Evidence map›Paper›PMID 19909513›Full record

ArticleJournal of translational medicine2009

Evolutionary concepts in biobanking - the BC BioLibrary.

Peter H Watson, Janet E Wilson-McManus, Rebecca O Barnes, Sara C Giesz, Adrian Png, Richard G Hegele, Jacquelyn N Brinkman, Ian R Mackenzie, David G Huntsman, Anne Junker and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Impact of non-welfare interests on willingness to donate to biobanks: an experimental survey.Journal of empirical research on human research ethics : JERHRE · 2014
    Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. A framework for biobank sustainability.Biopreservation and biobanking · 2014
    Article
  12. Article
  13. Article
  14. Article
  15. Active choice but not too active: public perspectives on biobank consent models.Genetics in medicine : official journal of the American College of Medical Genetics · 2011
    Article
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  17. Article
  18. Review
  19. Article
  20. 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

15 authors at 5 institutions in 1 country.

Peter H WatsonTumour Tissue Repository, Deeley Research Centre, BC Cancer Agency, 2410 Lee Ave, Victoria, BC, Canada. pwatson@bccancer.bc.ca
Janet E Wilson-McManus
Rebecca O Barnes
Sara C Giesz
Adrian Png
Richard G Hegele
Jacquelyn N Brinkman
Ian R Mackenzie
David G Huntsman
Anne Junker
Blake Gilks
Erik Skarsgard
Michael Burgess
Samuel Aparicio
Bruce M McManus
University of British Columbia Hospital · CABC Cancer Agency · CAChildren's & Women's Health Centre of British Columbia · CAInstitute on Governance · CAPrevention of Organ Failure · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical research to improve health care faces a major problem in the relatively limited availability of adequately annotated and collected biospecimens. This limitation is creating a growing gap between the pace of scientific advances and successful exploitation of this knowledge. Biobanks are an important conduit for transfer of biospecimens (tissues, blood, body fluids) and related health data to research. They have evolved outside of the historical source of tissue biospecimens, clinical pathology archives. Research biobanks have developed advanced standards, protocols, databases, and mechanisms to interface with researchers seeking biospecimens. However, biobanks are often limited in their capacity and ability to ensure quality in the face of increasing demand. Our strategy to enhance both capacity and quality in research biobanking is to create a new framework that repatriates the activity of biospecimen accrual for biobanks to clinical pathology.

methodsThe British Columbia (BC) BioLibrary is a framework to maximize the accrual of high-quality, annotated biospecimens into biobanks. The BC BioLibrary design primarily encompasses: 1) specialized biospecimen collection units embedded within clinical pathology and linked to a biospecimen distribution system that serves biobanks; 2) a systematic process to connect potential donors with biobanks, and to connect biobanks with consented biospecimens; and 3) interdisciplinary governance and oversight informed by public opinion.

resultsThe BC BioLibrary has been embraced by biobanking leaders and translational researchers throughout BC, across multiple health authorities, institutions, and disciplines. An initial pilot network of three Biospecimen Collection Units has been successfully established. In addition, two public deliberation events have been held to obtain input from the public on the BioLibrary and on issues including consent, collection of biospecimens and governance.

conclusionThe BC BioLibrary framework addresses common issues for clinical pathology, biobanking, and translational research across multiple institutions and clinical and research domains. We anticipate that our framework will lead to enhanced biospecimen accrual capacity and quality, reduced competition between biobanks, and a transparent process for donors that enhances public trust in biobanking.

Indexed as

Biomedical ResearchTissue BanksAnimalsBritish ColumbiaHumansPublic OpinionTissue Donors

Identifiers

PMID19909513
PMCPMC2785772
OpenAlexW2135006741

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.