Evidence map›Paper›PMID 30703213›Full record

ArticleJAMA oncology2019

Biospecimens, Research Consent, and Distinguishing Cell Line Research.

Kayte Spector-Bagdady, Holly Fernandez Lynch, J Chad Brenner, Andrew G Shuman

Abstract read
In one paragraph

Article in JAMA oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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.

Kayte Spector-BagdadyDepartment of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor.
Holly Fernandez LynchDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
J Chad BrennerCenter for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor.
Andrew G ShumanCenter for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor.

Funding

Dissecting Co-Dependent Pathways in Oral CancersU01DE025184 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENNER, JOHN CHADWICK, CAREY, THOMAS E. · 2015 to 2018
$3.7M
Molecular Mechanisms of Tumor Behavior and Response to Therapy in HPV-positive Oropharyngeal CancerR01CA194536 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAREY, THOMAS E. · 2016 to 2021
$2.8M
NCI NIH HHS R01 CA194536NIDCR NIH HHS U01 DE025184
6 · The paper itself

Abstract

Newly revised regulations for human research affecting translational oncology will become effective in January 2019. A substantial component of the debate leading to this revision was how to regulate biospecimen research; specifically, whether all biospecimens should be considered inherently "identifiable," thereby necessitating informed consent for use in research. The famous cases seminal to this discussion involve cancer cell lines, but the unique features of this kind of biospecimen research were largely missing from the regulatory deliberation. However, special aspects of cell line research-at the stages of procurement, generation, evolution, and sharing-alter how society should balance participant interests against the goals of research. Recommendations are offered to cancer researchers and policymakers going forward to enable ethically appropriate regulation of biospecimen research across its diverse spectrum.

Indexed as

Cell Culture TechniquesSpecimen HandlingBiological Specimen BanksCell LineHumansInformed ConsentMedical OncologyNontherapeutic Human ExperimentationPolicy MakingTranslational Research, Biomedical

Identifiers

PMID30703213
PMCPMC6669107

What OpenQuestion holds

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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.