Evidence map›Paper›PMID 28668333›Full record

ReviewBiochimica et biophysica acta. Molecular basis of disease2017

Modeling schizophrenia pathogenesis using patient-derived induced pluripotent stem cells (iPSCs).

Haneul Noh, Zhicheng Shao, Joseph T Coyle, Sangmi Chung

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Molecular basis of disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Cellular Models in Schizophrenia Research.International journal of molecular sciences · 2021
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

4 authors at 1 institution in 1 country.

Haneul NohTranslational Stem Cell Neurobiology Lab, McLean Hospital/Harvard Medical School, Belmont, MA 02478, United States.
Zhicheng ShaoTranslational Stem Cell Neurobiology Lab, McLean Hospital/Harvard Medical School, Belmont, MA 02478, United States.
Joseph T CoyleLaboratory for Psychiatric and Molecular Neuroscience, McLean Hospital/Harvard Medical School, Belmont, MA 02478, United States.
Sangmi ChungTranslational Stem Cell Neurobiology Lab, McLean Hospital/Harvard Medical School, Belmont, MA 02478, United States. Electronic address: schung8@nymc.edu.
McLean Hospital · US

Funding

PSYCHOSIS AND BRAIN GLUTAMATER01MH051290 · NIMH · MC LEAN HOSPITAL (BELMONT, MA) · PI COYLE, JOSEPH T. · 1994 to 2017
$5.0M
iPSC derived human cortical interneurons as developmental model of SchizophreniaR01MH107884 · NIMH · NEW YORK MEDICAL COLLEGE · PI CHUNG, SANGMI · 2015 to 2019
$2.2M
NIMH NIH HHS R01 MH051290NIMH NIH HHS R01 MH107884
6 · The paper itself

Abstract

Schizophrenia is a chronic disabling mental disorder that affects about 1% population world-wide, for which there is a desperate need to develop more effective treatments. In this minireview, we summarize the findings from recent studies using induced pluripotent stem cells to model the developmental pathogenesis of schizophrenia and discuss what we have learned from these studies. We also discuss what are the important next steps and key issues to be addressed to move the field forward.

Indexed as

Models, BiologicalAnimalsHumansInduced Pluripotent Stem CellsSchizophreniaDifferentiationiPSCNeural progenitor cellSchizophrenia

Identifiers

PMID28668333
PMCPMC5737829
OpenAlexW2728295543

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.