Evidence map›Paper›PMID 27265815›Full record

ArticleJournal of pain and symptom management2016

Symptom Burden and End-of-Life Treatment Preferences in the Very Old.

Steven M Albert, June R Lunney, Lei Ye, Robert Boudreau, Diane Ives, Suzanne Satterfield, Hilsa N Ayonayon, Susan M Rubin, Anne B Newman, Tamara Harris and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pain and symptom management, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Factors associated with the initiation of chemotherapy within 90 days of death in metastatic colorectal cancer patients: a population-based study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  2. 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

11 authors.

Steven M AlbertDepartment of Behavioral and Community Health Sciences, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. Electronic address: smalbert@pitt.edu.
June R LunneyHospital and Palliative Nursing Association, Pittsburgh, Pennsylvania, USA.
Lei YeDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Robert BoudreauDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Diane IvesDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Suzanne SatterfieldDepartment of Preventive Medicine, University of Tennessee, Memphis, Tennessee, USA.
Hilsa N AyonayonDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California, USA.
Susan M RubinDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California, USA.
Anne B NewmanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Tamara HarrisLaboratory of Epidemiology, Biometry, and Demography, National Institute on Aging, Bethesda, Maryland, USA.
Health ABC Study

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Peripheral Nerve Function Decline in an Aged CohortR01AG028050 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 2007 to 2015
$3.5M
End of Life in the Very OldR01NR012459 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M, LUNNEY, JUNE R · 2011 to 2015
$2.7M
HEALTH ABC--COORDINATING UNIT /California/-260062106N01AG062106 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · 1996 to 2004
$109k
NIA NIH HHS N01 AG062106NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG028050NINR NIH HHS R01 NR012459
6 · The paper itself

Abstract

contextEnd-of-life (EOL) treatment preferences among the very old (age 85+) may differ from preferences in younger aged populations because of high levels of symptom burden and disability and high risk of mortality. It is unclear if symptom burden or level of disability is more important for such preferences.

objectivesTo investigate whether distress from daily symptom burden was an independent correlate of EOL treatment preferences over two years of follow-up in people with median age 86 (participants) and 88 (reported by proxies) at baseline.

methodsThe End of Life in Very Old Age is an ancillary study to the Health, Aging and Body Composition study. At baseline in Year 15 of Health, Aging and Body Composition, 1038 participants and 189 proxies reported levels of symptom distress every quarter, as well as 0-8 EOL treatment preferences elicited once each year.

resultsAt baseline, the mean (SD) count of EOL treatment preferences was 4.2 (2.1) in participants, and 2.9 (2.3) in proxies. EOL treatment preference was not associated with symptom distress. By contrast, black race, male gender, and reported ease walking a quarter mile were independently associated with more aggressive EOL treatment preferences.

conclusionPreferences for more aggressive EOL treatment were not related to daily symptom distress but were significantly more likely to be endorsed among those with better mobility, suggesting that disability is an independent predictor of EOL treatment preferences in the very old.

Indexed as

Patient PreferenceAged, 80 and overAgingCross-Sectional StudiesFemaleFollow-Up StudiesHumansInterviews as TopicLogistic ModelsLongitudinal StudiesMaleSeverity of Illness IndexTerminal Carecohort studyold ageSymptom burdentreatment preferences

Identifiers

PMID27265815
PMCPMC5023468

What OpenQuestion holds

Textmetadata
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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.