Literature DB >> 20645019

The empirical basis for determinations of medical futility.

Ezra Gabbay1, Jose Calvo-Broce, Klemens B Meyer, Thomas A Trikalinos, Joshua Cohen, David M Kent.   

Abstract

BACKGROUND: Decisions to limit treatment in critically ill patients often rely on publications that make claims of futility based on outcome data. Our objective was to systematically review the criteria for futility and the strength of empirical evidence across clinical studies that purport to support or refute claims of futility.
METHODS: The MEDLINE database was searched for relevant articles published between 1980 and 2008. Selected studies reported original outcome data in critically ill or cardiac arrest patients and claimed that these data can support or refute decisions to limit treatment in comparable patients. Two authors independently abstracted data on patient characteristics, intervention, outcomes, cost, and design.
RESULTS: Forty seven studies supporting a claim of futility and 45 refuting it were reviewed. Median point estimate for adverse outcome in studies supporting claims of futility was 100% (range 75% to 100%); median lower 95% confidence limit was 91% (range 48% to 99%). Explicit thresholds for futility were missing in 88% of articles. The original criteria for quantitative futility were fulfilled by only 28% of data, and almost exclusively in studies of cardiopulmonary resuscitation (CPR) for cardiac arrest. Substantial statistical overlap was observed between data brought in support of futility claims and data brought to refute them.
CONCLUSIONS: Most studies that purport to guide determinations of futility are based on insufficient data to provide statistical confidence for clinical decision-making. They usually lack explicit a priori thresholds for determination of futility. Many studies draw disparate conclusions based on statistically similar data. In most circumstances these problems preclude confident determinations of futility.

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Year:  2010        PMID: 20645019      PMCID: PMC2955478          DOI: 10.1007/s11606-010-1445-3

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  42 in total

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2.  Individual outcome prediction models for intensive care units.

Authors:  R W Chang
Journal:  Lancet       Date:  1989-07-15       Impact factor: 79.321

3.  Outcome of bone marrow transplantation patients requiring mechanical ventilation.

Authors:  A J Huaringa; F J Leyva; S A Giralt; J Blanco; J Signes-Costa; H Velarde; R E Champlin
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4.  Characteristics of cardiac arrest in cancer patients as a predictor of survival after cardiopulmonary resuscitation.

Authors:  M S Ewer; S K Kish; C G Martin; K J Price; T W Feeley
Journal:  Cancer       Date:  2001-10-01       Impact factor: 6.860

5.  The framing of decisions and the psychology of choice.

Authors:  A Tversky; D Kahneman
Journal:  Science       Date:  1981-01-30       Impact factor: 47.728

6.  Improved survival in cancer patients requiring mechanical ventilatory support: impact of noninvasive mechanical ventilatory support.

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Journal:  Crit Care Med       Date:  2001-03       Impact factor: 7.598

7.  Validation of a clinical decision aid to discontinue in-hospital cardiac arrest resuscitations.

Authors:  C van Walraven; A J Forster; D C Parish; F C Dane; K M Chandra; M D Durham; C Whaley; I Stiell
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Review 8.  Medical futility: its meaning and ethical implications.

Authors:  L J Schneiderman; N S Jecker; A R Jonsen
Journal:  Ann Intern Med       Date:  1990-06-15       Impact factor: 25.391

9.  Additional evidence in support of withholding or terminating cardiopulmonary resuscitation for trauma patients in the field.

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Journal:  J Am Coll Surg       Date:  2004-02       Impact factor: 6.113

10.  Use of APACHE II classification to evaluate outcome of patients receiving hemodialysis in an intensive care unit.

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  18 in total

Review 1.  Knowing when to stop: futility in the ICU.

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2.  Institutional futility policies are inherently unfair.

Authors:  Philip M Rosoff
Journal:  HEC Forum       Date:  2013-09

Review 3.  Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database.

Authors:  Benjamin S Wessler; Lana Lai Yh; Whitney Kramer; Michael Cangelosi; Gowri Raman; Jennifer S Lutz; David M Kent
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-07-07

4.  Buddhism and medical futility.

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Journal:  J Bioeth Inq       Date:  2012-10-12       Impact factor: 1.352

5.  Can Clinical Predictive Models Identify Patients Who Should Not Receive TAVR? A Systematic Review.

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6.  Nurses' experiences of futile care at intensive care units: a phenomenological study.

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Journal:  Glob J Health Sci       Date:  2015-01-14

7.  Laying Futility to Rest.

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Journal:  J Med Philos       Date:  2015-08-01

8.  End-of-life care policy: An integrated care plan for the dying: A Joint Position Statement of the Indian Society of Critical Care Medicine (ISCCM) and the Indian Association of Palliative Care (IAPC).

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9.  Medical futility in the era of evidence-based medicine.

Authors:  Zhengyu Jiang; Lu Yang; Pinhao Guo; Shanshan Gong
Journal:  J Biomed Res       Date:  2014-07-10

Review 10.  NURSES' PERCEPTIONS OF FUTILE MEDICAL CARE.

Authors:  Somayeh Rostami; Hedayat Jafari
Journal:  Mater Sociomed       Date:  2016-03-25
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