Evidence map›Paper›PMID 31887214›Full record

Observational studyPloS one2019

Indicators to distinguish symptom accentuators from symptom producers in individuals with a diagnosed adjustment disorder: A pilot study on inconsistency subtypes using SIMS and MMPI-2-RF.

Cristina Mazza, Graziella Orrù, Franco Burla, Merylin Monaro, Stefano Ferracuti, Marco Colasanti, Paolo Roma

Open access · goldAbstract readObservational StudyValidation Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

10 citing papers in PubMed, 28 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Cristina MazzaDepartment of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.
Graziella OrrùDepartment of Surgical, Medical, Molecular & Critical Area Pathology, University of Pisa, Pisa, Italy.
Franco BurlaDepartment of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.
Merylin MonaroDepartment of General Psychology, University of Padova, Padova, Italy.
Stefano FerracutiDepartment of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.
Marco ColasantiDepartment of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.
Paolo RomaDepartment of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-1031-0948
Sapienza University of Rome · ITUniversity of Padua · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of legal damage evaluations, evaluees may exaggerate or simulate symptoms in an attempt to obtain greater economic compensation. To date, practitioners and researchers have focused on detecting malingering behavior as an exclusively unitary construct. However, we argue that there are two types of inconsistent behavior that speak to possible malingering-accentuating (i.e., exaggerating symptoms that are actually experienced) and simulating (i.e., fabricating symptoms entirely)-each with its own unique attributes; thus, it is necessary to distinguish between them. The aim of the present study was to identify objective indicators to differentiate symptom accentuators from symptom producers and consistent participants. We analyzed the Structured Inventory of Malingered Symptomatology scales and the Minnesota Multiphasic Personality Inventory-2 Restructured Form validity scales of 132 individuals with a diagnosed adjustment disorder with mixed anxiety and depressed mood who had undergone assessment for psychiatric/psychological damage. The results indicated that the SIMS Total Score, Neurologic Impairment and Low Intelligence scales and the MMPI-2-RF Infrequent Responses (F-r) and Response Bias (RBS) scales successfully discriminated among symptom accentuators, symptom producers, and consistent participants. Machine learning analysis was used to identify the most efficient parameter for classifying these three groups, recognizing the SIMS Total Score as the best indicator.

Indexed as

Personality InventoryAdjustment DisordersAdultAnxietyDepressionDiagnosis, DifferentialFemaleHumansItalyMaleMalingeringMiddle AgedMultivariate AnalysisPilot ProjectsReproducibility of Results

Identifiers

PMID31887214
PMCPMC6936836
OpenAlexW2997711228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.