Evidence map›Paper›PMID 38317628›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2024

Choosing Wisely: Applying Value-Based Economic Principles to Population Science Research Investment.

Kevin D Frick, Kathy J Helzlsouer

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kevin D FrickCarey Business School, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-0178-5319
Kathy J HelzlsouerEpidemiology and Genomics Research Program, Division of Cancer Control and Populations Sciences, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0003-4477-4326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific research requires a substantial investment of time, effort, and money by researchers and funders. The funding that would be needed for all meritorious proposals far exceeds available resources. Major funding organizations use a multistep process for allocating research dollars that follows and extends beyond scientific peer review with considerations including mission priority, budget, and potential duplication of past or ongoing research activities. At the level of programmatic review, the process tends to be less proscribed than scientific review, but considerations relate to and are akin to basic value-driven economic principles. We propose a framework that encompasses the elements of programmatic review and provide examples of how the economic principles of opportunity costs, diminishing marginal productivity, sunk costs, economic optimization, return on investment, and option value apply to both research planning and funding decisions. Examples use cancer control population science research, as the nature of observational and interventional research involves large population studies (large sample size, recruitment, and often long-duration follow-up costs) which demand a high level of resource utilization; the same principles can be applied throughout medical and population health research. Awareness of the aspects of programmatic review and context to focus discussion regarding funding decisions may help guide research planning, decision-making, and increase transparency of the overall review process.

Indexed as

Biomedical ResearchResearch DesignHumans

Identifiers

PMID38317628
PMCPMC10844846

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.