Evidence map›Paper›PMID 26275405›Full record

ArticleBMC medical research methodology2015

Comparison of different approaches to estimating age standardized net survival.

Paul C Lambert, Paul W Dickman, Mark J Rutherford

Abstract readComparative Study
In one paragraph

Article in BMC medical research methodology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

35 citing papers in PubMed.

  1. Trial
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  7. Monitoring Temporal Trends in Cancer Survival: Choosing Appropriate Standards When Accounting for Age and Other-Cause Mortality Variation Over Time.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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  14. Observational
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  17. Cervical Cancer Stage at Diagnosis and Survival among Women ≥65 Years in California.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  18. Reference-Adjusted Loss in Life Expectancy for Population-Based Cancer Patient Survival Comparisons-with an Application to Colon Cancer in Sweden.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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.

Paul C LambertDepartment of Health Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK. paul.lambert@le.ac.uk.
Paul W DickmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, PO BOX 281, 24105, Sweden. paul.dickman@ki.se.
Mark J RutherfordDepartment of Health Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK. mark.rutherford@le.ac.uk.

Funding

Cancer Research UK 13275Cancer Research UK 18262Cancer Research UK CRUK_A1327
6 · The paper itself

Abstract

backgroundAge-standardized net survival provides an important population-based summary of cancer survival that appropriately accounts for differences in other-cause mortality rates and standardizes the population age distribution to allow fair comparisons. Recently, there has been debate over the most appropriate method for estimating this quantity, with the traditional Ederer II approach being shown to have potential bias.

methodsWe compare lifetable-based estimates (Ederer II), a new unbiased method based on inverse probability of censoring weights (Pohar Perme) and model-based estimates. We make the comparison in a simulation setting; generating scenarios where we would expect to see a large theoretical bias.

resultsOur simulations demonstrate that even in relatively extreme scenarios there is negligible bias in age-standardized net survival when using the age-standardized Ederer II method, modelling with continuous age or using the Pohar Perme method. However, both the Ederer II and modelling approaches have some advantages over the Pohar Perme method in terms of greater precision, particularly for longer-term follow-up (10 and 15 years).

conclusionsOur results show that, when age-standardizing, concern over bias with the traditional methods is unfounded. We have also shown advantages in using the more traditional and modelling methods.

Indexed as

AlgorithmsComputer SimulationModels, TheoreticalAdolescentAdultAgedAged, 80 and overAge DistributionAge FactorsChildChild, PreschoolHumansInfantInfant, NewbornMiddle AgedNeoplasms

Identifiers

PMID26275405
PMCPMC4537569

What OpenQuestion holds

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LicenceCC BY
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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.