Evidence map›Paper›PMID 22113564›Full record

ArticleBMJ (Clinical research ed.)2011

Overdiagnosis from non-progressive cancer detected by screening mammography: stochastic simulation study with calibration to population based registry data.

Arnaud Seigneurin, Olivier François, José Labarère, Pierre Oudeville, Jean Monlong, Marc Colonna

Open access · hybridAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  3. Modeling the Impact of Multicancer Early Detection Tests: A Review of Natural History of Disease Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. An exploration for quantification of overdiagnosis and its effect for breast cancer screening.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2020
    Article
  13. Article
  14. Modeling Ductal Carcinoma In Situ (DCIS): An Overview of CISNET Model Approaches.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Arnaud SeigneurinRegistre du Cancer de l'Isère, Centre Hospitalier Universitaire de Grenoble, BP 217, Pavillon E, 38043 Grenoble Cedex 9, France. aseigneurin@chu-grenoble.fr
Olivier François
José Labarère
Pierre Oudeville
Jean Monlong
Marc Colonna
Centre National de la Recherche Scientifique · FRUniversité Grenoble Alpes · FRCentre Hospitalier Universitaire de Grenoble · FRUniversité Joseph Fourier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantify the magnitude of overdiagnosis from non-progressive disease detected by screening mammography, after adjustment for the potential for lead time bias, secular trend in the underlying risk of breast cancer, and opportunistic screening.

designApproximate bayesian computation analysis with a stochastic simulation model designed to replicate standardised incidence rates of breast cancer. The model components included the lifetime probability of breast cancer, the natural course of breast cancer, and participation in organised and opportunistic mammography screening.

settingIsère, a French administrative region with nearly 1.2 million inhabitants.

participantsAll women living in Isère and aged 50-69 during 1991-2006.

main outcome measuresOverdiagnosis, defined as the proportion of non-progressive cancers among all cases of invasive cancer and carcinoma in situ detected 1991-2006.

resultsIn 1991-2006, overdiagnosis from non-progressive disease accounted for 1.5% of all cases of invasive cancer (95% credibility interval 0.3% to 2.9%) and 28.0% of all cases of carcinoma in situ (2.2% to 59.8%) detected either clinically or by screening mammography in Isère. When analysis was restricted to the cancers detected by screening mammography only, the estimates of overdiagnosis were 3.3% (0.7% to 6.5%) and 31.9% (2.9% to 62.3%) for invasive cancer and carcinomas in situ, respectively.

conclusionOverdiagnosis from the detection of non-progressive disease by screening mammography was limited in 1991-2006 in Isère. Because carcinoma in situ accounted for less than 15% of all incident breast cancer cases, its contribution to overdiagnosis was relatively limited and imprecise.

Indexed as

MammographyAgedBayes TheoremBreast NeoplasmsFemaleHumansMiddle AgedRegistriesStochastic Processes

Identifiers

PMID22113564
PMCPMC3222945
OpenAlexW1988828013

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.