Evidence map›Paper›PMID 23618020›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2012

False-positive screening mammograms and biopsies among women participating in a Canadian provincial breast screening program.

Andrew J Coldman, Norm Phillips

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. The OncoSim-Breast Cancer Microsimulation Model.Current oncology (Toronto, Ont.) · 2022
    Article
  3. Article
  4. Canadian family physician Medecin de famille canadien · 2019
    Article
  5. Article
  6. Review
  7. 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

2 authors.

Andrew J ColdmanCancer Surveillance and Outcomes, Population Oncology, BC Cancer Agency, Vancouver, BC. acoldman@bccancer.bc.ca
Norm Phillips

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMammography screening results in false positives that cause anxiety and utilize scarce medical resources for their resolution. Determination of screening recommendations requires knowledge of the population risk of false positives.

methodsData were extracted from the Screening Mammography Program of British Columbia and analyzed to determine the influence of personal factors including age, ethnic group and screening history, and the centre where screening was performed, on the likelihood a new screen would result in a false positive and whether a biopsy was required. The resulting probabilities were combined to provide values for lifetime screening algorithms.

resultsAge, screen sequence number, history of previous abnormal screens and centre where screening was performed were significantly related to the likelihood a new screen would be a false positive. British Columbia women screened biennially between the ages of 50 and 69 have a projected 41% chance of a false-positive screen and a 5.6% risk of a related biopsy, with the best performing centres having rates of 26% and 3%, respectively.

interpretationModel projections for BC overall are comparable to other North American estimates. Estimates varied depending upon screening centre attended.

Indexed as

BiopsyMammographyAdultAgedAlgorithmsBreast NeoplasmsBritish ColumbiaEarly Detection of CancerFalse Positive ReactionsFemaleHumansMiddle AgedModels, StatisticalRisk Factorsbreast neoplasmsmammographymass screeningsensitivity and specificity

Identifiers

PMID23618020
PMCPMC6975198

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.