Evidence map›Paper›PMID 10555768›Full record

ArticleBritish journal of cancer1999

Interval cancers in the Dutch breast cancer screening programme.

J Fracheboud, H J de Koning, P M Beemsterboer, R Boer, A L Verbeek, J H Hendriks, B M van Ineveld, M J Broeders, A E de Bruyn, P J van der Maas

Abstract readComparative Study
In one paragraph

Article in British journal of cancer, 1999. 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.

  1. Article
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  6. Population-based screening for cancer: hope and hype.Nature reviews. Clinical oncology · 2016
    Review
  7. Article
  8. Article
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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

10 authors.

J FracheboudDepartment of Public Health, Erasmus University Rotterdam, The Netherlands.
H J de Koning
P M Beemsterboer
R Boer
A L Verbeek
J H Hendriks
B M van Ineveld
M J Broeders
A E de Bruyn
P J van der Maas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nationwide breast cancer screening programme in The Netherlands for women aged 50-69 started in 1989. In our study we assessed the occurrence and stage distribution of interval cancers in women screened during 1990-1993. Records of 0.84 million screened women were linked to the regional cancer registries yielding a follow-up of at least 2.5 years. Age-adjusted incidence rates and relative (proportionate) incidences per tumour size including ductal carcinoma in-situ were calculated for screen-detected and interval cancers, and cancers in not (yet) screened women, comparing them with published data from the UK regions North West and East Anglia. In total 1527 interval cancers were identified: 0.95 and 0.99 per 1000 woman-years of follow-up in the 2-year interval after initial and subsequent screens respectively. In the first year after initial screening interval cancers amounted to 27% (26% after subsequent screens) of underlying incidence, and in the second year to 52% (55%). Generally, interval cancers had a more favourable tumour size distribution than breast cancer in not (yet) screened women. The Dutch programme detected relatively less (favourable) invasive cancers in initial screens than the UK programme, whereas the number of interval cancers confirms UK findings. Measures should be considered to improve the detection of small invasive cancers and to reduce false-negative rates, even if this will lead to increasing referral rates.

Indexed as

AgedBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma in SituFemaleHumansIncidenceMass ScreeningMiddle AgedNeoplasm StagingNetherlandsRegistriesTime FactorsUnited Kingdom

Identifiers

PMID10555768
PMCPMC2374303

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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.