Evidence map›Paper›PMID 23322203›Full record

Trial reportBritish journal of cancer2013

Parameter estimates for invasive breast cancer progression in the Canadian National Breast Screening Study.

S Taghipour, D Banjevic, A B Miller, N Montgomery, A K S Jardine, B J Harvey

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06193707 (Assessment of the Effect of Intelligence Remote Intervention on High-Risk Populations for Breast Cancer), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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.

NCT06193707 nanot yet recruitingnot on this mapstarted 2024, after this paper: background citation

Assessment of the Effect of Intelligence Remote Intervention on High-Risk Populations for Breast Cancer

TypeinterventionalSponsorQianfoshan HospitalRan2024 to 2027Enrolled1,250ConditionsUltrasonography, Breast Neoplasm Female, Breast Carcinoma, Health EducationArmsthe Remote Intervention, the Traditional Intervention
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Estimating Distributions of Breast Cancer Onset and Growth in a Swedish Mammography Screening Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  9. 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.

S TaghipourDepartment of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada. sharareh@ryerson.ca or
D Banjevic
A B Miller
N Montgomery
A K S Jardine
B J Harvey

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundThe aim of screening is to detect a cancer in the preclinical state. However, a false-positive or a false-negative test result is a real possibility.

methodsWe describe invasive breast cancer progression in the Canadian National Breast Screening Study and construct progression models with and without covariates. The effect of risk factors on transition intensities and false-negative probability is investigated. We estimate the transition rates, the sojourn time and sensitivity of diagnostic tests for women aged 40-49 and 50-59.

resultsAlthough younger women have a slower transition rate from healthy state to preclinical, their screen-detected tumour becomes evident sooner. Women aged 50-59 have a higher mortality rate compared with younger women. The mean sojourn times for women aged 40-49 and 50-59 are 2.5 years (95% CI: 1.7, 3.8) and 3.0 years (95% CI: 2.1, 4.3), respectively. Sensitivity of diagnostic procedures for older women is estimated to be 0.75 (95% CI: 0.55, 0.88), while women aged 40-49 have a lower sensitivity (0.61, 95% CI: 0.42, 0.77). Age is the only factor that affects the false-negative probability. For women aged 40-49, 'age at entry', 'history of breast disease' and 'families with breast cancer' are found to be significant for some of the transition rates. For the age-group 50-59, 'age at entry', 'history of breast disease', 'menstruation length' and 'number of live births' are found to affect the transition rates.

conclusionModelling and estimating the parameters of cancer progression are essential steps towards evaluating the effectiveness of screening policies. The parameters include the transition rates, the preclinical sojourn time, the sensitivity, and the effect of different risk factors on cancer progression.

Indexed as

Early Detection of CancerMammographyModels, StatisticalAdultBreast NeoplasmsCanadaDisease ProgressionFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm InvasivenessPrognosisRisk Factors

Identifiers

PMID23322203
PMCPMC3593551

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Registered trials

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.