Evidence map›Paper›PMID 27820596›Full record

ArticleMedical care2017

Understanding Treatment Disconnect and Mortality Trends in Renal Cell Carcinoma Using Tumor Registry Data.

Marc C Smaldone, Brian Egleston, John M Hollingsworth, Brent K Hollenbeck, David C Miller, Todd M Morgan, Simon P Kim, Aseem Malhotra, Elizabeth Handorf, Yu-Ning Wong and 2 more

Abstract read
In one paragraph

Article in Medical care, 2017. 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
–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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. The future of "Retro" robotic partial nephrectomy.Translational andrology and urology · 2021
    Review
  9. Review
  10. Review
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Update on Renal Mass Biopsy.Current urology reports · 2017
    Review
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.

Marc C Smaldone*Division of Urologic Oncology †Department of Biostatistics and Bioinformatics, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA ‡Department of Urology, Michigan University, Ann Arbor, MI §Department of Urology, Yale University, New Haven, CT ∥Division of Medical Oncology, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA.
Brian Egleston
John M Hollingsworth
Brent K Hollenbeck
David C Miller
Todd M Morgan
Simon P Kim
Aseem Malhotra
Elizabeth Handorf
Yu-Ning Wong
Robert G Uzzo
Alexander Kutikov

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI CHARNITA M. ZEIGLER-JOHNSON · 1985 to 2026
$138.8M
Identifying Subgroups with Localized Kidney Cancer Who Can Defer SurgeryR03CA152388 · NCI · FOX CHASE CANCER CENTER · PI EGLESTON, BRIAN L · 2011 to 2012
$178k
NCI NIH HHS P30 CA006927NCI NIH HHS R03 CA152388
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe paradoxical rise in overall and cancer-specific mortality despite increased detection and treatment of renal cell carcinoma (RCC) is termed "treatment disconnect." We reassess this phenomenon by evaluating impact of missing data and rising incidence on mortality trends. RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using Surveillance, Epidemiology, and End Results data, we identified patients with RCC diagnosis from 1973 to 2011. We estimated mortality rates by tumor size after accounting for lags from diagnosis to death using multiple imputations for missing data from 1983. Mortality rates were estimated irrespective of tumor size after adjustment for prior cumulative incidence using ridge regression.

resultsA total of 78,891 patients met inclusion criteria. Of 70,212 patients diagnosed since 1983, 10.4% had missing data. Significant attenuation in cancer-specific mortality was noted from 1983 to 2011 when comparing observed with imputed rates: Δobs0.05 versus Δimp0.10 (P=0.001, <2 cm tumors); Δobs0.29 versus Δimp0.18 (P=0.005, 2-4 cm tumors); Δobs0.46 versus Δimp-0.20 (P<0.001, 4-7 cm tumors); Δobs0.93 versus Δimp-0.15 (P<0.001, >7 cm tumors). Holding incidence of RCC constant to 2011 rates, temporal increase in overall mortality for all patients was attenuated (P<0.001) when comparing observed estimates (3.9-6.8) with 2011 adjusted estimates (5.9-7.1), suggesting that rapidly rising incidence may influence reported overall mortality trends. These findings were supported by assessment of mortality to incidence ratio trends.

conclusionsMissing data and rising incidence may contribute substantially to the "treatment disconnect" phenomenon when examining mortality rates in RCC using tumor registry data. Caution is advised when basing clinical and policy decisions on these data.

Indexed as

RegistriesAgedCarcinoma, Renal CellFemaleHumansIncidenceKidney NeoplasmsMaleMiddle AgedMortalitySEER ProgramSurvival RateUnited States

Identifiers

PMID27820596
PMCPMC5352513

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.