Evidence map›Paper›PMID 31260040›Full record

ArticleDatabase : the journal of biological databases and curation2019

PTSD Biomarker Database: deep dive metadatabase for PTSD biomarkers, visualizations and analysis tools.

Daniel Domingo-Fernández, Allison Provost, Alpha Tom Kodamullil, Josep Marín-Llaó, Heather Lasseter, Kristophe Diaz, Nikolaos P Daskalakis, Lee Lancashire, Martin Hofmann-Apitius, Magali Haas

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

10 authors.

Daniel Domingo-FernándezDepartment of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin 53754, Germany.
Allison ProvostCohen Veterans Bioscience, 1 Broadway, Cambridge, MA 02142, United States.
Alpha Tom KodamullilDepartment of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin 53754, Germany.
Josep Marín-LlaóDepartment of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin 53754, Germany.
Heather LasseterCohen Veterans Bioscience, 1 Broadway, Cambridge, MA 02142, United States.
Kristophe DiazCohen Veterans Bioscience, 1 Broadway, Cambridge, MA 02142, United States.
Nikolaos P DaskalakisCohen Veterans Bioscience, 1 Broadway, Cambridge, MA 02142, United States.
Lee LancashireCohen Veterans Bioscience, 1 Broadway, Cambridge, MA 02142, United States.
Martin Hofmann-ApitiusDepartment of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin 53754, Germany.
Magali HaasCohen Veterans Bioscience, 1 Broadway, Cambridge, MA 02142, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The PTSD Biomarker Database (PTSDDB) is a database that provides a landscape view of physiological markers being studied as putative biomarkers in the current post-traumatic stress disorder (PTSD) literature to enable researchers to explore and compare findings quickly. The PTSDDB currently contains over 900 biomarkers and their relevant information from 109 original articles published from 1997 to 2017. Further, the curated content stored in this database is complemented by a web application consisting of multiple interactive visualizations that enable the investigation of biomarker knowledge in PTSD (e.g. clinical study metadata, biomarker findings, experimental methods, etc.) by compiling results from biomarker studies to visualize the level of evidence for single biomarkers and across functional categories. This resource is the first attempt, to the best of our knowledge, to capture and organize biomarker and metadata in the area of PTSD for storage in a comprehensive database that may, in turn, facilitate future analysis and research in the field.

Indexed as

Databases, FactualMetadataStress Disorders, Post-TraumaticBiomarkersHumansBiomarkers

Identifiers

PMID31260040
PMCPMC6601392

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.