Evidence map›Paper›PMID 29398351›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2018

Assessing the Decision-Making Capacity of Terminally Ill Patients with Cancer.

Elissa Kolva, Barry Rosenfeld, Rebecca Saracino

Open access · greenAbstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  10. An Integrative Review of the State of POLST Science: What Do We Know and Where Do We Go?Journal of the American Medical Directors Association · 2024
    Review
  11. Review
  12. Who Gets to Determine Whether Home Is "Unsafe" at the End of Life?Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023
    Article
  13. Article
  14. Article
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  16. Observational
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  18. Neuropsychological Predictors of Decision-Making Capacity in Terminally Ill Patients with Advanced Cancer.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2019
    Article
  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Elissa KolvaDivision of Medical Oncology, University of Colorado-Anschutz Medical Campus, Aurora, CO. Electronic address: elissa.kolva@ucdenver.edu.
Barry RosenfeldDepartment of Psychology, Fordham University, Bronx, NY.
Rebecca SaracinoDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, NY.
Fordham University · USMemorial Sloan Kettering Cancer Center · USUniversity of Colorado Anschutz Medical Campus · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Psychosocial Palliative & Community Research in CancerT32CA009461 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JENNIFER L HAY, Jamie S. Ostroff · 1985 to 2026
$10.1M
Proteomics CoreP20DA026149 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BERMAN, JOAN WEINBERGER · 2009 to 2011
$2.9M
Decision-making capacity and neuropsychological functioning in terminally ill canF31CA165635 · NCI · FORDHAM UNIVERSITY · PI KOLVA, ELISSA · 2012 to 2012
$29k
NCI NIH HHS F31 CA165635NCI NIH HHS P30 CA008748NCI NIH HHS T32 CA009461NIDA NIH HHS P20 DA026149
6 · The paper itself

Abstract

objectiveDespite the clinical, ethical, and legal magnitude of end-of-life decision-making, the capacity of terminally ill patients to make the medical decisions they often face is largely unknown. In practice, clinicians are responsible for determining when their patients are no longer competent to make treatment decisions, yet the accuracy of these assessments is unclear. The purpose of this study was to explore decision-making capacity and its assessment in terminally ill cancer patients.

methodsFifty-five patients with advanced cancer receiving inpatient palliative care and 50 healthy adults were administered the MacArthur Competence Assessment Tool for Treatment (MacCAT-T) to evaluate decision-making capacity with regard to the four most commonly used legal standards: Choice, Understanding, Appreciation, and Reasoning. Participants made a hypothetical treatment decision about whether to accept artificial nutrition and hydration for treatment of cachexia. Participants' physicians independently rated their decision-making capacity.

resultsTerminally ill participants were significantly more impaired than healthy adults on all MacCAT-T subscales. Most terminally ill participants were able to express a treatment choice (85.7%), but impairment was common on the Understanding (44.2%), Appreciation (49.0%), and Reasoning (85.4%) subscales. Agreement between physician-rated capacity and performance on the MacCAT-T subscales was poor.

conclusionsThe use of the MacCAT-T revealed high rates of decisional impairment in terminally ill participants. Participants' physicians infrequently detected impairment identified by the MacCAT-T. The findings from the present study reinforce the need for engagement in advance care planning for patients with advanced cancer.

Indexed as

Decision MakingMental CompetencyAgedCase-Control StudiesFemaleHumansInformed ConsentMaleMiddle AgedNeoplasmsPatient ParticipationProspective StudiesSocioeconomic FactorsTerminally IllassessmentcancerDecision-making capacitypalliative care

Identifiers

PMID29398351
PMCPMC6345171
OpenAlexW2778443736

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.