Evidence map›Paper›PMID 32998946›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Estimating Population-Based Recurrence Rates of Colorectal Cancer over Time in the United States.

Natalia Kunst, Fernando Alarid-Escudero, Eline Aas, Veerle M H Coupé, Deborah Schrag, Karen M Kuntz

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after Intervention.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. CDX2 Biomarker Testing and Adjuvant Therapy for Stage II Colon Cancer: An Exploratory Cost-Effectiveness Analysis.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022
    Article
  18. Article
  19. Review
  20. 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

6 authors at 5 institutions in 4 countries.

Natalia KunstDepartment of Health Management and Health Economics, Faculty of Medicine, University of Oslo, Oslo, Norway. natalia.kunst@medisin.uio.no natalia.kunst@yale.edu.ORCID 0000-0002-2409-4246
Fernando Alarid-EscuderoDivision of Public Administration, Center for Research and Teaching in Economics (CIDE), Aguascalientes, Aguascalientes, Mexico.ORCID 0000-0001-5076-1172
Eline AasDepartment of Health Management and Health Economics, Faculty of Medicine, University of Oslo, Oslo, Norway.
Veerle M H CoupéDepartment of Epidemiology and Data Science, Amsterdam University Medical Centers, Amsterdam, the Netherlands.ORCID 0000-0002-9553-9791
Deborah SchragDivision of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.
Karen M KuntzDivision of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota.
OsloMet – Oslo Metropolitan University · NOAmsterdam University Medical Centers · NLAutonomous University of Aguascalientes · MXDana-Farber Cancer Institute · USUniversity of Minnesota · US

Funding

Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future ResearchU01CA199335 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2015 to 2019
$5.5M
NCI NIH HHS U01 CA199335
6 · The paper itself

Abstract

backgroundPopulation-based metastatic recurrence rates for patients diagnosed with nonmetastatic colorectal cancer cannot be estimated directly from population-based cancer registries because recurrence information is not reported. We derived population-based colorectal cancer recurrence rates using disease-specific survival data based on our understanding of the colorectal cancer recurrence-death process.

methodsWe used a statistical continuous-time multistate survival model to derive population-based annual colorectal cancer recurrence rates from 6 months to 10 years after colorectal cancer diagnosis using relative survival data from the Surveillance, Epidemiology, and End Results Program. The model was based on the assumption that, after 6 months of diagnosis, all colorectal cancer-related deaths occur only in patients who experience a metastatic recurrence first, and that the annual colorectal cancer-specific death rate among patients with recurrence was the same as in those diagnosed with

resultsIn patients diagnosed in 1975-1984, annual recurrence rates 6 months to 5 years after diagnosis ranged from 0.054 to 0.060 in stage II colon cancer, 0.094 to 0.105 in stage II rectal cancer, and 0.146 to 0.177 in stage III colorectal cancer, depending on age. We found a statistically significant decrease in colorectal cancer recurrence among patients diagnosed in 1994-2003 compared with those diagnosed in 1975-1984 for 6 months to 5 years after diagnosis (hazard ratios between 0.43 and 0.70).

conclusionsWe derived population-based annual recurrence rates for up to 10 years after diagnosis using relative survival data. IMPACT: Our estimates can be used in decision-analytic models to facilitate analyses of colorectal cancer interventions that are more generalizable.

Indexed as

AdultAgedColorectal NeoplasmsFemaleHumansIncidenceMaleMiddle AgedNeoplasm Recurrence, LocalTime FactorsUnited StatesYoung Adult

Identifiers

PMID32998946
PMCPMC7747688
OpenAlexW3090131350

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.