Evidence map›Paper›PMID 27929677›Full record

ArticleBiopreservation and biobanking2017

Assessing Researcher Needs for a Virtual Biobank.

Jenna van Draanen, Pamela Davidson, Helene Bour-Jordan, LeeAnna Bowman-Carpio, David Boyle, Steve Dubinett, Brian Gardner, Jachael Gardner, Courtney McFall, Dan Mercola and 7 more

Abstract read
In one paragraph

Article in Biopreservation and biobanking, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Biobanking in health care: evolution and future directions.Journal of translational medicine · 2019
    Review
  9. Article
  10. 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

17 authors.

Jenna van Draanen1 Department of Community Health Sciences, University of California Los Angeles , Los Angeles, California.
Pamela Davidson2 Department of CTSI, University of California Los Angeles , Los Angeles, California.
Helene Bour-Jordan3 Research Resource Program (RRP), University of California San Francisco , San Francisco, California.
LeeAnna Bowman-Carpio2 Department of CTSI, University of California Los Angeles , Los Angeles, California.
David Boyle4 University of California San Diego School of Medicine , La Jolla, California.
Steve Dubinett2 Department of CTSI, University of California Los Angeles , Los Angeles, California.
Brian Gardner5 Department of Pathology, University of California Los Angeles , Los Angeles, California.
Jachael Gardner2 Department of CTSI, University of California Los Angeles , Los Angeles, California.
Courtney McFall6 University of California San Francisco , San Francisco, California.
Dan Mercola7 University of California Irvine , Irvine, California.
Terry Nakazono2 Department of CTSI, University of California Los Angeles , Los Angeles, California.
Stephanie Soares8 University of California Davis , Davis, California.
Hubert Stoppler6 University of California San Francisco , San Francisco, California.
Margaret Tempero6 University of California San Francisco , San Francisco, California.
Scott Vandenberg6 University of California San Francisco , San Francisco, California.
Yu Jui Wan8 University of California Davis , Davis, California.
Sarah Dry5 Department of Pathology, University of California Los Angeles , Los Angeles, California.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
NCATS NIH HHS UL1 TR001881NCI NIH HHS P30 CA062203
6 · The paper itself

Abstract

introductionBiosamples and associated clinical data accelerate translational and clinical research discoveries. A lack of high quality biosamples both stalls projects and limits research advances. In this study, we targeted a wide audience of University of California (UC) biobanking stakeholders who were either involved with the collection or the utilization of biosamples to assess the scope of their biobanking activities and their interest in virtual biobanking or cooperating in the formation of the UC-wide biorepository. MATERIALS AND

methodsEach institutional review board from the five UC medical campuses' provided a dataset of potential researchers involved with biobanking. Once identified, a brief six item web-based questionnaire was administered electronically to these researchers.

resultsMost survey participants (80%) responded "yes" (n = 348) that they were actively collecting biosamples for research, and 68% of participants indicated they would either definitely (30%, n = 131) or maybe (38%, n = 166) request biosample materials now or within the next year. An equal proportion of participants responded yes (42% or n = 184) and maybe (42% or n = 182) when asked if they would voluntarily contribute specimens to a UC-wide virtual biobank. DISCUSSION: The results presented above show high levels of support among UC biobanking stakeholders for both requesting material from and contributing material to a UC-wide virtual biobank. In addition, a considerable number of individual researchers on our five UC medical campuses are conducting biospecimen research (i.e., well over n = 435 respondents).

Indexed as

Biological Specimen BanksBiomedical ResearchCaliforniaEthics Committees, ResearchHumansResearch PersonnelSurveys and QuestionnairesUniversitiesbiobankbiosamplesperceptionsstakeholdervirtual

Identifiers

PMID27929677
PMCPMC5749588

What OpenQuestion holds

Textmetadata
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.