SynthesisBMC psychiatry2013
Antidepressants in the treatment of depression/depressive symptoms in cancer patients: a systematic review and meta-analysis.
Synthesis in BMC psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 6 of them syntheses that pooled 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.
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.
Who cites it
47 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Depression, Anxiety, and Other Mental Disorders in Patients With Cancer in Low- and Lower-Middle-Income Countries: A Systematic Review and Meta-Analysis.JCO global oncology · 2021Pooled it
- Depression and glioblastoma, complicated concomitant diseases: a systemic review of published literature.Neurosurgical review · 2020Pooled it
- Elusive search for effective provider interventions: a systematic review of provider interventions to increase adherence to evidence-based treatment for depression.Implementation science : IS · 2018Pooled it
- Antidepressants for the treatment of depression in people with cancer.The Cochrane database of systematic reviews · 2018Pooled it
- Depression as a predictor of adherence to adjuvant endocrine therapy (AET) in women with breast cancer: a systematic review and meta-analysis.Breast cancer research and treatment · 2015Pooled it
- Antidepressants for the treatment of depression in people with cancer.The Cochrane database of systematic reviews · 2015Pooled it
- Advancing Care Team Adoption of Electronic Health Record Systems for Cancer Symptom Management: Findings From a Hybrid Type II, Cluster-Randomized, Stepped-Wedge Trial.JCO oncology practice · 2025Trial
- Optimizing smartphone psychotherapy for depressive symptoms in patients with cancer: Multiphase optimization strategy using a decentralized multicenter randomized clinical trial (J-SUPPORT 2001 Study).Psychiatry and clinical neurosciences · 2024Trial
- Rapid and sustained symptom reduction following psilocybin treatment for anxiety and depression in patients with life-threatening cancer: a randomized controlled trial.Journal of psychopharmacology (Oxford, England) · 2016Trial
- Depression remodels tumor microenvironment to drive tumor progression: Bio-behavioural signalling pathways and clinical interventions.Journal of advanced research · 2026Review
- Effects of alpha-pinene on depressive behaviors in a dextromethorphan-induced depression model in rats.Journal of Taibah University Medical Sciences · 2026Article
- Association between Benzodiazepine and Dementia Risk in Treating Depression after Breast Cancer Diagnosis: A Nationwide Population-Based Cohort Study.Yonsei medical journal · 2025Article
- The Impact of Antidepressants on Surgical Outcomes Among Patients With Abdominal Cancer and Comorbid Depression.Psycho-oncology · 2025Article
- The Interplay of Chronic Stress and Cancer: Pathophysiology and Implications for Integrated Care.Cancer reports (Hoboken, N.J.) · 2025Review
- Metabolic underpinnings of cancer-related fatigue.American journal of physiology. Endocrinology and metabolism · 2024Review
- PAM trial protocol: a randomised feasibility study of psychedelic microdosing-assisted meaning-centred psychotherapy in advanced stage cancer patients.Pilot and feasibility studies · 2024Article
- [Rational treatment of depressive syndromes in brain tumor patients].Der Nervenarzt · 2024Review
- Antidepressants for the treatment of depression in people with cancer.The Cochrane database of systematic reviews · 2023Review
- Effective maNagement of depression among patients witH cANCEr (ENHANCE): a protocol for a hybrid systematic review and network meta-analysis of randomised controlled trials of interventions for depressive symptoms.Systematic reviews · 2022Article
- A systematic review of pharmacologic treatment efficacy for depression in older patients with cancer.Brain, behavior, & immunity - health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver the past thirty years a number of studies have suggested that antidepressants can be effective in the treatment of depressive symptoms in patients with cancer. The aim of this paper was to review randomized controlled trials (RCTs) and to perform a meta-analysis in order to quantify their overall effect.
methodsPubmed and the Cochrane libraries were searched for the time period between 1980 and 2010.
resultsNine RCTs were identified and reviewed. Six of them (with a total of 563 patients) fulfilled the criteria for meta-analysis, but exhibited an unclear risk for bias. The estimated effect size was 1.56 with 95% CI: 1.07- 2.28 (p= 0.021). There were no differences in discontinuation rates between antidepressants and placebo groups (RR= 0.86 with 95% CI 0.47- 1.56, p=0.62).
conclusionsThis meta-analysis suggests that antidepressants can be effective in treating depressive symptoms beside clinical depression. When considering the risk of side effects and interactions and the heterogeneity among the mostly small studies, a general recommendation cannot be made until well-controlled studies are conducted.
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Registered trials
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.