Evidence map›Paper›PMID 30328515›Full record

ReviewHuman genetics2018

Personalised medicine and population health: breast and ovarian cancer.

Steven A Narod

Abstract readReview
PubMed Publisher
In one paragraph

Review in Human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review article: the future of microbiome-based therapeutics.Alimentary pharmacology & therapeutics · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Photodynamic Therapy Induced Cell Death Mechanisms in Breast Cancer.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Article
  19. Article
  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

1 author.

Steven A NarodWomen's College Research Institute, Women's College Hospital, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada. steven.narod@wchospital.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been suggested that a personalised approach to cancer prevention and screening might lead to a new paradigm for cancer control. Various aspects include testing for high-penetrance cancer susceptibility genes and generating personal risks scores, based on panels of single nucleotide polymorphisms. These tests can categorize women into various groupings of risk for cancer prevention (surgery and chemoprevention) cancer screening and prevention of cancer recurrence. In this review, I investigate various claims and come to the conclusion that the approach may be beneficial for the occasional patient but is unlikely to have any impact on reducing the burden of cancer incidence and mortality as whole. Challenges include meeting a high uptake of the test in the population, developing an effective and acceptable intervention and the willingness of healthy women to follow health care provider recommendations. The review focuses on strategies to reduce mortality from breast and ovarian cancer but is potentially applicable to other cancer sites, such as colon, prostate, and endometrial.

Indexed as

Polymorphism, Single NucleotideBreast NeoplasmsFemaleGenetic TestingHumansOvarian NeoplasmsPrecision MedicineCancer preventionCancer screeningPersonalised medicinePersonal risk scoresPrecision medicine

Identifiers

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.