Evidence map›Paper›PMID 37970200›Full record

ArticleMedicine and pharmacy reports2023

Developing cancer biobanks in Romania: understanding the knowledge and recommendations in assessing a clinical dataset for biospecimens.

Liliana Policiuc, Cecilia Bica, Cristina Ciocan, Daniel Corneliu Leucuta, Andreea Nutu, Ioana Berindan-Neagoe

Abstract read
In one paragraph

Article in Medicine and pharmacy reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Liliana PoliciucResearch Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Cecilia BicaResearch Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Cristina CiocanResearch Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Daniel Corneliu LeucutaDepartment of Medical Informatics and Biostatistics, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Andreea NutuResearch Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Ioana Berindan-NeagoeResearch Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: In the context of the novelty of personalized medicine and biobanking in Romania, there is an acute need to analyze the degree of knowledge of the key actors in the domain. The present study sought to investigate the understanding of 'biobanking' and 'personalized medicine' in three categories of participants in the development of a biobank - health professionals (clinicians/diagnosticians), scientific researchers, and patients, in order to identify possible faults regarding the level of information. The secondary objective of this study was to identify key elements and relevant data that should be detailed in the clinical dataset that accompanies a biological sample. Methods: A total of 120 participants were included in this study that were divided into three categories that represent key actors in the development and management of a cancer biobank - clinicians (n=40), scientific researchers (n=40), and oncology patients (n=40). Results: The survey indicated that the terms 'biobank' and 'personalized medicine' are unknown only in a proportion of patients, while for the other two groups, these terms are already known. The second questionnaire allowed the arrangement of a recommended clinical dataset to be filled when a biological sample is provided to be included in a cancer biobank. Conclusions: The trust of patients and healthcare professionals in building biobanks that adhere to ethical and operational standards in Romania is important, as the development of artificial intelligence and databases allows advanced knowledge and connection of findings from different databases and, therefore, brings the concept of personalized medicine closer to the clinical practice. The information included in this dataset will be integrated and constitutes a comprehensive biobank database. All these aspects are meant to increase the utility of the specimens in cancer research, as clearly annotated samples, along with prospective data, bring valuable knowledge that helps scientific researchers and clinicians make the clinical connection between the molecular alterations and the phenotype of particular patients or a disease.

Indexed as

biobankbiospecimensclinical databasepersonalized medicinetranslational medicine

Identifiers

PMID37970200
PMCPMC10642746

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Registered trials

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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.