Evidence map›Paper›PMID 29197354›Full record

SynthesisBMC cancer2017

Prevalence of incidental breast cancer and precursor lesions in autopsy studies: a systematic review and meta-analysis.

Elizabeth T Thomas, Chris Del Mar, Paul Glasziou, Gordon Wright, Alexandra Barratt, Katy J L Bell

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
2.0field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  5. Breast cancer diagnosis at age 85 and older.Breast cancer research and treatment · 2025
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  10. Cancers · 2025
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  13. Should low-risk DCIS lose the cancer label? An evidence review.Breast cancer research and treatment · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Review
  20. Article
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

6 authors at 2 institutions in 1 country.

Elizabeth T ThomasFaculty of Health Sciences and Medicine, Bond University, Robina, QLD, 4229, Australia.
Chris Del MarCentre for Research in Evidence-based Practice, Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, 4229, Australia.
Paul GlasziouCentre for Research in Evidence-based Practice, Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, 4229, Australia.
Gordon WrightFaculty of Health Sciences and Medicine, Bond University, Robina, QLD, 4229, Australia.
Alexandra BarrattSydney School of Public Health, Sydney Medical School, Edward Ford Building (A27), University of Sydney, Fisher Road, Sydney, NSW, 2006, Australia.
Katy J L BellCentre for Research in Evidence-based Practice, Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, 4229, Australia. katy.bell@sydney.edu.au.
Bond University · AUUniversity of Sydney · AU

Funding

National Health and Medical Research Council 1013390National Health and Medical Research Council 1104136National Health and Medical Research Council 527500National Health and Medical Research Council 633003
6 · The paper itself

Abstract

backgroundAutopsy studies demonstrate the prevalence pool of incidental breast cancer in the population, but estimates are uncertain due to small numbers in any primary study. We aimed to conduct a systematic review of autopsy studies to estimate the prevalence of incidental breast cancer and precursors.

methodsRelevant articles were identified through searching PubMed and Embase from inception up to April 2016, and backward and forward citations. We included autopsy studies of women with no history of breast pathology, which included systematic histological examination of at least one breast, and which allowed calculation of the prevalence of incidental breast cancer or precursor lesions. Data were pooled using logistic regression models with random intercepts (non-linear mixed models).

resultsWe included 13 studies from 1948 to 2010, contributing 2363 autopsies with 99 cases of incidental cancer or precursor lesions. More thorough histological examination (≥20 histological sections) was a strong predictor of incidental in-situ cancer and atypical hyperplasia (OR = 126·8 and 21·3 respectively, p < 0·001), but not invasive cancer (OR = 1·1, p = 0·75). The estimated mean prevalence of incidental cancer or precursor lesion was 19·5% (0·85% invasive cancer + 8·9% in-situ cancer + 9·8% atypical hyperplasia).

conclusionOur systematic review in ten countries over six decades found that incidental detection of cancer in situ and breast cancer precursors is common in women not known to have breast disease during life. The large prevalence pool of undetected cancer in-situ and atypical hyperplasia in these autopsy studies suggests screening programs should be cautious about introducing more sensitive tests that may increase detection of these lesions.

Indexed as

Incidental FindingsAdolescentAdultAgedAged, 80 and overAutopsyBreast NeoplasmsFemaleHumansLogistic ModelsMiddle AgedPrecancerous ConditionsPrevalenceYoung AdultAutopsyBreast neoplasmsEarly detection of cancerMass screening

Identifiers

PMID29197354
PMCPMC5712106
OpenAlexW2775495350

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.