Evidence map›Paper›PMID 37148828›Full record

ArticleCancer epidemiology2023

Breast and colorectal cancer recurrence-free survival estimates in the US: Modeling versus active data collection.

Angela B Mariotto, Trevor D Thompson, Chris Johnson, Xiao-Cheng Wu, Lori A Pollack

Abstract read
In one paragraph

Article in Cancer epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Prediction of Risk of Metastatic Recurrence for Female Breast Cancer Patients in the Presence of Competing Causes of Death.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    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

5 authors.

Angela B MariottoDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA. Electronic address: mariotta@mail.nih.gov.
Trevor D ThompsonDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Chris JohnsonCancer Data Registry of Idaho, Idaho Hospital Association, Boise, ID, USA.
Xiao-Cheng WuLSU Health Sciences Center, School of Public Health, New Orleans, LA, USA.
Lori A PollackDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

CDC HHS NU58DP006320Intramural NIH HHS Z99 CA999999NCCDPHP CDC HHS U58 DP000792
6 · The paper itself

Abstract

backgroundA modeling method was developed to estimate recurrence-free survival using cancer registry survival data. This study aims to validate the modeled recurrence-free survival against "gold-standard" estimates from data collected by the National Program of Cancer Registries (NPCR) Patient-Centered Outcomes Research (PCOR) project.

methodsWe compared 5-year metastatic recurrence-free survival using modeling and empirical estimates from the PCOR project that collected disease-free status, tumor progression and recurrence for colorectal and female breast cancer cases diagnosed in 2011 in 5 U.S. state registries. To estimate empirical recurrence-free survival, we developed an algorithm that combined disease-free, recurrence, progression, and date information from NPCR-PCOR data. We applied the modeling method to relative survival for patients diagnosed with female breast and colorectal cancer in 2000-2015 in the SEER-18 areas.

resultsWhen grouping patients with stages I-III, the 5-year metastatic recurrence-free modeled and NPCR-PCOR estimates are very similar being respectively, 90.2 % and 88.6 % for female breast cancer, 74.6 % and 75.3 % for colon cancer, and 68.8 % and 68.5 % for rectum cancer. In general, the 5-year recurrence-free NPCR-PCOR and modeled estimates are still similar when controlling by stage. The modeled estimates, however, are not as accurate for recurrence-free survival in years 1-3 from diagnosis.

conclusionsThe alignment between NPCR-PCOR and modeled estimates supports their validity and provides robust population-based estimates of 5-year metastatic recurrence-free survival for female breast, colon, and rectum cancers. The modeling approach can in principle be extended to other cancer sites to provide provisional population-based estimates of 5-year recurrence free survival.

Indexed as

Breast NeoplasmsColonic NeoplasmsRectal NeoplasmsFemaleHumansRegistriesSEER ProgramBreast cancerCancer Registry dataColorectal cancerMetastasisRecurrenceSurvival methods

Identifiers

PMID37148828
PMCPMC10956542

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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.