Evidence map›Paper›PMID 29567821›Full record

ArticleThe oncologist2018

Costs of Cancer Care Across the Disease Continuum.

Deborah R Kaye, Hye Sung Min, Lindsey A Herrel, James M Dupree, Chad Ellimoottil, David C Miller

Open access · bronzeAbstract 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 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
13.1field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Lifetime direct healthcare costs of treating colorectal cancer: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Pooled it
  2. Clinical utility and applicability of circulating tumor DNA testing in esophageal cancer: a systematic review and meta-analysis.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2022
    Pooled it
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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

6 authors at 1 institution in 1 country.

Deborah R KayeDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA kayed@med.umich.edu.ORCID 0000-0002-3868-6920
Hye Sung MinDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
Lindsey A HerrelDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
James M DupreeDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
Chad EllimoottilDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
David C MillerDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
University of Michigan–Ann Arbor · US

Funding

Advanced Training in Urologic OncologyT32CA180984 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu, VAHAKN B SHAHINIAN · 2014 to 2026
$3.4M
Understanding optimal delivery systems for cancer careR01CA174768 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MILLER, DAVID C · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA174768NCI NIH HHS T32 CA180984
6 · The paper itself

Abstract

purposeThe aim of this study was to estimate Medicare payments for cancer care during the initial, continuing, and end-of-life phases of care for 10 malignancies and to examine variation in expenditures according to patient characteristics and cancer severity. MATERIALS AND

methodsWe used linked Surveillance, Epidemiology and End Results-Medicare data to identify patients aged 66-99 years who were diagnosed with one of the following 10 cancers: prostate, bladder, esophageal, pancreatic, lung, liver, kidney, colorectal, breast, or ovarian, from 2007 through 2012. We attributed payments for each patient to a phase of care (i.e., initial, continuing, or end of life), based on time from diagnosis until death or end of study interval. We summed payments for all claims attributable to the primary cancer diagnosis and analyzed the overall and phase-based costs and then by differing demographics, cancer stage, geographic region, and year of diagnosis.

resultsWe identified 428,300 patients diagnosed with one of the 10 malignancies. Annual payments were generally highest during the initial phase. Mean expenditures across cancers were $14,381 during the initial phase, $2,471 for continuing, and $13,458 at end of life. Payments decreased with increasing age. Black patients had higher payments for four of five cancers with statistically significant differences. Stage III cancers posed the greatest annual cost burden for four cancer types. Overall payments were stable across geographic region and year.

conclusionConsiderable differences exist in expenditures across phases of cancer care. By understanding the drivers of such payment variations across patient and tumor characteristics, we can inform efforts to decrease payments and increase quality, thereby reducing the burden of cancer care. IMPLICATIONS FOR PRACTICE: Considerable differences exist in expenditures across phases of cancer care. There are further differences by varying patient characteristics. Understanding the drivers of such payment variations across patient and tumor characteristics can inform efforts to decrease costs and increase quality, thereby reducing the burden of cancer care.

Indexed as

AgedAged, 80 and overFemaleHealth Care CostsHumansMaleMedicareNeoplasmsSEER ProgramTerminal CareUnited StatesCancerCostsDisease continuum

Identifiers

PMID29567821
PMCPMC6058326
OpenAlexW2790007780

What OpenQuestion holds

Textmetadata
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.