Evidence map›Paper›PMID 31092479›Full record

ArticleDiabetes2019

The Integrated Islet Distribution Program Answers the Call for Improved Human Islet Phenotyping and Reporting of Human Islet Characteristics in Research Articles.

Marcela Brissova, Joyce C Niland, James Cravens, Barbara Olack, Janice Sowinski, Carmella Evans-Molina

Abstract readLetter
In one paragraph

Article in Diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

6 authors.

Marcela BrissovaDivision of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Joyce C NilandDepartment of Diabetes & Cancer Discovery Science, Diabetes & Metabolism Research Institute at City of Hope, Duarte, CA jniland@coh.org cevansmo@iu.edu.
James CravensDepartment of Diabetes & Cancer Discovery Science, Diabetes & Metabolism Research Institute at City of Hope, Duarte, CA.
Barbara OlackDepartment of Diabetes & Cancer Discovery Science, Diabetes & Metabolism Research Institute at City of Hope, Duarte, CA.
Janice SowinskiDepartment of Diabetes & Cancer Discovery Science, Diabetes & Metabolism Research Institute at City of Hope, Duarte, CA.
Carmella Evans-MolinaDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN jniland@coh.org cevansmo@iu.edu.ORCID 0000-0001-7764-8663

Funding

Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALVIN C POWERS · 2012 to 2026
$29.3M
The Human Islet Distribution Coordinating Center (UC4)UC4DK098085 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI EVANS-MOLINA, CARMELLA, NILAND, JOYCE CAROL · 2012 to 2017
$25.6M
Mechanisms of Beta Cell Function in Health and DiseaseR01DK093954 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA · 2011 to 2019
$3.5M
Regulation of Calcium Homeostasis in the Pancreatic Beta CellI01BX001733 · VA · RLR VA MEDICAL CENTER · PI Carmella Evans-Molina · 2013 to 2026
–
BLRD VA I01 BX001733NIDDK NIH HHS P30 DK020593NIDDK NIH HHS R01 DK093954NIDDK NIH HHS UC4 DK098085
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Fluorescent Antibody TechniqueHumansIslets of LangerhansModels, TheoreticalPhenotype

Identifiers

PMID31092479
PMCPMC6609985

What OpenQuestion holds

Textmetadata
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.