Evidence map›Paper›PMID 29371263›Full record

Observational studyBMJ open2018

Tulsa 1000: a naturalistic study protocol for multilevel assessment and outcome prediction in a large psychiatric sample.

Teresa A Victor, Sahib S Khalsa, W Kyle Simmons, Justin S Feinstein, Jonathan Savitz, Robin L Aupperle, Hung-Wen Yeh, Jerzy Bodurka, Martin P Paulus

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02450240 (T-1000), which is not on this map. Cited by 98 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 3 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.

NCT02450240 completednot on this map

T-1000: Latent Structure of Multi-level Assessments and Predictors of Outcomes in Psychiatric Disorders

TypeobservationalSponsorLaureate Institute for Brain Research, Inc.Ran2015 to 2020Enrolled1,271ConditionsDepression, Anxiety, Eating Disorders, Drug Use DisordersArmsstandardized diagnostic assessment, self-report questionnaires, behavioral tasks, physiological measurements, structural and functional magnetic resonance imaging and EEG
3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Sensorimotor Feedback Control Dysfunction as a Marker of Posttraumatic Stress Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  18. Article
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

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

9 authors.

Teresa A VictorLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Sahib S KhalsaLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
W Kyle SimmonsLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Justin S FeinsteinLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Jonathan SavitzLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Robin L AupperleLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Hung-Wen YehLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Jerzy BodurkaLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Martin P PaulusLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.

Funding

Approach-Avoidance Conflict-a multi-level predictor for exposure therapy responseK23MH108707 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI AUPPERLE, ROBIN L · 2016 to 2020
$976k
NIMH NIH HHS K23 MH108707
6 · The paper itself

Abstract

introductionAlthough neuroscience has made tremendous progress towards understanding the basic neural circuitry underlying important processes such as attention, memory and emotion, little progress has been made in applying these insights to psychiatric populations to make clinically meaningful treatment predictions. The overall aim of the Tulsa 1000 (T-1000) study is to use the NIMH Research Domain Criteria framework in order to establish a robust and reliable dimensional set of variables that quantifies the positive and negative valence, cognition and arousal domains, including interoception, to generate clinically useful treatment predictions. METHODS AND ANALYSIS: The T-1000 is a naturalistic study that will recruit, assess and longitudinally follow 1000 participants, including healthy controls and treatment-seeking individuals with mood, anxiety, substance use and eating disorders. Each participant will undergo interview, behavioural, biomarker and neuroimaging assessments over the course of 1 year. The study goal is to determine how disorders of affect, substance use and eating behaviour organise across different levels of analysis (molecules, genes, cells, neural circuits, physiology, behaviour and self-report) to predict symptom severity, treatment outcome and long-term prognosis. The data will be used to generate computational models based on Bayesian statistics. The final end point of this multilevel latent variable analysis will be standardised assessments that can be developed into clinical tools to help clinicians predict outcomes and select the best intervention for each individual, thereby reducing the burden of mental disorders, and taking psychiatry a step closer towards personalised medicine. ETHICS AND DISSEMINATION: Ethical approval was obtained from Western Institutional Review Board screening protocol #20101611. The dissemination plan includes informing health professionals of results for clinical practice, submitting results to journals for peer-reviewed publication, presenting results at national and international conferences and making the dataset available to researchers and mental health professionals. TRIAL REGISTRATION NUMBER: NCT02450240; Pre-results.

Indexed as

MicrobiotaResearch DesignBayes TheoremBiomarkersCase-Control StudiesCognitionHumansLongitudinal StudiesMental DisordersMultilevel AnalysisOklahomaPrognosisPsychiatric Status Rating ScalesSampling StudiesSelf ReportTreatment OutcomeBiomarkersadult psychiatryanxiety disorderseating disordersmagnetic resonance imagingmental health

Identifiers

PMID29371263
PMCPMC5786129

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.