Evidence map›Paper›PMID 26340119›Full record

ReviewNature medicine2015

Modeling psychiatric disorders for developing effective treatments.

Tobias Kaiser, Guoping Feng

Abstract readReview
In one paragraph

Review in Nature medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

  1. Review
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  6. Advancements in Immunity and Dementia Research: Highlights from the 2023 AAIC Advancements: Immunity Conference.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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  15. Review
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32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Tobias KaiserMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Guoping FengMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Funding

Shank3 in Synaptic Function and AutismR01MH097104 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FENG, GUOPING · 2012 to 2016
$2.0M
NIMH NIH HHS 5R01MH097104NIMH NIH HHS R01 MH097104
6 · The paper itself

Abstract

Recent advances in identifying risk-associated genes have provided unprecedented opportunities for developing animal models for psychiatric disease research with the goal of attaining translational utility to ultimately develop novel treatments. However, at this early stage, successful translation has yet to be achieved. Here we review recent advances in modeling psychiatric disease, discuss the utility and limitations of animal models, and emphasize the importance of shifting from behavioral analysis to identifying neurophysiological abnormalities, which are likely to be more conserved across species and thus may increase translatability. Looking forward, we envision that preclinical research will align with clinical research to build a common framework of comparable neurobiological abnormalities and to help form subgroups of patients on the basis of similar pathophysiology. Experimental neuroscience can then use animal models to discover mechanisms underlying distinct abnormalities and develop strategies for effective treatments.

Indexed as

Disease Models, AnimalAnimalsAutism Spectrum DisorderGenome-Wide Association StudyHumansInduced Pluripotent Stem CellsMental Disorders

Identifiers

PMID26340119
PMCPMC4886231

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.