Evidence map›Paper›PMID 25152658›Full record

ReviewDialogues in clinical neuroscience2014

Assessment of patient-reported symptoms of anxiety.

Matthias Rose, Janine Devine

Abstract readReview
In one paragraph

Review in Dialogues in clinical neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

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  17. Evaluating Drivers of the Patient Experience Triangle: Stress, Anxiety, and Frustration.International journal of environmental research and public health · 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.

Matthias RoseDepartment of Psychosomatic Medicine and Psychotherapy, Medical Clinic, Charité, Universitätsmedizin Berlin, Germany; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusets, USA.
Janine DevineDepartment of Psychosomatic Medicine and Psychotherapy, Medical Clinic, Charité, Universitätsmedizin Berlin, Germany.

Funding

Using a Computer Adaptive Test to Identify Depressive Disorders in Primary CareR01MH082953 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ROSE, MATTHIAS · 2009 to 2011
$877k
NIMH NIH HHS R01 MH082953NIMH NIH HHS R01MH082953
6 · The paper itself

Abstract

Patient self-reported symptoms are of crucial importance to identify anxiety disorders, as well as to monitor their treatment in clinical practice and research. Thus, for evidence-based medicine, a precise, reliable, and valid (ie, "objective") assessment of the patient's reported "subjective" symptoms is warranted. There is a plethora of instruments available, which can provide psychometrically sound assessments of anxiety, but there are several limitations of current tools that need to be carefully considered for their successful use. Nevertheless, the empirical assessment of mental health status is not as accepted in medicine as is the assessment of biomarkers. One reason for this may be that different instruments assessing the same psychological construct use different scales. In this paper we present some new developments that promise to provide one common metric for the assessment of anxiety, to facilitate the general acceptance of mental health assessments in the future.

Indexed as

Self ReportAnxietyElectronic Health RecordsHumansOutcome Assessment, Health CarePsychiatric Status Rating ScalesPsychometricsanxietycomputerized adaptive testitem response theorymeasurementpatient-reported outcomequestionnaire

Identifiers

PMID25152658
PMCPMC4140513

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.