Evidence map›Paper›PMID 27188333›Full record

ArticleTheoretical medicine and bioethics2016

When clinical care is like research: the need for review and consent.

David Wendler, Rebecca Johnson

Abstract read
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Article in Theoretical medicine and bioethics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

2 authors.

David WendlerDepartment of Bioethics, NIH Clinical Center, Building 10, Room 1C118, Bethesda, MD, 20892-1156, USA. dwendler@nih.gov.
Rebecca JohnsonDepartment of Sociology, Princeton University, Princeton, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevailing "segregated model" for understanding clinical research sharply separates it from clinical care and subjects it to extensive regulations and guidelines. This approach is based on the fact that clinical research relies on procedures and methods-research biopsies, blinding, randomization, fixed treatment protocols, placebos-that pose risks and burdens to participants in order to collect data that might benefit all patients. Reliance on these methods raises the potential for exploitation and unfairness, and thus points to the need for independent ethical review and more extensive informed consent. In contrast, it is widely assumed that clinical care does not raise these ethical concerns because it is designed to promote the best interests of individual patients. The segregation of clinical research from clinical care has been largely effective at protecting research participants. At the same time, this approach ignores the fact that several aspects of standard clinical care, such as clinician training and scheduling, also pose some risks and burdens to present patients for the benefit of all patients. We argue that recently proposed learning health care systems offer a way to address this concern, and better protect patients, by developing integrated review and consent procedures. Specifically, current approaches base the need for independent ethical review and more extensive informed consent on whether an activity is categorized as clinical research or clinical care. An ethically sounder approach, which could be incorporated into learning health care systems, would be to base the need for independent ethical review and more extensive informed consent on the extent to which an activity poses risks to present patients for the benefit of all patients.

Indexed as

Informed ConsentBiomedical ResearchHumansPatient SafetyResearch DesignConsentExploitationIndependent reviewLearning health care

Identifiers

What OpenQuestion holds

Textmetadata
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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.