Evidence map›Paper›PMID 29580572›Full record

ArticleBiological psychiatry2018

Reply to: Sample Size, Model Robustness, and Classification Accuracy in Diagnostic Multivariate Neuroimaging Analyses.

Joseph Kambeitz, Carlos Cabral, Matthew D Sacchet, Ian H Gotlib, Roland Zahn, Mauricio H Serpa, Martin Walter, Peter Falkai, Nikolaos Koutsouleris

Abstract readLetterComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Biological psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Joseph KambeitzDepartment of Psychiatry, Ludwig-Maximilians University Munich, Munich, Germany. Electronic address: joseph.kambeitz@med.uni-muenchen.de.
Carlos CabralDepartment of Psychiatry, Ludwig-Maximilians University Munich, Munich, Germany.
Matthew D SacchetDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Ian H GotlibNeurosciences Program and Department of Psychology, Stanford University, Stanford, California.
Roland ZahnInstitute of Psychiatry, King's College London, London, United Kingdom.
Mauricio H SerpaLaboratory of Psychiatric Neuroimaging Institute, University of São Paulo, São Paulo, Brazil; Department of Psychiatry, University of São Paulo, São Paulo, Brazil; Center for Interdisciplinary Research on Applied Neurosciences, University of São Paulo, São Paulo, Brazil.
Martin WalterClinical Affective Neuroimaging Laboratory, Department of Behavioural Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany; Department of Psychiatry and Psychotherapy, Eberhard Karls University, Tuebingen, Germany.
Peter FalkaiDepartment of Psychiatry, Ludwig-Maximilians University Munich, Munich, Germany.
Nikolaos KoutsoulerisDepartment of Psychiatry, Ludwig-Maximilians University Munich, Munich, Germany.

Funding

Psychobiological Mechanisms Underlying the Association Between Early Life Stress and Depression Across AdolescenceR37MH101495 · NIMH · STANFORD UNIVERSITY · PI IAN H GOTLIB · 2018 to 2026
$6.6M
Neural and Behavioral Aspects of Information-Processing Biases in DepressionR01MH059259 · NIMH · STANFORD UNIVERSITY · PI GOTLIB, IAN H · 1999 to 2011
$5.9M
The Effects of Early Life Stress on Neurodevelopment in Children and AdolescentsR01MH101495 · NIMH · STANFORD UNIVERSITY · PI GOTLIB, IAN H · 2013 to 2016
$2.9M
Medical Research Council G0902304NIMH NIH HHS R01 MH059259NIMH NIH HHS R01 MH101495NIMH NIH HHS R37 MH101495
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DepressionNeuroimagingBiomarkersMultivariate AnalysisSample SizeBiomarkers

Identifiers

PMID29580572
PMCPMC11886964

What Socratic 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 Socratic graph.