Evidence map›Paper›PMID 30706020›Full record

ArticleAdvances in radiation oncology

Impact of Performance Status and Comorbidity on Palliative Radiation Treatment Tolerance and End-Of-Life Decision-Making.

Haley K Perlow, Vincent Cassidy, Benjamin Farnia, Deukwoo Kwon, Adam W Awerbuch, Stephanie Ciraula, Scott Alford, Jacob Griggs, Joseph A Quintana, Raphael Yechieli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

11 authors at 3 institutions in 1 country.

Haley K PerlowMiller School of Medicine, University of Miami, Miami, Florida.
Vincent CassidyMiller School of Medicine, University of Miami, Miami, Florida.
Benjamin FarniaDepartment of Radiation Oncology, Jackson Memorial Hospital, Miami, Florida.
Deukwoo KwonSylvester Comprehensive Cancer Center, University of Miami, Miami, Florida.
Adam W AwerbuchMiller School of Medicine, University of Miami, Miami, Florida.
Stephanie CiraulaMiller School of Medicine, University of Miami, Miami, Florida.
Scott AlfordMiller School of Medicine, University of Miami, Miami, Florida.
Jacob GriggsMiller School of Medicine, University of Miami, Miami, Florida.
Joseph A QuintanaMiller School of Medicine, University of Miami, Miami, Florida.
Raphael YechieliSylvester Comprehensive Cancer Center, University of Miami, Miami, Florida.
Stuart E SamuelsSylvester Comprehensive Cancer Center, University of Miami, Miami, Florida.
University of Miami · USJackson Memorial Hospital · USSylvester Comprehensive Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrevious studies have indicated a relationship between functional status and comorbidity on overall survival when treating patients with bone and brain metastases. However, the degree to which these findings have been integrated into modern-day practice remains unknown. This study examines the impact of performance measures, including Karnofsky Performance Status (KPS) and comorbidity, on palliative radiation therapy treatment tolerance and fractionation schedule. The relationship between a shorter fractionation schedule (SFx) and pending mortality is examined. METHODS AND MATERIALS: This study included patients who were treated with palliative intent to the brain or bone between January 1, 2016 and June 30, 2016. Demographic and medical characteristics collected included KPS score (stratified as good [90-100], fair [70-80], and poor (≤60]), socioeconomic status, comorbidity (binary measure using the Adult Comorbidity Evaluation-27 scale), site of metastatic disease, and treatment facility. Univariable analyses were performed using the Cox proportional hazards regression model to assess the impact of the variables on the prescribed number of fractions (binary measure, ≥10 [long fractionation schedule], and <10 [SFx]), and major treatment interruptions (MTIs; defined as missing ≥3 radiation therapy treatment days or ending treatment prematurely).

resultsA total of 145 patients were eligible for study inclusion, including 95 patients who were treated for bony metastatic disease and 50 patients for brain metastases. High comorbidity (

conclusionsLow KPS and elevated comorbidity scores predict for a poorer prognosis and more frequent MTIs; however, there was no indication that physicians incorporated this information in the fractionation scheduling.

Identifiers

PMID30706020
PMCPMC6349604
OpenAlexW2889693181

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.