Evidence map›Paper›PMID 31286464›Full record

ArticlePharmacoEconomics2019

Rising Economic Burden of Renal Cell Carcinoma among Elderly Patients in the USA: Part II-An Updated Analysis of SEER-Medicare Data.

Ya-Chen Tina Shih, Ying Xu, Chun-Ru Chien, Bumyang Kim, Yu Shen, Liang Li, Daniel M Geynisman

Abstract read
In one paragraph

Article in PharmacoEconomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. LowBioMed research international · 2021
    Article
  13. 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

7 authors.

Ya-Chen Tina ShihSection of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Univ 1444, Houston, TX, 77030, USA. yashih@mdanderson.org.ORCID 0000-0001-7290-3864
Ying XuSection of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Univ 1444, Houston, TX, 77030, USA.
Chun-Ru ChienDepartment of Radiation Oncology, China Medical University Hsinchu Hospital, Hsinchu, Taiwan.
Bumyang KimSection of Cancer Economics and Policy, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Univ 1444, Houston, TX, 77030, USA.
Yu ShenDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Liang LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Daniel M GeynismanDepartment of Hematology/Oncology, Fox Chase Cancer Center, Temple Health, Philadelphia, PA, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Targeted Oral Anticancer Agents: Patterns of Indicated and Off-Label Use, the Associated Factors, and Economic ImplicationsR01CA225647 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHIH, YA-CHEN TINA · 2019 to 2023
$1.8M
Estimating the Cost Trajectories and Projecting the Cost of Cancer Care in the United States: Methodology and ApplicationR01CA225646 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LI, LIANG, SHIH, YA-CHEN TINA · 2018 to 2022
$1.8M
Technology Diffusion in Cancer: Geographic Variations, Facilitators, Outcomes, and CostsR01CA207216 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHIH, YA-CHEN TINA · 2016 to 2020
$1.6M
NCI NIH HHS CCSG P30 CA016672NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA207216NCI NIH HHS R01CA207216NCI NIH HHS R01 CA225646NCI NIH HHS R01 CA225647
6 · The paper itself

Abstract

backgroundThe influx of new oncologic technologies has changed the treatment landscape of renal cell carcincoma (RCC) in the last decade. This study updated a previously published paper on the economic burden of RCC in the USA by using more recent data to examine the impact of various forms of new oncologic technologies on the economic burden of RCC.

methodsUsing the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database, we employed prevalence and incidence costing approaches to estimate RCC costs from the payer's perspective. We conducted a longitudinal analysis of cost data per patient per month for a prevalence cohort of patients with RCC to determine which category of new technology (surgery, radiation, or cancer drugs) was the major cost driver for RCC. We then applied the incidence costing approach to estimate costs related to RCC by care phase (initial, continuing, and terminal) and compared costs between two incidence cohorts to examine how new technology affected the economic burden of RCC over time.

resultsAfter controlling for demographic factors, clinical characteristics, neighborhood socioeconomic status, and time trend, we found that rising per patient per month costs were driven by new technologies in cancer drugs. Incidence-based analysis showed the annual net cost (2018 US$) for patients with distant-stage RCC diagnosed between 2002 and 2006 was $51,639, $19,025, $76,603, and $29,045 for the initial, continuing (year 1), terminal (died from RCC), and terminal (died from other causes) care phases, respectively. Costs increased to $70,703, $34,716, $107,989, and $47,538, respectively, for the incidence cohort diagnosed between 2007 and 2011.

conclusionThe rising economic burden of RCC was most pronounced among patients with distant-stage RCC, and driven primarily by new cancer drugs.

Indexed as

AgedCarcinoma, Renal CellCohort StudiesCost of IllnessDatabases, FactualFemaleHealth Care CostsHumansIncidenceKidney NeoplasmsMaleMedicarePrevalenceSEER ProgramUnited States

Identifiers

PMID31286464
PMCPMC6885100

What OpenQuestion holds

Textmetadata
LicenceTDM
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.