Evidence map›Paper›PMID 28848388›Full record

ArticleFrontiers in molecular neuroscience2017

Integrated Computational Analysis of Genes Associated with Human Hereditary Insensitivity to Pain. A Drug Repurposing Perspective.

Jörn Lötsch, Catharina Lippmann, Dario Kringel, Alfred Ultsch

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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 3 institutions in 1 country.

Jörn LötschInstitute of Clinical Pharmacology, Goethe-UniversityFrankfurt am Main, Germany.
Catharina LippmannFraunhofer Institute of Molecular Biology and Applied Ecology-Project Group, Translational Medicine and Pharmacology (IME-TMP)Frankfurt am Main, Germany.
Dario KringelInstitute of Clinical Pharmacology, Goethe-UniversityFrankfurt am Main, Germany.
Alfred UltschDataBionics Research Group, University of MarburgMarburg, Germany.
Goethe University Frankfurt · DEInstitute of Molecular Biology · DEPhilipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes causally involved in human insensitivity to pain provide a unique molecular source of studying the pathophysiology of pain and the development of novel analgesic drugs. The increasing availability of "big data" enables novel research approaches to chronic pain while also requiring novel techniques for data mining and knowledge discovery. We used machine learning to combine the knowledge about

Indexed as

big datacomputational biologydata sciencegenetic variationhumansmachine learningpainperception

Identifiers

PMID28848388
PMCPMC5550731
OpenAlexW2743627928

What OpenQuestion holds

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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.