Evidence map›Paper›PMID 35373960›Full record

ArticleResearch in psychotherapy (Milano)2022

Psychodiagnostic Chart-Child (PDC-C): a valid and clinically sensitive diagnostic tool for patient-tailored intervention planning.

Alexandro Fortunato, Annalisa Tanzilli, Vittorio Lingiardi, Anna Maria Speranza

Abstract read
In one paragraph

Article in Research in psychotherapy (Milano), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. The Psychodynamic Diagnostic Manual, 3rd edition (PDM-3).World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025
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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

4 authors.

Alexandro FortunatoDepartment of Dynamic and Clinical Psychology, and Health Studies, La Sapienza University of Rome. alexandro.fortunato@uniroma1.it.
Annalisa TanzilliDepartment of Dynamic and Clinical Psychology, and Health Studies, La Sapienza University of Rome. annalisa.tanzilli@uniroma1.it.
Vittorio LingiardiDepartment of Dynamic and Clinical Psychology, and Health Studies, La Sapienza University of Rome. vittorio.lingiardi@uniroma1.it.
Anna Maria SperanzaDepartment of Dynamic and Clinical Psychology, and Health Studies, La Sapienza University of Rome. annamaria.speranza@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reliable clinical-diagnostic evaluation of child patients is crucial. The present research sought to examine the validity of the Psychodiagnostic Chart-Child (PDC-C) in assessing children's mental functioning and personality organization, according to the framework of the Psychodynamic Diagnostic Manual, Second Edition (PDM-2). A sample of 209 clinicians assessed 209 children (aged 4-11 years) who had been in their care between 2-12 months, using the PDC-C. Each clinician also completed a clinical questionnaire to provide demographic information, the Child Behavior Checklist to evaluate children's behavioral problems and social competences, and the Childhood Personality Assessment Q-Sort measure to assess children's emerging personality patterns. The findings suggest that the PDC-C is a valid diagnostic tool that considers children's full range of functioning. Moreover, the measure has good sensitivity and appears clinically useful in differentiating between certain clinical populations according to psychological characteristics. The PDC-C could promote more accurate assessment during childhood and inform the development of individualized therapies. One of the advantages of the tool is its ability to capture individual variations in child functioning (illuminating strengths and psychological vulnerabilities), even within children in the same diagnostic group. Of note, additional research is needed to establish the utility of PDC-C ratings in predicting clinically relevant constructs and to monitor the processes and outcomes of interventions.

Identifiers

PMID35373960
PMCPMC9153754

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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.