Evidence map›Paper›PMID 30023154›Full record

ArticleOsong public health and research perspectives2018

How Should Biobanks Collect Biosamples for Clinical Application? A 20-year Biomarker-related Publication and Patent Trend Analysis.

Jae-Eun Lee

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Jae-Eun LeeDivision of Biobank for Health Sciences, Center for Genome Science, Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was designed to analyze biomarker-related publications and patent trends which biobanks could consider in planning biosample collections for biomarker research.

methodsPublications and patents containing the term "biomarker" in the title published between 1998 to 2017 were retrieved using Scopus database and Google Patents search engine.

resultsOver the last 20 years there has been a steady increase in biomarker-related publications and patents; however this has slowed for patents over the last few years. Publications in 2017 that contained blood, serum, and plasma search terms in the abstract accounted for 50%, and serum as a search term in the title and abstract was more numerous than those containing blood, plasma, tissue, or urine. Blood-related patents were the most common patent in the last 10 years, and accounted for 110 patents in 2017. Biomarker-related publications since 2010 containing RNA and protein search terms in the title and abstract, were more numerous than those containing DNA and metabolite search terms. More than 27% of biomarker-related publications in 2017 and 21% of biomarker-related patents were associated with cancer.

conclusionThe results of this study will help biobanks establish a biosample collection strategy for clinical application.

Indexed as

biomarkerspatentpublicationtrends

Identifiers

PMID30023154
PMCPMC6037391

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.