MétaCan
Menu
Back to cohort
Record W2653832257 · doi:10.1177/0017896917712300

The Angelina Jolie effect – Impact on breast and ovarian cancer prevention A systematic review of effects after the public announcement in May 2013

2017· review· en· W2653832257 on OpenAlexaboutno aff
Gianmarco Troiano, Nicola Nante, Mauro Cozzolino

Bibliographic record

VenueHealth Education Journal · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBreast cancerMastectomyProphylactic MastectomyGynecologyFamily medicineOvarian cancerCancerInternal medicine

Abstract

fetched live from OpenAlex

Background: On 14 May 2013, Angelina Jolie (AJ), revealed herself to be the carrier of a BReast CAncer 1 (BRCA1) gene mutation and announced her decision to undergo a prophylactic mastectomy, followed by a laparoscopic bilateral salpingo-oophorectomy. This review explores the impact of the ‘Angelina Jolie Effect’ in order to reveal whether her announcement led to a change in the attitude of patients, and in decisions regarding healthcare options focusing especially on referrals, on genetic tests and on prophylactic mastectomies. Methods: Between January–February 2017, we performed a systematic search in PubMed using the key search term ‘Angelina Jolie’. We searched for studies published between 2013 and 2017, reporting data on number of BRCA1/2 tests, number of referrals for breast or ovarian cancer and number of performed mastectomies, before and after AJ’s disclosure. We considered eligible for inclusion all cross-sectional, retrospective, prospective studies written in English. Results: The literature search yielded 27 publications. After the analysis of title, abstracts and full text, we identified eight manuscripts for inclusion in the review. The studies were conducted from 2011 to 2015 in the USA, Austria, Australia, Canada and the UK. The announcement generated an increase of referrals for breast/ovarian cancer with peaks of +285%, an increase of BRCA tests with a peak of +80%, but did not lead to a significant increase of prophylactic mastectomies. Patients with a lower level of education asked for information about cancer, and most patients became more aware of breast reconstruction post-mastectomy. Conclusion: Celebrity disclosures, such as AJ’s revelation of her BRCA status and her decision for a prophylactic mastectomy, can influence patients’ behaviour leading to important effects on attitudes towards screening. Organisations should assist patients appropriately, but at the same time should consider the available resources, and should interface with journalists and the social media in order to guarantee the validity of the information.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.103
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.103
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.035
GPT teacher head0.444
Teacher spread0.409 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations29
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueHealth Education JournalSame topicBRCA gene mutations in cancerFrench-language works237,207