Evidence map›Paper›PMID 34224469›Full record

ReviewCurrent opinion in psychiatry2021

Recent trends in the management of depression in persons with cancer.

Aliza A Panjwani, Madeline Li

Abstract readReviewVideo-Audio Media
PubMed Publisher
In one paragraph

Review in Current opinion in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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  15. Antidepressants for the treatment of depression in people with cancer.The Cochrane database of systematic reviews · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Aliza A PanjwaniDivision of Psychosocial Oncology, Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network.
Madeline LiDivision of Psychosocial Oncology, Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewDepression is a prevalent comorbidity in cancer that significantly increases the risk for numerous negative health outcomes. This review updates the current evidence base for management of depression in cancer, highlighting new research directions based on the inflammatory hypothesis of depression. RECENT

findingsResearch on pharmacotherapy and psychotherapy for depression in cancer has shown mixed efficacy partly because of methodological issues arising from the phenomenology of depression in cancer. After decades of stagnancy, more recent high-quality clinical trials are beginning to provide an evidence base to guide treatment. Inflammatory cytokine-associated depression is a subtype of depression that may have particular relevance in cancer, opening new avenues to explore therapeutic targets and biobehavioral impacts of interventions, which may improve cancer outcomes. SUMMARY: The continuum of severity in cancer-related depression is important to consider in management approaches. Choice of treatment should be personalized to the patient and their symptom profile as there is currently insufficient evidence to recommend any particular medication or psychotherapy over another. Psychological interventions should be considered first line for mild-to-moderate depression, and pharmacological treatment added for more severe depression, which can be optimally delivered within a collaborative care model. VIDEO ABSTRACT: http://links.lww.com/YCO/A62.

Indexed as

NeoplasmsAntidepressive AgentsAntineoplastic AgentsCombined Modality TherapyComorbidityDepressionDepressive DisorderHumansPsychotherapyAntidepressive AgentsAntineoplastic Agents

Identifiers

What OpenQuestion holds

Textmetadata
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.