Evidence map›Paper›PMID 25234430›Full record

ReviewAmerican journal of epidemiology2014

The next generation of large-scale epidemiologic research: implications for training cancer epidemiologists.

Margaret R Spitz, Tram Kim Lam, Sheri D Schully, Muin J Khoury

Abstract readReview
In one paragraph

Review in American journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Training the Twenty-First Century Cancer Epidemiologist.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019
    Article
  3. Training in the Conduct of Population-Based Multi-Site and Multi-Disciplinary Studies: the Cancer Research Network's Scholars Program.Journal of cancer education : the official journal of the American Association for Cancer Education · 2017
    Article
  4. Article
  5. Review
  6. Charting a future for epidemiologic training.Annals of epidemiology · 2015
    Article
  7. The authors reply.American journal of epidemiology · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Margaret R Spitz
Tram Kim Lam
Sheri D Schully
Muin J Khoury

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is expanding consensus on the need to modernize the training of cancer epidemiologists to accommodate rapidly emerging technological advancements and the digital age, which are transforming the practice of cancer epidemiology. There is also a growing imperative to extend cancer epidemiology research that is etiological to that which is applied and has the potential to affect individual and public health. Medical schools and schools of public health are recognizing the need to develop such integrated programs; however, we lack the data to estimate how many current training programs are effectively equipping epidemiology students with the knowledge and tools to design, conduct, and analyze these increasingly complex studies. There is also a need to develop new mentoring approaches to account for the transdisciplinary team-science environment that now prevails. With increased dialogue among schools of public health, medical schools, and cancer centers, revised competencies and training programs at predoctoral, doctoral, and postdoctoral levels must be developed. Continuous collection of data on the impact and outcomes of such programs is also recommended.

Indexed as

Professional CompetenceEpidemiologyHumansInterdisciplinary CommunicationNeoplasmsUnited Statescancer epidemiologistseducationlarge-scale epidemiologic research

Identifiers

PMID25234430
PMCPMC4224365

What Socratic 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 Socratic graph.