Evidence map›Paper›PMID 29270332›Full record

ArticleCurrent pathobiology reports2017

Alagille syndrome: Genetics and Functional Models.

Melissa A Gilbert, Nancy B Spinner

Abstract read
In one paragraph

Article in Current pathobiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Antisense oligonucleotide-mediated upregulation ofMolecular therapy. Nucleic acids · 2025
    Article
  3. Next-Generation Hydrogels for Biliary Organoid Engineering.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Alagille Syndrome: A Novel Mutation inFrontiers in pediatrics · 2019
    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

2 authors.

Melissa A GilbertDepartment of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Nancy B SpinnerDepartment of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

Funding

Genetic Modifiers of Liver Disease Severity in Alagille SyndromeR01DK081702 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI SPINNER, NANCY BETTINA · 2009 to 2013
$3.5M
NIDDK NIH HHS R01 DK081702
6 · The paper itself

Abstract

purpose of reviewWe review the genetics of the autosomal dominant, multi-system disorder, Alagille syndrome and provide a summary on how current functional models and emerging biotechnologies are equipped to guide scientists towards novel therapies. The importance of haploinsufficiency as a disease mechanism will be underscored throughout this discussion. RECENT

findingsAlagille syndrome, a human disorder affecting the liver, heart, vasculature, kidney, and other systems, is caused by mutations in the Notch signaling pathway ligand, Jagged1 ( SUMMARY: We anticipate that the availability of innovative functional models will allow scientists to test new gene therapies or small molecule treatments in physiologically-relevant systems. With these advances, we look forward to the development of new methods to help Alagille syndrome patients.

Indexed as

Alagille syndromegene therapyhaploinsufficiencyJagged1liver diseaseNotch2

Identifiers

PMID29270332
PMCPMC5736143

What OpenQuestion holds

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Registered trials

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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.