Evidence map›Paper›PMID 23680223›Full record

ArticleBreast cancer research : BCR2013

Overdiagnosis in breast cancer screening: the importance of length of observation period and lead time.

Stephen W Duffy, Dharmishta Parmar

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
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  9. Association between use of urgent suspected cancer referral and mortality and stage at diagnosis: a 5-year national cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
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  13. Editorial: Challenges in Quantifying Overdiagnosis.Journal of the National Cancer Institute · 2017
    Article
  14. Trends in Breast Cancer Epidemiology in Chelyabinsk Region, 2006-2015Asian Pacific journal of cancer prevention : APJCP · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Stephen W Duffy
Dharmishta Parmar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverdiagnosis in breast cancer screening is a controversial topic. One difficulty in estimation of overdiagnosis is the separation of overdiagnosis from lead time that is the advance in the time of diagnosis of cancers, which confers an artificial increase in incidence when a screening programme is introduced.

methodsWe postulated a female population aged 50-79 with a similar age structure and age-specific breast cancer incidence as in England and Wales before the screening programme. We then imposed a two-yearly screening programme; screening women aged 50-69, to run for twenty years, with exponentially distributed lead time with an average of 40 months in screen-detected cancers. We imposed no effect of the screening on incidence other than lead time.

resultsComparison of age- and time-specific incidence between the screened and unscreened populations showed a major effect of lead time, which could only be adjusted for by follow-up for more than two decades and including ten years after the last screen. From lead time alone, twenty-year observation at ages 50-69 would confer an observed excess incidence of 37%. The excess would only fall below 10% with 25 years or more follow-up. For the excess to be nullified, we would require 30 year follow-up including observation up to 10 years above the upper age limit for screening.

conclusionStudies using shorter observation periods will overestimate overdiagnosis by inclusion of cancers diagnosed early due to lead time among the nominally overdiagnosed tumours.

Indexed as

Diagnostic ErrorsEarly Detection of CancerAgedBreast NeoplasmsEnglandFemaleHumansMass ScreeningMiddle Aged

Identifiers

PMID23680223
PMCPMC3706885

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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.