Evidence map›Paper›PMID 31580887›Full record

ArticleRegulatory toxicology and pharmacology : RTP2019

Preclinical toxicity evaluation of JD5037, a peripherally restricted CB

Vijay Pralhad Kale, Seth Gibbs, John A Taylor, Amy Zmarowski, Joseph Novak, Kristin Patton, Barney Sparrow, Jenni Gorospe, Satheesh Anand, Resat Cinar and 3 more

Abstract read
In one paragraph

Article in Regulatory toxicology and pharmacology : RTP, 2019. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 360-Degree Perspectives on Obesity.Medicina (Kaunas, Lithuania) · 2023
    Review
  5. Article
  6. Effects of the peripheral CBFrontiers in pharmacology · 2022
    Article
  7. Article
  8. The Peripheral Cannabinoid Receptor Type 1 (CBMolecules (Basel, Switzerland) · 2021
    Review
  9. Review
  10. Review
  11. Review
  12. A Guide to Targeting the Endocannabinoid System in Drug Design.International journal of molecular sciences · 2020
    Review
  13. 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

13 authors.

Vijay Pralhad KaleBattelle, Columbus, OH, USA. Electronic address: kale@battelle.org.
Seth GibbsBattelle, Columbus, OH, USA.
John A TaylorBattelle, Columbus, OH, USA.
Amy ZmarowskiBattelle, Columbus, OH, USA.
Joseph NovakBattelle, Columbus, OH, USA.
Kristin PattonBattelle, Columbus, OH, USA.
Barney SparrowBattelle, Columbus, OH, USA.
Jenni GorospeBattelle, Columbus, OH, USA.
Satheesh AnandBattelle, Columbus, OH, USA.
Resat CinarNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA.
George KunosNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA.
Robert J ChorvatJenrin Discovery, LLC, Wilmington, DE, USA.
Pramod S TerseNational Center for Advancing Translational Sciences, National Institute of Health, Bethesda, MD, USA. Electronic address: tersep@mail.nih.gov.

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

JD5037 is a novel peripherally restricted CB

Indexed as

AnimalsArea Under CurveBehavior, AnimalDisease Models, AnimalDogsDose-Response Relationship, DrugDrug Evaluation, PreclinicalDrugs, InvestigationalFemaleHumansInvestigational New Drug ApplicationMaleNon-alcoholic Fatty Liver DiseaseNo-Observed-Adverse-Effect LevelPyrazolesRatsDrugs, InvestigationalJD5037PyrazolesReceptor, Cannabinoid, CB1SulfonamidesInverse agonistJD5037Nonalcoholic steatohepatitis (NASH)ObesityPeripheral cannabinoid receptor 1 (CB(1)R)Preclinical safetyToxicity

Identifiers

PMID31580887
PMCPMC7017916

What OpenQuestion holds

Textmetadata
LicenceTDM
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.