SynthesisJournal of clinical oncology : official journal of the American Society of Clinical Oncology2010
Are gold standard depression measures appropriate for use in geriatric cancer patients? A systematic evaluation of self-report depression instruments used with geriatric, cancer, and geriatric cancer samples.
Synthesis in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 126 citations in OpenAlex.
- Dealing with the lack of evidence to treat depression in older patients with cancer: French Societies of Geriatric Oncology (SOFOG) and PsychoOncology (SFFPO) position paper based on a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Pooled it
- The Difficult Task of Diagnosing Depression in Elderly People with Cancer: A Systematic Review.Clinical practice and epidemiology in mental health : CP & EMH · 2021Pooled it
- Resilience and Depressive Symptoms in Adults With Cardiac Disease: A Systematic Review.The Journal of cardiovascular nursingPooled it
- Trial
- PROMIS and legacy measures compared in a supportive care intervention for breast cancer patients and caregivers: Experience from a randomized trial.Psycho-oncology · 2018Trial
- The Role of Inflammation in the Pain, Fatigue, and Sleep Disturbance Symptom Cluster in Advanced Cancer.Journal of pain and symptom management · 2018Trial
- Trial
- Cognitive biotypes identified through ECG-derived workload and behavioral accuracy.Scientific reports · 2026Article
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- The effects of emotional distress on the postoperative survival and progression in patients with breast cancer: a prospective observational study.World journal of surgical oncology · 2025Observational
- Cognitive interviewing of the older adults with cancer - depression scale (OAC-D): A patient-reported outcome (PRO).Palliative & supportive care · 2025Article
- Observational
- Depressive symptom trajectories in older breast cancer survivors: the Thinking and Living with Cancer Study.Journal of cancer survivorship : research and practice · 2025Article
- MulitDeepsurv: survival analysis of gastric cancer based on deep learning multimodal fusion models.Biomedical optics express · 2025Article
- Can generative AI assess PTSD? A clinical validation study of transcribed and direct audio input modalities.BMJ digital health & AI · 2025Article
- Acupuncture may play a key role in anti-depression through various mechanisms in depression.Chinese medicine · 2024Review
- Prevalence and co-incidence of geriatric syndromes according to the ECOG performance status in older cancer patients.Frontiers in medicine · 2024Article
- Assessing patient-reported outcomes (PROs) and patient-related outcomes in randomized cancer clinical trials for older adults: Results of DATECAN-ELDERLY initiative.Journal of geriatric oncology · 2024Review
- Quality of Life, Physical Functioning, and Psychological Distress of Older Adults Undergoing Hematopoietic Stem Cell Transplantation.Transplantation and cellular therapy · 2023Article
- External validation of the first prognostic nomogram for older adults with cancer.Therapeutic advances in medical oncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
purposeGeriatric issues in cancer are becoming prominent. Depression is a significant concern for both the elderly and patients with cancer, yet identifying depression in these patients is difficult and often leads to under-recognition. We conducted a systematic review to determine which depression instruments are appropriate for use in geriatric patients with cancer.
methodsWe identified the most commonly used self-report depression instruments. We then used the criteria established in the US Food and Drug Administration Draft Guidance on Patient-Reported Outcome Measures to determine the extent of validation evidence of these measures in geriatric cancer populations. Finally, we determined which instruments captured depressive symptoms that are common among elderly patients with cancer.
resultsEight measures were selected as the most commonly used instruments. These were the Beck Depression Inventory-II, Brief Symptom Inventory-18, Center for Epidemiologic Studies-Depression Scale, Geriatric Depression Scale-15, Hospital Anxiety and Depression Scale, Patient Health Questionnaire-9, Profile of Mood States-Short Form, and Zung Self-Rating Depression Scale. Many have been validated for use with geriatric adults and patients with cancer; however, data addressing content validity and responder definition were lacking. To date, there is no validation information for geriatric patients with cancer. Furthermore, symptom profile analysis revealed that these measures do not identify many symptoms signaling depression in geriatric patients with cancer.
conclusionThe validation evidence for use of common depression instruments in geriatric patients with cancer is lacking. This, and the possibility that these measures may not assess common depressive symptoms in geriatric patients with cancer, questions the adequacy of these scales in this population.
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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.