Evidence map›Paper›PMID 33497789›Full record

ReviewNeuroscience and biobehavioral reviews2021

Back to Basics: The Importance of Measurement Properties in Biological Psychiatry.

Daniel P Moriarity, Lauren B Alloy

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Subgenual Anterior Cingulate Cortex Reactivity to Rejection Vs. Acceptance Predicts Depressive Symptoms among Adolescents with an Anxiety History.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53 · 2023
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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.

Daniel P MoriarityTemple University, United States. Electronic address: Daniel.moriarity@temple.edu.
Lauren B AlloyTemple University, United States.

Funding

Risk for Bipolar Disorder: Reward-related Brain Function & Social RhythmsR01MH077908 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ALLOY, LAUREN BERSH · 2007 to 2017
$5.7M
Integrated Reward-Inflammation Model Of First Onset Of Major Depression In Adolescence SupplementR01MH123473 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ALLOY, LAUREN BERSH, NUSSLOCK, ROBIN · 2021 to 2025
$3.8M
Risk for Adolescent Depression: Stress, Cognitive Vulnerability, & InflammationR01MH101168 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ALLOY, LAUREN BERSH · 2013 to 2017
$3.2M
Integrated Reward Sensitivity and Rumination Model of Stress Reactivity and Depression SymptomsF31MH122116 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI MORIARITY, DANIEL P · 2020 to 2021
$58k
NIMH NIH HHS F31 MH122116NIMH NIH HHS R01 MH077908NIMH NIH HHS R01 MH101168NIMH NIH HHS R01 MH123473
6 · The paper itself

Abstract

Biological psychiatry is a major funding priority for organizations that fund mental health research (e.g., National Institutes of Health). Despite this, some have argued that the field has fallen short of its considerable promise to meaningfully impact the classification, diagnosis, and treatment of psychopathology. This may be attributable in part to a paucity of research about key measurement properties ("physiometrics") of biological variables as they are commonly used in biological psychiatry research. Specifically, study designs informed by physiometrics are more likely to be replicable, avoid poor measurement that results in misestimation, and maximize efficiency in terms of time, money, and the number of analyses conducted. This review describes five key physiometric principles (internal consistency, dimensionality, method-specific variance, temporal stability, and temporal specificity), illustrates how lack of understanding about these characteristics imposes meaningful limitations on research, and reviews examples of physiometric studies featuring a variety of popular biological variables to illustrate how this research can be done and substantive conclusions drawn about the variables of interest.

Indexed as

Biological PsychiatryHumansResearch DesignBiological psychiatrydimensionalityinternal consistencymeasurementmethodsreliability

Identifiers

PMID33497789
PMCPMC7933060

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.