Evidence map›Paper›PMID 29594033›Full record

ReviewTranslational andrology and urology2018

The future of prostate cancer research: bringing data together, looking back and forward.

Chris Bangma, Henk Obbink

Open access · hybridAbstract readReview
In one paragraph

Review in Translational andrology and urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Chris BangmaDepartment of Urology, Erasmus University Medical Centre, Rotterdam, The Netherlands.
Henk ObbinkDepartment of Urology, Erasmus University Medical Centre, Rotterdam, The Netherlands.
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of digital data in large data sets will be of pivotal importance to unravel the biological basis of prostate cancer, and to improve on prevention and treatment. For the screening of asymptomatic tumors, their identification, and their treatment with better and targeted therapies, the integration of information from imaging, genomics, and biomarkers is needed. To bring these (un)structured data together, block chain technology is required, while knowledgeable analysts should be available. Therefore, it is of utmost importance to 'team up' and provide a common strategy for innovation. Its implementation needs the involvement of all stakeholders (patients, industries, professionals, scientists, governments). This article provides thoughts on how initial steps in urology have been taken, and how to proceed.

Indexed as

digital dataprecision healthprocessingProstate cancerresearch

Identifiers

PMID29594033
PMCPMC5861293
OpenAlexW2783354149

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.