Evidence map›Paper›PMID 21817885›Full record

ArticleThe American journal of the medical sciences2011

Uncertainty and equipoise: at interplay between epistemology, decision making and ethics.

Benjamin Djulbegovic

Open access · greenAbstract read
In one paragraph

Article in The American journal of the medical sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Evidence and Decision-Making.Cancer treatment and research · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. At what level of collective equipoise does a randomized clinical trial become ethical for the members of institutional review board/ethical committees?Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2013
    Article
  11. New treatments compared to established treatments in randomized trials.The Cochrane database of systematic reviews · 2012
    Article
  12. 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

1 author at 1 institution in 1 country.

Benjamin DjulbegovicCenter and Division for Evidence-based Medicine and Health Outcome Research, Clinical Translational Science Institute, University of South Florida, Tampa, Florida, USA. bdjulbeg@health.usf.edu
Moffitt Cancer Center · US

Funding

Treatment Success and Ethical Principle of EquipoiseR01CA140408 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI DJULBEGOVIC, BENJAMIN · 2009 to 2010
$631k
Quality of Research on Treatment Harms in CancerR01CA133594 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI DJULBEGOVIC, BENJAMIN · 2007 to 2008
$539k
Evaluation of the Quality of Clinical TrialsR01NS052956 · NINDS · H. LEE MOFFITT CANCER CTR &RES INST · PI DJULBEGOVIC, BENJAMIN · 2005 to 2006
$445k
Equipoise and the research integrity of clinical trialsR01NS044417 · NINDS · UNIVERSITY OF SOUTH FLORIDA · PI DJULBEGOVIC, BENJAMIN · 2002 to 2003
$290k
NCI NIH HHS 1R01CA133594-01NCI NIH HHS R01 CA133594NCI NIH HHS R01 CA140408NINDS NIH HHS 1R01NS044417-01NINDS NIH HHS 1 R01 NS052956-01NINDS NIH HHS R01 NS044417NINDS NIH HHS R01 NS052956
6 · The paper itself

Abstract

In recent years, various authors have proposed that the concept of equipoise be abandoned because it conflates the practice of clinical care with clinical research. At the same time, the equipoise opponents acknowledge the necessity of clinical research if there are unresolved uncertainties about the effects of proposed healthcare interventions. As equipoise represents just 1 measure of uncertainty, proposals to abandon equipoise while maintaining a requirement for addressing uncertainties are contradictory and ultimately not valid. As acknowledgment and articulation of uncertainties represent key scientific and moral requirements for human experimentation, the concept of equipoise remains the most useful framework to link the theory of human experimentation with the theory of rational choice. In this article, I show how uncertainty (equipoise) is at the intersection between epistemology, decision making and ethics of clinical research. In particular, I show how our formulation of responses to uncertainties of hoped-for benefits and unknown harms of testing is a function of the way humans cognitively process information. This approach is based on the view that considerations of ethics and rationality cannot be separated. I analyze the response to uncertainties as it relates to the dual-processing theory, which postulates that rational approach to (clinical research) decision making depends both on analytical, deliberative processes embodied in scientific method (system II), and good human intuition (system I). Ultimately, our choices can only become wiser if we understand a close and intertwined relationship between irreducible uncertainty, inevitable errors and unavoidable injustice.

Indexed as

Therapeutic EquipoiseBioethical IssuesClinical Trials as TopicDecision MakingHumansKnowledgeRiskUncertainty

Identifiers

PMID21817885
PMCPMC3183244
OpenAlexW1987186435

What OpenQuestion holds

Textmetadata
LicenceTDM
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.