ArticleComprehensive psychiatry2013
The diagnosis of depression: current and emerging methods.
Article in Comprehensive psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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
34 citing papers in PubMed.
- Low-burden speech-based screening of depressive symptoms using ultra-short speech samples.Frontiers in psychiatry · 2026Article
- Zero-shot medical event prediction using a generative pretrained transformer on electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Predicting 3-year depressive symptoms among middle-aged and older adults in rural China using random forest: insights from the China health and retirement longitudinal study.BMC psychology · 2025Article
- Normative amygdala fMRI response during emotional processing as a trait of depressive symptoms in the UK Biobank.Psychological medicine · 2025Article
- Plasma circulating microRNAs and symptoms of depression: Results from a population-based study.Psychiatry and clinical neurosciences · 2025Article
- Explainable AI for Depression Detection and Severity Classification From Activity Data: Development and Evaluation Study of an Interpretable Framework.JMIR mental health · 2025Article
- Integration of Multi-Modal Biosensing Approaches for Depression: Current Status, Challenges, and Future Perspectives.Sensors (Basel, Switzerland) · 2025Review
- Unveiling the invisible: How cutting-edge neuroimaging transforms adolescent depression diagnosis.World journal of psychiatry · 2025Article
- Article
- Physiological, Psychological, and Functional Health Determinants of Depressive Symptoms Among the Elderly in India: Evaluation of Classification Performance of XGBoost Models.Indian journal of psychological medicine · 2025Article
- Dynamics of cerebral blood flow following sertraline treatment in adolescent depression.Frontiers in psychiatry · 2025Article
- Enhancing TextGCN for depression detection on social media with emotion representation.Frontiers in psychology · 2025Article
- Depression diagnosis from patient interviews using multimodal machine learning.Frontiers in psychiatry · 2025Article
- Explainable depression symptom detection in social media.Health information science and systems · 2024Review
- A cross-section study of the comparison of plasma inflammatory cytokines and short-chain fatty acid in patients with depression and schizophrenia.BMC psychiatry · 2024Article
- Mechanisms Involved in the Link between Depression, Antidepressant Treatment, and Associated Weight Change.International journal of molecular sciences · 2024Review
- Neutrophil-to-lymphocyte ratio as a predictive biomarker for early diagnosis of depression: A narrative review.Brain, behavior, & immunity - health · 2024Review
- A Fresh Perspective on Examining Population Emotional Well-Being Trends by Internet Search Engine: An Emerging Composite Anxiety and Depression Index.International journal of environmental research and public health · 2024Article
- Mental illness detection through harvesting social media: a comprehensive literature review.PeerJ. Computer science · 2024Article
- A study investigating how the albumin-globulin ratio relates to depression risk within U.S. adults: a cross-sectional analysis.Frontiers in nutrition · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Depression is one of the leading causes of disability in adolescents and adults, particularly starting from age 15 years and older. Diagnosis of depression has traditionally been made based on clinical criteria, including patient current symptoms and history. This process is widely used but relies on subjective interpretation. To standardize both the data obtained and data interpretation, various interview-based instruments and noninterview methods exist for screening and testing for depression in various clinical settings. This article evaluates the technical basis for and clinical performance of these various instruments and methods to diagnosis depression in clinical settings. Traditional tools include physician-administered or patient self-administered interview tools that have reasonable clinical accuracy depending on the threshold score and may lead to a full diagnostic evaluation for high-risk patients. In addition, older laboratory methods such as the dexamethasone test have contributed to the diagnosis of depression over a long period. Newer diagnostic methods such as genomics, proteomics, and metabolomics are technically sophisticated and objective and are beginning to emerge in psychiatry. Although promising, further evaluation of these methods is needed to fully demonstrate their clinical value and accuracy.
Indexed as
Identifiers
What OpenQuestion holds
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.