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Record W2799529771 · doi:10.1055/s-0038-1648218

Controversies in the Use and Periodicity of Mammography as a Screening Method for Breast Cancer

2018· editorial· en· W2799529771 on OpenAlexaboutno aff
Rogério Bonassi Machado

Bibliographic record

VenueRevista Brasileira Ginecologia e Obstetrícia · 2018
Typeeditorial
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsnot available
Fundersnot available
KeywordsMammographyBreast cancerMedicineMammography screeningBreast cancer screeningGynecologyPopulationCancerDemographyObstetricsEnvironmental healthInternal medicine

Abstract

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Mammography has been used as a preparatory method for breast cancer screening, considering different protocols for specific age groups, which suggest the periodicity of its undertaking. The exam is considered necessary, both by physicians and the public, in population strategies to reduce mortality caused by breast cancer. However, studies have questioned the benefit of the periodic mammographic screening. In Canada, an analysis of women between 40 and 59 years old submitted to an annual mammography test for 5 consecutive years showed that there was no significant reduction in mortality rates associated with breast cancer.[ 1 ] In the United Kingdom, annual mammographic screening in women between 39 and 41 years old for 7 years resulted in a nonsignificant advantage.[ 2 ] These studies indicate that mammographic screening does not seem to offer benefits to prevent breast cancer in low- or medium-risk women. From an epidemiological perspective, screening assumes the use of mammography in healthy women to detect suspected cancer, which will subsequently be submitted to specific diagnostic tests to confirm the disease and guide the treatment. A better mammographic screening approach would effectively reduce death rates in women who undergo this type of exam. Any case of cancer detected through screening should be treated and followed-up over a long period of time for professionals to verify its impact on mortality rates. When mortality rates associated with breast cancer are compared, it is necessary to separate the cases which were detected, treated and followed-up in screening programs from those in which the diagnosis was performed without screening mammography, according to the disease stage indicated by the diagnosis. In this scenario, which confronts recent studies and the traditional epidemiological concept, it is important to stress the fact that the detection of a breast cancer case through mammographic screening does not guarantee that the death risk by the disease is reduced. Consequently, part of the controversy results from the confusion about what is known as early detection versus method efficacy. It is believed that a few biases are responsible for the questioning of mammographic screening, such as execution time, selection bias, and especially overdiagnosis.[ 3 ] The latter consists of diagnosing a disease that will lead to neither symptoms nor death. The Canadian study previously mentioned detected 26% of overdiagnosis, and the number can reach up to 50% if cases of ductal carcinoma in situ are included, as revealed by a 25-year follow-up.[ 1 ] In the oncology field, overdiagnosis is defined as the detection of cancer that would not have evolved to be clinically detectable. The type of cancer most frequently detected through mammographic screening is ductal carcinoma in situ, and studies have not shown significant effects of this tumor on women's survival after 20 years of follow-up post- diagnosis.[ 4 ] Previous investigations demonstrated that the probability of a woman who had a cancer diagnosis receiving an overdiagnosis is 19%.[ 5 ] [ 6 ] [ 7 ] Applying this value to the recent cumulative incidence of breast cancer in the United Kingdom (invasive and in situ) means that 1 out of 77 women screened from 55 to 70 years would have an overdiagnosed breast cancer. Authors also claim that the consequences of overdiagnosis are unnecessary surgeries, radiotherapy, and chemotherapy. Nevertheless, they conclude that it is impossible to distinguish between life-threatening carcinomas and overdiagnoses initially, and that further studies assessing accurate overdiagnosis rates are fundamental. There are other issues associated with mammographic screening, although they are more infrequent. Around 4% of women submitted to the test are called to repeat the exam and possibly undergo a biopsy.[ 8 ] Among them, 20% will have cancer, 70% will need further imaging studies, and 30% will require biopsy, procedures that cause psychological damage and anxiety.[ 8 ] The main question concerning the implementation of screening programs relates to the disease mortality though. The first conclusions regarding breast cancer mortality are based on a Cochrane systematic review.[ 9 ] The global relative risk, comparing screened and non-screened women, is 0.80 (confidence interval of 95%, 0.73–0.89), that is, the reduction in relative risk of breast cancer mortality in screened women is 20%.[ 9 ] In terms of absolute gain, women screened from 50 to 70 years will experience no benefit in the first 5 years of screening, but mortality reduction will last for 10 years after the last exam. Regarding the direct impact on deaths provoked by breast cancer, 1 death will be prevented in a group of 235 screened women.[ 9 ] Despite the data from studies performed in developed countries, reflections are necessary when the Brazilian reality is evaluated. In our country, 40% of 50- to 69-year-old women do not undertake mammograms.[ 10 ] Consequently, our context still needs improvement in the potential of basic screening for the disease. Taking into account that the Brazilian female population between 50 and 69 years is around 15 million,[ 11 ] and that 60% of these women are effectively screened through mammography, there would be 40 thousand breast cancer-related deaths prevented. There is a striking contrast between developed and developing countries when it comes to unmet needs. In the former, mammographic screening is questioned and efforts are made toward breast cancer therapy, which is undeniably the main factor associated with decreased mortality rates. Developing countries still have a great challenge to increase effective screening rates. The Brazilian reality seems not to allow the dismissal of mammography in breast cancer screening. However, faced with current evidence, women must be informed about the benefits and potential risks of overdiagnosis, so their decision on participating in a screening program is as clarified as possible. * President of the Brazilian Commission for Contraception at FEBRASGO, Brazil.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.070
GPT teacher head0.373
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2018
Admission routes1
Has abstractyes

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