Evidence map›Paper›PMID 23361055›Full record

ArticleBritish journal of cancer2013

A comprehensive assessment of the impact of errors in the cancer registration process on 1- and 5-year relative survival estimates.

M J Rutherford, H Møller, P C Lambert

Abstract read
In one paragraph

Article in British journal of cancer, 2013. 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
–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

13 citing papers in PubMed.

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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.

M J RutherfordUniversity of Leicester, Department of Health Sciences, Leicester LE1 7RH, UK. mark.rutherford@le.ac.uk
H Møller
P C Lambert

Funding

Cancer Research UK 13275Cancer Research UK A13275
6 · The paper itself

Abstract

backgroundWhen making international comparisons of cancer survival, it is essential reported differences are real effects and not an artefact of potential errors in cancer registration.

methodsWe use simulation methods to assess the impact of various cancer registration errors on commonly reported outcomes of cancer survival (1-, and 5-year relative survival estimates). We draw two samples of patients diagnosed with cancer from one population and introduce potential registration errors in one of the sample populations under various assumptions. We investigate the effect of errors individually as well as the composite effect when combined with other registration errors.

resultsThe results indicate that high levels of cancer registration errors are necessary to make a noticeable effect on commonly reported metrics of cancer survival. Differences of up to 3 percentage units in the 5-year relative survival proportion are seen under plausible scenarios.

conclusionThis study is a comprehensive assessment of cancer registration errors and the consequent impact on commonly reported survival statistics. We show that under plausible scenarios, it is very unlikely that these biases are large enough to explain the variation in international comparisons of cancer survival. Registration errors will also impact on other metrics reported from registry data, such as incidence.

Indexed as

RegistriesSurvivorsCohort StudiesComputer SimulationHumansIncidenceNeoplasmsPrognosisSurvival RateTime Factors

Identifiers

PMID23361055
PMCPMC3593558

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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.