Evidence map›Paper›PMID 28577585›Full record

ArticleBehavior therapy2017

Advancing Personalized Medicine: Application of a Novel Statistical Method to Identify Treatment Moderators in the Coordinated Anxiety Learning and Management Study.

Andrea N Niles, Amanda G Loerinc, Jennifer L Krull, Peter Roy-Byrne, Greer Sullivan, Cathy D Sherbourne, Alexander Bystritsky, Michelle G Craske

Abstract read
In one paragraph

Article in Behavior therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Andrea N NilesUniversity of California, Los Angeles. Electronic address: aniles@ucla.edu.
Amanda G LoerincUniversity of California, Los Angeles.
Jennifer L KrullUniversity of California, Los Angeles.
Peter Roy-ByrneUniversity of Washington at Harborview Medical Center, Center for Healthcare.
Greer SullivanUniversity of Arkansas for Medical Sciences.
Cathy D SherbourneRAND Corporation, Santa Monica, CA.
Alexander BystritskyUniversity of California, Los Angeles.
Michelle G CraskeUniversity of California, Los Angeles.

Funding

CALM: IMPROVING PRIMARY CARE ANXIETY OUTCOMESU01MH070018 · NIMH · RAND CORPORATION · PI SHERBOURNE, CATHY D · 2005 to 2009
$3.1M
CALM: Improving Primary Care Anxiety OutcomesU01MH058915 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CRASKE, MICHELLE G · 2005 to 2009
$3.0M
CALM: Improving Primary Care OutcomesU01MH057858 · NIMH · UNIVERSITY OF WASHINGTON · PI ROY-BYRNE, PETER PAUL · 2005 to 2009
$2.4M
CALM: Improving Primary Care Anxiety OutcomesU01MH070022 · NIMH · UNIV OF ARKANSAS FOR MED SCIS · PI SULLIVAN, JAN GREER · 2005 to 2009
$2.3M
IMPROVING CARE OF PANIC DISORDER IN PRIMARY CARER01MH058915 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CRASKE, MICHELLE G · 1999 to 2002
$1.8M
IMPROVING CARE FOR PANIC DISORDER IN PRIMARY CARER01MH057858 · NIMH · UNIVERSITY OF WASHINGTON · PI ROY-BYRNE, PETER P · 1999 to 2002
$950k
Treating Anxiety in Public Sector Medical SettingsK24MH065324 · NIMH · UNIVERSITY OF WASHINGTON · PI ROY-BYRNE, PETER PAUL · 2003 to 2007
$661k
NIMH NIH HHS K24 MH065324NIMH NIH HHS R01 MH057858NIMH NIH HHS R01 MH058915NIMH NIH HHS U01 MH057858NIMH NIH HHS U01 MH058915NIMH NIH HHS U01 MH070018NIMH NIH HHS U01 MH070022
6 · The paper itself

Abstract

There has been increasing recognition of the value of personalized medicine where the most effective treatment is selected based on individual characteristics. This study used a new method to identify a composite moderator of response to evidence-based anxiety treatment (CALM) compared to Usual Care. Eight hundred seventy-six patients diagnosed with one or multiple anxiety disorders were assigned to CALM or Usual Care. Using the method proposed by Kraemer (2013), 35 possible moderators were examined for individual effect sizes then entered into a forward-stepwise regression model predicting differential treatment response. K-fold cross validation was used to identify the number of variables to include in the final moderator. Ten variables were selected for a final composite moderator. The composite moderator effect size (r = .20) was twice as large as the strongest individual moderator effect size (r = .10). Although on average patients benefitted more from CALM, 19% of patients had equal or greater treatment response in Usual Care. The effect size for the CALM intervention increased from d = .34 to d = .54 when accounting for the moderator. Findings support the utility of composite moderators. Results were used to develop a program that allows mental health professionals to prescribe treatment for anxiety based on baseline characteristics (http://anxiety.psych.ucla.edu/treatmatch.html).

Indexed as

Models, StatisticalPatient SelectionAdultAnxiety DisordersFemaleHumansMalePrecision MedicineRegression Analysisanxiety disordersCBTmodel selectionmoderatorspersonalized medicineprecision medicineprimary care

Identifiers

PMID28577585
PMCPMC5458622

What OpenQuestion holds

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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.