Evidence map›Paper›PMID 28000694›Full record

ArticleEuropean journal of human genetics : EJHG2017

Access policies in biobank research: what criteria do they include and how publicly available are they? A cross-sectional study.

Holger Langhof, Hannes Kahrass, Sören Sievers, Daniel Strech

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Biobanking in health care: evolution and future directions.Journal of translational medicine · 2019
    Review
  10. Sharing data for future research-engaging participants' views about data governance beyond the original project: a DIRECT Study.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. 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

4 authors.

Holger LanghofInstitute for History, Ethics and Philosophy of Medicine, CELLS - Centre for Ethics and Law in the Life Sciences, Hannover Medical School (MHH), Hannover, Germany.
Hannes KahrassInstitute for History, Ethics and Philosophy of Medicine, CELLS - Centre for Ethics and Law in the Life Sciences, Hannover Medical School (MHH), Hannover, Germany.
Sören SieversInstitute for History, Ethics and Philosophy of Medicine, CELLS - Centre for Ethics and Law in the Life Sciences, Hannover Medical School (MHH), Hannover, Germany.
Daniel StrechInstitute for History, Ethics and Philosophy of Medicine, CELLS - Centre for Ethics and Law in the Life Sciences, Hannover Medical School (MHH), Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access policies of biobanks specify the governance of sample and data sharing. Basic guidance on relevant access criteria exists, but so far little is known about their public availability and what criteria for access and prioritization they actually include. Access policies were gathered by hand searching the websites of biobanks identified via registries (eg, BBMRI and P3G), and by additional search strategies. Criteria for access and prioritization were synthesized by thematic analysis. Of 523 biobank websites screened, 9% included a publicly available access policy. With all applied search strategies, we finally retrieved 74 access policies. Thematic analysis resulted in 62 different access criteria in three main categories: (a) scientific quality, (b) value and (c) ethical soundness. 'Scientific quality' criteria were mentioned in 70% of all policies, 'value' criteria in 33% and 'ethical soundness' criteria in 73%. Criteria for prioritization were specified in 27% of all policies. Access policies differed broadly in number, specification and operationalization of the included access criteria. In order to make biobank research more effective, efficient and trustworthy, access policies should be more available to the public. Furthermore, access policies should aim for precise and more harmonized wording of access criteria. From a public and governance perspective, the issue of how to prioritize access to scarce samples should form part of access policies.

Indexed as

Information DisseminationOrganizational PolicyBiological Specimen BanksCross-Sectional StudiesPractice Guidelines as Topic

Identifiers

PMID28000694
PMCPMC5315509

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.