Evidence map›Paper›PMID 30070069›Full record

ArticleCancer medicine2018

A comparison of relative survival and cause-specific survival methods to measure net survival in cancer populations.

Nupur Makkar, Quinn T Ostrom, Carol Kruchko, Jill S Barnholtz-Sloan

Abstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

18 citing papers in PubMed.

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  11. 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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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

4 authors.

Nupur MakkarCase Western Reserve University School of Medicine, Cleveland, Ohio.
Quinn T OstromCase Western Reserve University School of Medicine, Cleveland, Ohio.ORCID 0000-0003-3469-7558
Carol KruchkoCentral Brain Tumor Registry of the United States, Hinsdale, Illinois.
Jill S Barnholtz-SloanCase Western Reserve University School of Medicine, Cleveland, Ohio.ORCID 0000-0001-6190-9304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate cancer survival statistics are necessary for describing population-level survival patterns and measuring advancements in cancer care. Net cancer survival is measured using two methods: cause-specific survival (CSS) and relative survival (RS). Both are valid methodologies for estimating net survival and are used widely in medical research. In these analyses, we compare CSS to RS at selected cancer sites.

methodsUsing data from 18 SEER registries between 2000 and 2014, five-year RS and CSS estimates were generated overall as well as by age groups and by sex. To assess how closely the two survival methods corresponded, net survival percent difference was calculated with the following formula: ((RS-CSS)/RS)*100.

resultsDiscrepancies between estimates obtained from CSS and RS methods varied with cancer site and age, but not by sex. In most cases, CSS was greater than RS, but cancers with available early screening and high survival rate had higher RS than CSS. Net survival percent differences were small in children and adolescents and young adults, and large in adults over the age of 40.

conclusionsWhile both CSS and RS aim to quantify net survival, the estimates tend to differ due to the biases present in both methodologies. Error when estimating CSS most frequently stems from misclassification of cause of death, whereas RS is subject to error when no suitable life tables are available. Appropriate use of CSS and RS requires a detailed understanding of the characteristics of the disease that may lead to differences in the estimates generated by these methods.

Indexed as

AdolescentAdultAgedAge FactorsCause of DeathChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedMortalityNeoplasmsNeoplasm Stagingcancer registriescause of deathlife tablesstatistical data interpretationsurvival analysis

Identifiers

PMID30070069
PMCPMC6143929

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Registered trials

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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.