Evidence map›Paper›PMID 34950251›Full record

ArticleThe EPMA journal2021

How biomarker patterns can be utilized to identify individuals with a high disease burden: a bioinformatics approach towards predictive, preventive, and personalized (3P) medicine.

Nina Bertele, Alexander Karabatsiakis, Claudia Buss, Anat Talmon

Open access · hybridAbstract read
In one paragraph

Article in The EPMA journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors at 4 institutions in 3 countries.

Nina BertelePsychology Department, Stanford University, Stanford, CA USA.ORCID 0000-0002-5754-2172
Alexander KarabatsiakisInstitute of Psychology, Department of Clinical Psychology-II, University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-5822-0108
Claudia BussInstitute of Medical Psychology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-8738-3133
Anat TalmonPsychology Department, Stanford University, Stanford, CA USA.ORCID 0000-0001-6504-2162
Humboldt-Universität zu Berlin · DEStanford University · USUniversität Innsbruck · ATUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prevalences of non-communicable diseases such as depression and a range of somatic diseases are continuously increasing requiring simple and inexpensive ways to identify high-risk individuals to target with predictive and preventive approaches. Using SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13167-021-00255-0.

Indexed as

Biomarker patternsChildhood maltreatmentPatient stratificationPersonalized medicine (PPPM/3PM)Psychiatric disordersRisk assessment

Identifiers

PMID34950251
PMCPMC8648886
OpenAlexW3202688695

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.