Evidence map›Paper›PMID 34404682›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2021

Characterizing Trends in Cancer Patients' Survival Using the JPSurv Software.

Angela B Mariotto, Fanni Zhang, Dennis W Buckman, Daniel Miller, Hyunsoon Cho, Eric J Feuer

Open access · hybridAbstract readComment
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, 2021. 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
1.2field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  8. Article
  9. Survival Trends Among Adolescents and Young Adults Diagnosed With Cancer in the United States: Comparisons With Children and Older Adults.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Review
  10. Increase in the Life Expectancy of Patients with Cancer in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  11. Longer Survival From Melanoma in Germany.Deutsches Arzteblatt international · 2024
    Observational
  12. Long-term Cancer Survival Trends by Updated Summary Stage.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Angela B MariottoDivision of Cancer Control and Population Sciences, NCI, Bethesda, Maryland. mariotta@mail.nih.gov.ORCID 0000-0003-2423-1834
Fanni ZhangInformation Management Services Inc., Calverton, Maryland.
Dennis W BuckmanInformation Management Services Inc., Calverton, Maryland.
Daniel MillerInformation Management Services Inc., Calverton, Maryland.
Hyunsoon ChoDivision of Cancer Control and Population Sciences, NCI, Bethesda, Maryland.ORCID 0000-0002-3261-3114
Eric J FeuerDivision of Cancer Control and Population Sciences, NCI, Bethesda, Maryland.ORCID 0000-0003-4842-7751
Information Management Services · USCenter for Cancer Research · USNational Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImprovements in cancer survival are usually assessed by comparing survival in grouped years of diagnosis. To enhance analyses of survival trends, we present the joinpoint survival model webtool (JPSurv) that analyzes survival data by single year of diagnosis and estimates changes in survival trends and year-over-year trend measures.

methodsWe apply JPSurv to relative survival data for individuals diagnosed with female breast cancer, melanoma cancer, non-Hodgkin lymphoma (NHL), and chronic myeloid leukemia (CML) between 1975 and 2015 in the Surveillance, Epidemiology, and End Results Program. We estimate the number and location of joinpoints and the trend measures and provide interpretation.

resultsIn general, relative survival has substantially improved at least since the mid-1990s for all cancer sites. The largest improvements in 5-year relative survival were observed for distant-stage melanoma after 2009, which increased by almost 3 survival percentage points for each subsequent year of diagnosis, followed by CML in 1995-2010, and NHL in 1995-2003. The modeling also showed that for patients diagnosed with CML after 1995 (compared with before), there was a greater decrease in the probability of dying of the disease in the 4th and 5th years after diagnosis compared with the initial years since diagnosis.

conclusionsThe greatest increases in trends for distant melanoma, NHL, and CML coincided with the introduction of novel treatments, demonstrating the value of JPSurv for estimating and interpreting cancer survival trends. IMPACT: The JPSurv webtool provides a suite of estimates for analyzing trends in cancer survival that complement traditional descriptive survival analyses.

Indexed as

Breast NeoplasmsLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLymphoma, Non-HodgkinFemaleHumansSoftwareSurvival Analysis

Identifiers

PMID34404682
PMCPMC9662894
OpenAlexW3195707813

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.