Evidence map›Paper›PMID 28710943›Full record

ArticleCancer epidemiology2017

Survival after recurrence of stage I-III breast, colorectal, or lung cancer.

Michael J Hassett, Hajime Uno, Angel M Cronin, Nikki M Carroll, Mark C Hornbrook, Paul Fishman, Debra P Ritzwoller

Abstract read
In one paragraph

Article in Cancer epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  8. Review
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  10. CD8Clinical & translational immunology · 2020
    Article
  11. Article
  12. Does adjuvant therapy reduce postmetastatic survival?Annals of oncology : official journal of the European Society for Medical Oncology · 2019
    Article
  13. Article
  14. Article
  15. 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.

Michael J HassettDivision of Population Sciences, Dana-Farber Cancer Institute, Boston, MA, United States. Electronic address: michael_hassett@dfci.harvard.edu.
Hajime UnoHarvard Medical School, Boston, MA, United States.
Angel M CroninDivision of Population Sciences, Dana-Farber Cancer Institute, Boston, MA, United States.
Nikki M CarrollKaiser Permanente Colorado, Institute for Health Research, Denver, CO, United States.
Mark C HornbrookKaiser Permanente Center for Health Research, Portland, OR, United States.
Paul FishmanSchool of Public Health, University of Washington, Seattle, WA, United States.
Debra P RitzwollerKaiser Permanente Colorado, Institute for Health Research, Denver, CO, United States.

Funding

The HMO Cancer Research Network (CRN)U19CA079689 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI WAGNER, EDWARD H · 1999 to 2011
$62.6M
PROPENSITY SCORES IN HIERARCHICAL MODELSU01CA093344 · NCI · DANA-FARBER CANCER INSTITUTE · PI AYANIAN, JOHN Z., FOUAD, MONA N. · 2001 to 2011
$19.5M
Lung/Colon Cancer Outcomes--Cancer Research NetworkU01CA093332 · NCI · DANA-FARBER CANCER INSTITUTE · PI WEEKS, JANE C. · 2001 to 2008
$7.4M
Cancer Recurrence: Detection in Administrative Data, Incidence, and CostsR01CA172143 · NCI · DANA-FARBER CANCER INST · PI HASSETT, MICHAEL JAMES, RITZWOLLER, DEBRA P · 2013 to 2016
$1.7M
Statistical analysis methods for validating risk prediction modelsR21CA185704 · NCI · DANA-FARBER CANCER INST · PI UNO, HAJIME · 2014 to 2015
$414k
NCI NIH HHS R01 CA172143NCI NIH HHS R21 CA185704NCI NIH HHS U01 CA093332NCI NIH HHS U01 CA093344NCI NIH HHS U19 CA079689
6 · The paper itself

Abstract

backgroundThe experiences of patients with recurrent cancer are assumed to reflect those of patients with de novo stage IV disease; yet, little is truly known because most registries lack recurrence status. Using two databases with excellent recurrence and death information, we examined determinants of survival duration after recurrence of breast (BC), colorectal (CRC), and lung cancers (LC).

methodsRecurrence status was abstracted from the medical records of patients who participated in the Cancer Care Outcomes Research and Surveillance study and who received care at two Cancer Research Network sites-the Colorado and Northwest regions of Kaiser Permanente. The analysis included 1653 patients who developed recurrence after completing definitive therapy for stages I-III cancer. Multivariable modeling identified independent determinants of survival duration after recurrence, controlling for other factors.

resultsThrough 60 months' average follow-up, survival after recurrence for BC, CRC, and LC were 28.4, 23.1 and 16.1 months, respectively. Several factors were independently associated with shorter survival for all three cancers, including higher initial stage (III vs. I: BC -9.9 months; CRC -6.9 months; LC -7.4 months; P≤0.01). Factors associated with shorter survival for selected cancers included: distant/regional recurrence for BC and CRC; current/former smoker for LC; high grade for CRC; and <4-year time-to-recurrence for BC.

conclusionsInitial stage predicts survival duration after recurrence, whereas time-to-recurrence usually does not. The impact of biologic characteristics (e.g., grade, hormone-receptor status) on survival duration after recurrence needs further study. Predictors of survival duration after recurrence may help facilitate patient decision-making.

Indexed as

AgedBreast NeoplasmsCohort StudiesDatabases, FactualFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingRegistriesBreast cancerColorectal cancerLung cancerNatural historyOutcomesRecurrenceSurvival

Identifiers

PMID28710943
PMCPMC5572775

What OpenQuestion holds

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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.