Evidence map›Paper›PMID 35444712›Full record

SynthesisClinical practice and epidemiology in mental health : CP & EMH2021

The Difficult Task of Diagnosing Depression in Elderly People with Cancer: A Systematic Review.

Elena Massa, Clelia Donisi, Nicole Liscia, Clelia Madeddu, Valentino Impera, Stefano Mariani, Mario Scartozzi, Eleonora Lai

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Clinical practice and epidemiology in mental health : CP & EMH, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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 at 1 institution in 1 country.

Elena MassaDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Clelia DonisiDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Nicole LisciaDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Clelia MadedduDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Valentino ImperaDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Stefano MarianiDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Mario ScartozziDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Eleonora LaiDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
University of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is a common psychiatric problem in the elderly and oncology patients. In elderly people with cancer, depression has a peculiar phenomenology. It has a significant impact on the quality of life. Moreover, it is associated with poor adherence to treatments, increased risk of suicide, and mortality. Nevertheless, the topic of depression in elderly people with cancer remains unexplored. Objective: The main goal of this article is to review the literature from the past 20 years on the relationships between depression, cancer, and aging. Methods: The methods followed the Prisma model for eligibility of studies. The articles in which the keywords "depression", "cancer", " elderly, aging, or geriatric" were present, either in the text or in the abstract, were selected. 8.056 articles, by matching the keywords "depression and elderly and cancer," were identified. Only 532 papers met the eligibility criteria of search limits and selection process. Out of 532 papers, 467 were considered irrelevant, leaving 65 relevant studies. Out of 65 suitable studies, 39 (60.0%) met our quality criteria and were included. Results: The risk factors associated with depression in elderly people with cancer can be divided into 4 groups: 1) tumor-related; 2) anticancer treatment-related; 3) patients-related; 4) number and type of comorbidity. The main obstacles in diagnosing depression in elderly patients with cancer are the overlap of the symptoms of cancer and side effects of treatment with the symptoms of depression but also the different ways of reporting depressive symptoms of elderly people and the different clinical types of depression. There is a lack of data regarding validated scales to assess depression in geriatric patients with cancer. Any mental illness, specifically co-occurring anxiety and depression, increases the risk of diagnosis delay and anticancer treatment adherence. Cancer and the diagnosis of mental disorders prior to cancer diagnosis correlate with an increased risk for suicide. A non-pharmacological therapeutic approach, pharmacological treatment and/or a combination of both can be used to treat elderly patients with cancer, but a detailed analysis of comorbidities and the assessment of polypharmacy is mandatory in order to avoid potential side-effects and interactions between antidepressants and the other drugs taken by the patients. Conclusion: Future research should be conducted with the aim of developing a modified and adapted assessment method for the diagnosis and treatment of depression in elderly people with cancer in order to improve their clinical outcomes and quality of life.

Indexed as

Anticancer treatmentsCancerDeath riskDepressionElderlyQuality of lifeSuicide

Identifiers

PMID35444712
PMCPMC8985471
OpenAlexW4205403550

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.