Evidence map›Paper›PMID 29728467›Full record

ArticleThe oncologist2018

Predictors of Location of Death for Children with Cancer Enrolled on a Palliative Care Service.

Erica C Kaye, Samantha DeMarsh, Courtney A Gushue, Jonathan Jerkins, April Sykes, Zhaohua Lu, Jennifer M Snaman, Lindsay J Blazin, Liza-Marie Johnson, Deena R Levine and 2 more

Abstract read
In one paragraph

Article in The oncologist, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Regional blocks for pain control at the end of life in pediatric oncology.Frontiers in pain research (Lausanne, Switzerland) · 2023
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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

12 authors.

Erica C KayeSt. Jude Children's Research Hospital, Memphis, Tennessee, USA erica.kaye@stjude.org.ORCID 0000-0002-6522-3876
Samantha DeMarshOhio University Heritage College of Osteopathic Medicine, Cleveland, Ohio, USA.
Courtney A GushueLe Bonheur Children's Hospital, Memphis, Tennessee, USA.
Jonathan JerkinsLe Bonheur Children's Hospital, Memphis, Tennessee, USA.
April SykesSt. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Zhaohua LuSt. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Jennifer M SnamanDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Lindsay J BlazinSt. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Liza-Marie JohnsonSt. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Deena R LevineSt. Jude Children's Research Hospital, Memphis, Tennessee, USA.
R Ray MorrisonSt. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Justin N BakerSt. Jude Children's Research Hospital, Memphis, Tennessee, USA.

Funding

PROFESSIONAL ONCOLOGY EDUCATION PROGRAMR25CA023944 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI SUZANNE A. GRONEMEYER · 1986 to 2026
$8.3M
NCI NIH HHS R25 CA023944
6 · The paper itself

Abstract

backgroundIn the U.S., more children die from cancer than from any other disease, and more than one third die in the hospital setting. These data have been replicated even in subpopulations of children with cancer enrolled on a palliative care service. Children with cancer who die in high-acuity inpatient settings often experience suffering at the end of life, with increased psychosocial morbidities seen in their bereaved parents. Strategies to preemptively identify children with cancer who are more likely to die in high-acuity inpatient settings have not been explored. MATERIALS AND

methodsA standardized tool was used to gather demographic, disease, treatment, and end-of-life variables for 321 pediatric palliative oncology (PPO) patients treated at an academic pediatric cancer center who died between 2011 and 2015. Multinomial logistic regression was used to predict patient subgroups at increased risk for pediatric intensive care unit (PICU) death.

resultsHigher odds of dying in the PICU were found in patients with Hispanic ethnicity (odds ratio [OR], 4.02;

conclusionCertain variables may predict PICU death for PPO patients, including delayed palliative care involvement. Preemptive identification of patients at risk for PICU death affords opportunities to study the effects of earlier palliative care integration and increased discussions around preferred location of death on end-of-life outcomes for children with cancer and their families. IMPLICATIONS FOR PRACTICE: Children with cancer who die in high-acuity inpatient settings often experience a high burden of intensive therapy at the end of life. Strategies to identify patients at higher risk of dying in the pediatric intensive care unit (PICU) have not been explored previously. This study finds that certain variables may predict PICU death for pediatric palliative oncology patients, including delayed palliative care involvement. Preemptive identification of patients at risk for PICU death affords opportunities to study the effects of earlier palliative care integration and increased discussions around preferred location of death on end-of-life outcomes for children with cancer and their families.

Indexed as

DeathFemaleHumansMaleNeoplasmsPalliative CareEnd of lifeLocation of deathPalliative carePalliative oncologyPediatric oncology

Identifiers

PMID29728467
PMCPMC6292533

What OpenQuestion holds

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Registered trials

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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.