Evidence map›Paper›PMID 27161970›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2016

Use and Costs of Disease Monitoring in Women With Metastatic Breast Cancer.

Melissa K Accordino, Jason D Wright, Sowmya Vasan, Alfred I Neugut, Grace C Hillyer, Jim C Hu, Dawn L Hershman

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
20.1field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Melissa K AccordinoMelissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY. mkg2134@cumc.columbia.edu.
Jason D WrightMelissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
Sowmya VasanMelissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
Alfred I NeugutMelissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
Grace C HillyerMelissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
Jim C HuMelissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
Dawn L HershmanMelissa K. Accordino, Jason D. Wright, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University College of Physicians and Surgeons; Sowmya Vasan, Alfred I. Neugut, Grace C. Hillyer, and Dawn L. Hershman, Columbia University; and Jim C. Hu, Weill Cornell Medicine, New York, NY.
Columbia College · CAColumbia University · USRoyal College of Physicians · GBColumbia University Irving Medical Center · US

Funding

Training Program in Cancer-Related Population SciencesR25CA094061 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NEUGUT, ALFRED I. · 2002 to 2016
$5.9M
The Influence of Hospital Variability on the Management of Cancer-Associated CompR01CA169121 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WRIGHT, JASON · 2013 to 2017
$1.8M
Endocannabinoid signaling in a model of cancer painR01CA138684 · NCI · UNIVERSITY OF MINNESOTA · PI SEYBOLD, VIRGINIA S · 2010 to 2014
$1.6M
NCI NIH HHS R01 CA138684NCI NIH HHS R01 CA169121NCI NIH HHS R25 CA094061
6 · The paper itself

Abstract

purposeThe optimal frequency of monitoring patients with metastatic breast cancer (MBC) is unknown; however, data suggest that intensive monitoring does not improve outcomes. We performed a population-based analysis to evaluate patterns and predictors of extreme use of disease-monitoring tests (serum tumor markers [STMs] and radiographic imaging) among women with MBC.

methodsThe SEER-Medicare database was used to identify women with MBC diagnosed from 2002 to 2011 who underwent disease monitoring. Billing dates of STMs (carcinoembryonic antigen and/or cancer antigen 15-3/cancer antigen 27.29) and imaging tests (computed tomography and/or positron emission tomography) were recorded; if more than one STM or imaging test were completed on the same day, they were counted once. We defined extreme use as > 12 STM and/or more than four radiographic imaging tests in a 12-month period. Multivariable analysis was used to identify factors associated with extreme use. In extreme users, total health care costs and end-of-life health care utilization were compared with the rest of the study population.

resultsWe identified 2,460 eligible patients. Of these, 924 (37.6%) were extreme users of disease-monitoring tests. Factors significantly associated with extreme use were hormone receptor-negative MBC (odds ratio [OR], 1.63; 95% CI, 1.27 to 2.08), history of a positron emission tomography scan (OR, 2.92; 95% CI, 2.40 to 3.55), and more frequent oncology office visits (OR, 3.14; 95% CI, 2.49 to 3.96). Medical costs per year were 59.2% higher in extreme users. Extreme users were more likely to use emergency department and hospice services at the end of life.

conclusionDespite an unknown clinical benefit, approximately one third of elderly women with MBC were extreme users of disease-monitoring tests. Higher use of disease-monitoring tests was associated with higher total health care costs. Efforts to understand the optimal frequency of monitoring are needed to inform clinical practice.

Indexed as

AgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsFemaleHumansMedicareMonitoring, PhysiologicPositron-Emission TomographySEER ProgramTomography, X-Ray ComputedUnited StatesBiomarkers, Tumor

Identifiers

PMID27161970
PMCPMC5012664
OpenAlexW2365981309

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.