Evidence map›Paper›PMID 31221717›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Differences in Cancer Survival with Relative versus Cause-Specific Approaches: An Update Using More Accurate Life Tables.

Gonçalo Forjaz de Lacerda, Nadia Howlader, Angela B Mariotto

Abstract 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, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Assessing 1-Year Comorbidity Prevalence and Its Survival Implications in Medicare Beneficiaries Diagnosed with Cancer: Insights from a New SEER-Medicare Resource.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  12. Choice of Survival Metric and Its Impacts on Cancer Survival Estimates for American Indian and Alaska Native People.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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  17. Prostate Cancer Survival by Risk and Other Prognostic Factors in Mallorca, Spain.International journal of environmental research and public health · 2021
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  19. Estimating Population-Based Recurrence Rates of Colorectal Cancer over Time 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 · 2020
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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

3 authors.

Gonçalo Forjaz de LacerdaDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland. goncalo.forjaz@nih.gov.
Nadia HowladerDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.
Angela B MariottoDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundWe investigated differences in net cancer survival (survival observed if the only possible cause of death was the cancer under study) estimated using new approaches for relative survival (RS) and cause-specific survival (CSS).

methodsWe used SEER data for patients diagnosed in 2000 to 2013, followed-up through December 31, 2014. For RS, we used new life tables accounting for geography and socio-economic status. For CSS, we used the SEER cause of death algorithm for attributing cancer-specific death. Estimates were compared by site, age, stage, race, and time since diagnosis.

resultsDifferences between 5-year RS and CSS were generally small. RS was always higher in screen-detectable cancers, for example, female breast (89.2% vs. 87.8%) and prostate (98.5% vs. 93.7%) cancers; differences increased with age or time since diagnosis. CSS was usually higher in the remaining cancer sites, particularly those related to specific risk factors, for example, cervix (70.9% vs. 68.3%) and liver (20.7% vs. 17.1%) cancers. For most cancer sites, the gap between estimates was smaller with more advanced stage. IMPACT: Different approaches for net survival estimation should be considered depending on cancer under study.

Indexed as

Life TablesFemaleHumansMaleNeoplasmsRisk FactorsSurvival Analysis

Identifiers

PMID31221717
PMCPMC6726514

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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.