Evidence map›Paper›PMID 28749581›Full record

Trial reportClinical and translational science2017

Prediction of Transporter-Mediated Drug-Drug Interactions for Baricitinib.

Maria M Posada, Ellen A Cannady, Christopher D Payne, Xin Zhang, James A Bacon, Y Anne Pak, J William Higgins, Nazila Shahri, Stephen D Hall, Kathleen M Hillgren

Abstract readClinical Trial
In one paragraph

Trial report in Clinical and translational science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Drug Interactions for Patients with Respiratory Diseases Receiving COVID-19 Emerged Treatments.International journal of environmental research and public health · 2021
    Review
  13. Article
  14. Review
  15. Disease-drug and drug-drug interaction in COVID-19: Risk and assessment.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Maria M PosadaEli Lilly and Company, Indianapolis, Indiana, USA.
Ellen A CannadyEli Lilly and Company, Indianapolis, Indiana, USA.
Christopher D PayneEli Lilly and Company, Indianapolis, Indiana, USA.
Xin ZhangEli Lilly and Company, Indianapolis, Indiana, USA.
James A BaconEli Lilly and Company, Indianapolis, Indiana, USA.
Y Anne PakEli Lilly and Company, Indianapolis, Indiana, USA.
J William HigginsEli Lilly and Company, Indianapolis, Indiana, USA.
Nazila ShahriinVentiv Health Clinical, La Jolla, California, USA.
Stephen D HallEli Lilly and Company, Indianapolis, Indiana, USA.
Kathleen M HillgrenEli Lilly and Company, Indianapolis, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Baricitinib, an oral selective Janus kinase 1 and 2 inhibitor, undergoes active renal tubular secretion. Baricitinib was not predicted to inhibit hepatic and renal uptake and efflux drug transporters, based on the ratio of the unbound maximum eliminating-organ inlet concentration and the in vitro half-maximal inhibitory concentrations (IC

Indexed as

AdultArea Under CurveAzetidinesDrug InteractionsHEK293 CellsHumansMaleMembrane Transport ProteinsMiddle AgedPurinesPyrazolesSulfonamidesTime FactorsYoung AdultAzetidinesbaricitinibMembrane Transport ProteinsPurinesPyrazolesSulfonamides

Identifiers

PMID28749581
PMCPMC6402191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.