Evidence map›Paper›PMID 29978191›Full record

ArticleJAMA oncology2018

Implementation Challenges for Risk-Stratified Screening in the Era of Precision Medicine.

Megan C Roberts

Erratum issuedAbstract readEditorialComment
PubMed Publisher
In one paragraph

Article in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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.

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

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

  1. Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Pooled it
  2. Article
  3. Article
  4. A New Breast Density Assessment Method Using Portable Document Format.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  5. Article
  6. Article
  7. Development of a Breast Cancer Risk Prediction Model Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Korean Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  8. Review
  9. Article
  10. Ethical challenges in gestational diabetes.Journal of medical ethics and history of medicine · 2023
    Article
  11. Ethical considerations in sarcopenia research.Journal of medical ethics and history of medicine · 2023
    Article
  12. A community jury study exploring the public acceptability of using risk stratification to determine eligibility for cancer screening.Health expectations : an international journal of public participation in health care and health policy · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Acceptability and potential impact on uptake of using different risk stratification approaches to determine eligibility for screening: A population-based survey.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Megan C RobertsDivision of Cancer Control and Population Sciences, The National Cancer Institute, Rockville, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Breast NeoplasmsPrecision MedicineCost-Benefit AnalysisEarly Detection of CancerHumansMass Screening

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.