Evidence map›Paper›PMID 36467263›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Criterion and construct validity of the Beck Depression Inventory (BDI-II) to measure depression in patients with cancer: The contribution of somatic items.

Sílvia Almeida, Marta Camacho, J Bernardo Barahona-Corrêa, José Oliveira, Raquel Lemos, Daniel Rodrigues da Silva, Joaquim Alves da Silva, Telmo Mourinho Baptista, Jaime Grácio, Albino J Oliveira-Maia

Open access · goldAbstract read
In one paragraph

Article in International journal of clinical and health psychology : IJCHP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

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  16. Assessment of depression in total laryngectomy patients.Brazilian journal of otorhinolaryngology
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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

10 authors at 2 institutions in 1 country.

Sílvia AlmeidaChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Marta CamachoChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
J Bernardo Barahona-CorrêaChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
José OliveiraChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Raquel LemosChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Daniel Rodrigues da SilvaChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Joaquim Alves da SilvaChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Telmo Mourinho BaptistaUniversidade de Lisboa, Faculdade de Psicologia, Lisbon, Portugal.
Jaime GrácioChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Albino J Oliveira-MaiaChampalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal.
Champalimaud Foundation · PTUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objective: Screening for depression in patients with cancer can be difficult due to overlap between symptoms of depression and cancer. We assessed validity of the Beck Depression Inventory (BDI-II) in this population. Method: Data was obtained in an outpatient neuropsychiatry unit treating patients with and without cancer. Psychometric properties of the BDI-II Portuguese version were assessed separately in 202 patients with cancer, and 376 outpatients with mental health complaints but without cancer. Results: Confirmatory factor analysis suggested a three-factor structure model (cognitive, affective and somatic) provided best fit to data in both samples. Criterion validity was good for detecting depression in oncological patients, with an area under the ROC curve (AUC) of 0.85 (95% confidence interval [CI], 0.76-0.91). A cut-off score of 14 had sensitivity of 87% and specificity of 73%. Excluding somatic items did not significantly change the ROC curve for BDI-II (difference AUCs = 0.002, Conclusions: The BDI-II demonstrated good psychometric properties in patients with cancer, comparable to a population without cancer. Exclusion of somatic items did not affect screening accuracy.

Indexed as

AssessmentBDI-IICancerDepressionPsychometry

Identifiers

PMID36467263
PMCPMC9709241
OpenAlexW4310356416

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.