institute for Pharmacological Research · ITParc Sanitari Sant Joan de Déu · ES

Funding

European Union's Horizon 2020 research and innovation programme 874825
6 · The paper itself

Abstract

Personalized medicine requires large cohorts for patient stratification and validation of patient clustering. However, standards and harmonized practices on the methods and tools to be used for the design and management of cohorts in personalized medicine remain to be defined. This study aims to describe the current state-of-the-art in this area. A scoping review was conducted searching in PubMed, EMBASE, Web of Science, Psycinfo and Cochrane Library for reviews about tools and methods related to cohorts used in personalized medicine. The search focused on cancer, stroke and Alzheimer's disease and was limited to reports in English, French, German, Italian and Spanish published from 2005 to April 2020. The screening process was reported through a PRISMA flowchart. Fifty reviews were included, mostly including information about how data were generated (25/50) and about tools used for data management and analysis (24/50). No direct information was found about the quality of data and the requirements to monitor associated clinical data. A scarcity of information and standards was found in specific areas such as sample size calculation. With this information, comprehensive guidelines could be developed in the future to improve the reproducibility and robustness in the design and management of cohorts in personalized medicine studies.

Indexed as

cohortspersonalized medicinesample sizestratification

Identifiers

PMID35629113
PMCPMC9144352
OpenAlexW4225001630

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.