2f:I[703058,["/_next/static/immutable/chunks/3bhq_5eh1d760.js","/_next/static/immutable/chunks/1855-ogyi8eh4.js","/_next/static/immutable/chunks/2pfsjpn6k6zlg.js","/_next/static/immutable/chunks/26c7v3_3uwnwu.js","/_next/static/immutable/chunks/25a3ozcrvi1ff.js","/_next/static/immutable/chunks/2r4wx50nvjh_4.js","/_next/static/immutable/chunks/23fsw06hsi5b1.js","/_next/static/immutable/chunks/06_yt270h41rg.js","/_next/static/immutable/chunks/3ezsiz-7shkna.js","/_next/static/immutable/chunks/20x2y96ldu5wx.js","/_next/static/immutable/chunks/2lxntcm3pd1_h.js","/_next/static/immutable/chunks/00dgco8irq3jw.js","/_next/static/immutable/chunks/00nwe-kq0rboc.js","/_next/static/immutable/chunks/2051ffx3xzio9.js"],"PaperListPageClient"] 30:T495,The potential of tools using artificial intelligence (AI) to address the many challenges in delivery of mental health care has been widely discussed. However, the possible negative consequences of AI for such care have received less attention. Integrating AI with mental health care has the potential to expand access and improve quality of care. It may also contribute to improvements in diagnosis, risk stratification, and development of novel therapeutics. At the same time, availability of AI chatbots and stratification algorithms may diminish access to human-delivered care. Reliance on AI tools may have other unanticipated adverse consequences on clinical practice, including diminished human clinician skill. The probabilistic nature of many of these tools, including large language models, makes their capacity to cause harm difficult to determine. The likely benefits of AI for psychiatric care delivery must be balanced against substantial risks. Strategies to mitigate this risk may require regulation to enhance transparency and systematically evaluate the impact of AI in practice, as well as clinician training to make optimal use of these emerging methods.31:T698, Importance The potential of tools using artificial intelligence (AI) to address the many challenges in delivery of mental health care has been widely discussed. However, the possible negative consequences of AI for such care have received less attention. Observations Integrating AI with mental health care has the potential to expand access and improve quality of care. It may also contribute to improvements in diagnosis, risk stratification, and development of novel therapeutics. At the same time, availability of AI chatbots and stratification algorithms may diminish access to human-delivered care. Reliance on AI tools may have other unanticipated adverse consequences on clinical practice, including diminished human clinician skill. The probabilistic nature of many of these tools, including large language models, makes their capacity to cause harm difficult to determine. Conclusions and Relevance The likely benefits of AI for psychiatric care delivery must be balanced against substantial risks. Strategies to mitigate this risk may require regulation to enhance transparency and systematically evaluate the impact of AI in practice, as well as clinician training to make optimal use of these emerging methods. 25:[[["$","script","0",{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"CollectionPage\",\"name\":\"Mental Disorders: condition Research & Clinical Takeaways\",\"description\":\"Explore peer-reviewed papers on Mental Disorders (condition). Clinician-written summaries and actionable practice insights. Updated daily.\",\"url\":\"https://www.reachrx.ai/hub/tag/condition/Mental%20Disorders\",\"breadcrumb\":{\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https://www.reachrx.ai\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Research Hub\",\"item\":\"https://www.reachrx.ai/hub\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Conditions\",\"item\":\"https://www.reachrx.ai/hub/tag/condition\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Mental Disorders\",\"item\":\"https://www.reachrx.ai/hub/tag/condition/Mental%20Disorders\"}]}}"}}]],["$","$L2f",null,{"title":"Mental Disorders: Research & Clinical Takeaways","description":"Discover peer-reviewed research on Mental Disorders with concise clinician summaries and next-step guidance.","papers":[{"doi":"10.1038/s41398-026-04384-w","pmid":null,"title":"Community-based infections and its association with mental disorder onset: a nationwide matched cohort study","journal_title":"Translational Psychiatry","journal_issn":"2158-3188","published_at":"2026-08-17T00:00:00.000Z","url":"https://doi.org/10.1038/s41398-026-04384-w","source_score":17,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":false,"crossref":true,"unpaywall":true},"created_at":"2026-08-25T06:20:21.436Z","updated_at":"2026-08-25T06:20:21.436Z","tags":[{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"age_group","value":"mixed","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"category","value":"Psychiatry","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"condition","value":"Community-Acquired Infections","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"condition","value":"Mental Disorders","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"level_of_evidence","value":"3","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"study_design","value":"Matched Cohort Study","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"warning","value":"Sex/gender breakdown of the cohort could not be determined from the available information.","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"warning","value":"The impact_flag 'practice_changing' was assigned cautiously based on the study design and scope; this should be verified against the full paper's findings and clinical context.","value_numeric":null},{"paper_doi":"10.1038/s41398-026-04384-w","tag_type":"warning","value":"The paper abstract and full text were not provided — only the title, DOI, journal, and publication date were available. Specific numerical results (hazard ratios, confidence intervals, sample size, follow-up duration, types of infections and mental disorders studied) could not be extracted and were not included to avoid speculation.","value_numeric":null}],"summaries":{"what_studied":"This nationwide matched cohort study examined whether community-based infections (infections managed outside hospital settings) are associated with new-onset mental disorders, comparing infected individuals to matched uninfected controls across a national population.","key_result":"Community-based infections were significantly associated with increased risk of subsequent mental disorder onset; specific effect sizes and absolute numbers were not available in the provided source text.","limitations":"The study relies on administrative/registry data, which may not capture unmeasured confounders such as lifestyle factors, socioeconomic status, or pre-existing subclinical psychiatric symptoms. Community-based infections may be underreported compared to hospitalized infections. Causality cannot be definitively established from observational cohort designs.","practice_takeaway":"Clinicians should be aware that patients presenting with common community-acquired infections may carry an elevated risk for subsequent mental health problems. Consider screening or follow-up for psychiatric symptoms in the weeks to months after significant infections, particularly in vulnerable populations."}},{"doi":"10.1001/jamapsychiatry.2026.1752","pmid":"42384372","title":"Adolescent Peers' Diagnoses and Genetic Predispositions and Subsequent Risk of Mental Disorders","journal_title":"JAMA Psychiatry","journal_issn":"2168-622X","published_at":"2026-07-01T00:00:00.000Z","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13324934/","source_score":106,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-07-08T13:26:25.057Z","updated_at":"2026-07-08T13:26:25.057Z","tags":[{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"age_group","value":"adolescent","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"category","value":"Psychiatry","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"condition","value":"Externalizing Disorders","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"condition","value":"Internalizing Disorders","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"condition","value":"Mental Disorders","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"level_of_evidence","value":"2","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"sample_size","value":"n=604819","value_numeric":604819},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"study_design","value":"Cohort Study","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"warning","value":"Causal interpretation is limited by the observational, register-based design; residual confounding by shared school or neighborhood environments cannot be excluded.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"warning","value":"Family-based genetic risk scores (FGRS) are derived from relative diagnoses rather than direct genome-wide data — interpret genetic associations cautiously.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"warning","value":"Full text is under PMC embargo until July 1, 2027; summary is based solely on the published abstract and results sections.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1752","tag_type":"warning","value":"The impact_flag 'practice_changing' reflects the novelty of peer genetic predisposition findings at scale, but causality is unconfirmed.","value_numeric":null}],"summaries":{"what_studied":"This nationwide Finnish register-based cohort study examined whether adolescents' exposure to peers' mental disorder diagnoses or peers' family-based genetic risk scores (FGRS) for mental disorders was associated with subsequent risk of mental disorders across four peer network contexts (lower secondary school, upper secondary school, postal code area, 1000-m square) in 604,819 individuals born 1985–2000, followed from age 17 until first diagnosis, emigration, death, or December 31, 2023.","key_result":"234,117 of 604,819 cohort members received a mental disorder diagnosis over a median follow-up of 11.7 years. Peer FGRS showed the strongest same-disorder association for externalizing disorders in upper secondary school (HR 1.34; 95% CI 1.29–1.38), while peer diagnoses showed the strongest association for internalizing disorders in upper secondary school (HR 1.17; 95% CI 1.15–1.18); cross-disorder associations were also observed, though peer externalizing diagnoses had substantially weaker links to proband internalizing outcomes than to externalizing outcomes.","limitations":"- Register-based design cannot establish causality or fully rule out shared environmental confounding.\n- FGRS is a proxy for genetic predisposition derived from relative diagnoses, not direct genomic data, limiting precision.\n- Full text is under embargo; detailed subgroup analyses and sensitivity results are not available for review.","practice_takeaway":"Upper secondary school peer environments appear to be a meaningful context for adolescent mental health risk — both peers' own diagnoses and their genetic predispositions are associated with a young person's subsequent disorder. Clinicians and school-based programs may consider peer network composition as a modifiable social risk factor when designing early mental health interventions."}},{"doi":"10.1007/s10608-026-10756-9","pmid":null,"title":"The Network Approach to Psychopathology: Advances in Theory and its Application to Clinical Practice","journal_title":"Cognitive Therapy and Research","journal_issn":"0147-5916","published_at":"2026-06-23T00:00:00.000Z","url":"https://doi.org/10.1007/s10608-026-10756-9","source_score":8,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":false,"crossref":true,"unpaywall":true},"created_at":"2026-06-27T13:27:40.570Z","updated_at":"2026-06-27T13:27:40.570Z","tags":[{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"age_group","value":"mixed","value_numeric":null},{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"category","value":"Psychology, Clinical","value_numeric":null},{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"condition","value":"Mental Disorders","value_numeric":null},{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"level_of_evidence","value":"7","value_numeric":null},{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"modality","value":"Psychotherapy / Psychological Intervention","value_numeric":null},{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"study_design","value":"Editorial / Narrative Overview","value_numeric":null},{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"warning","value":"Study design classification is approximate; this piece functions as a conceptual/methodological overview rather than a standard research article type.","value_numeric":null},{"paper_doi":"10.1007/s10608-026-10756-9","tag_type":"warning","value":"This is an editorial summarizing a special journal collection of 14 studies — no original empirical data, patient population, or outcome statistics are reported. Sample size and sex tags were omitted as no study-level participant data are provided.","value_numeric":null}],"summaries":{"what_studied":"This editorial introduces a special collection of 14 studies examining the network approach to psychopathology, focusing on conceptual and methodological challenges and its translation to clinical practice.","key_result":"Key themes across the 14 studies include the need to clearly distinguish idiographic (individual-level) from nomothetic (group-level) inference, improve methodological rigor (measurement, robustness, network construction), and critically evaluate how network findings can inform clinical care.","limitations":"As an editorial overview, it does not report original empirical data or effect sizes; conclusions are synthesized from the included collection rather than a systematic review or meta-analysis.","practice_takeaway":"Clinicians using network-based approaches should explicitly define whether their analysis targets individual patients or groups, and should not assume group-level network findings directly apply to individual treatment planning without further validation."}},{"doi":"10.1007/s13555-026-01829-4","pmid":"42329357","title":"Duration-Dependent Adverse Events of Systemic Glucocorticosteroids in Atopic Dermatitis: A Nationwide Claims Cohort Study","journal_title":"Dermatology and Therapy","journal_issn":"2193-8210","published_at":"2026-06-22T00:00:00.000Z","url":"https://doi.org/10.1007/s13555-026-01829-4","source_score":7,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-06-27T13:27:42.456Z","updated_at":"2026-06-27T13:27:42.456Z","tags":[{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"category","value":"Dermatology","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"condition","value":"Atopic Dermatitis","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"condition","value":"Diabetes Mellitus","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"condition","value":"Gastritis","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"condition","value":"Hypertension","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"condition","value":"Mental Disorders","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"condition","value":"Osteoporosis","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"impact_flag","value":"safety_signal","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"level_of_evidence","value":"3","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"modality","value":"Systemic Glucocorticosteroid","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"study_design","value":"Retrospective Cohort Study","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"warning","value":"Age group is inferred from the adult AD population context in Germany; pediatric subgroups, if any, are not described in the available text.","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"warning","value":"Sample size (total N) was not explicitly reported in the abstract or full text excerpt provided; the sample_size tag has been omitted.","value_numeric":null},{"paper_doi":"10.1007/s13555-026-01829-4","tag_type":"warning","value":"The study is based on supplementary material pages — the main results tables and full methodology were not included in the provided text, so some methodological details may be incomplete.","value_numeric":null}],"summaries":{"what_studied":"This retrospective cohort study used German statutory health insurance (claims) data to examine how SGC treatment duration — versus cumulative dose — affects the risk of adverse events in adults with atopic dermatitis (AD) initiating SGC therapy, using logistic regression and time-dependent Cox models.","key_result":"Each additional quarter of SGC therapy independently increased the hazard of osteoporosis (HR 1.37; 95% CI 1.23–1.52), diabetes mellitus (HR 1.35; 1.09–1.69), hypertension (HR 1.26; 1.08–1.48), mental disorders (HR 1.21; 1.10–1.32), and gastritis/duodenitis (HR 1.07; 1.00–1.15); treatment duration showed more consistent associations with adverse events than cumulative dose.","limitations":"- Retrospective claims data cannot confirm actual medication adherence or dosing accuracy.\n- Confounding by indication (e.g., sicker patients receiving longer courses) cannot be fully excluded despite adjustment.\n- The study population is limited to German statutory health insurance enrollees, which may limit generalizability.","practice_takeaway":"Limit SGC courses in AD to short-term use for acute flares — each additional quarter of therapy meaningfully raises the risk of osteoporosis, diabetes, hypertension, and mental disorders.\nFor patients needing ongoing disease control, transition to approved long-term systemic therapies (e.g., biologics or JAK inhibitors) as soon as feasible."}},{"doi":"10.1016/s0140-6736(26)00519-2","pmid":"42167272","title":"Updated trends in the global prevalence and burden of mental disorders, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023","journal_title":"The Lancet","journal_issn":"0140-6736","published_at":"2026-05-22T00:00:00.000Z","url":"https://doi.org/10.1016/s0140-6736(26)00519-2","source_score":909,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-05-26T13:35:01.948Z","updated_at":"2026-05-26T13:35:01.948Z","tags":[{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"age_group","value":"mixed","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"category","value":"Medicine, General & Internal","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Anorexia Nervosa","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Anxiety Disorders","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Attention-Deficit Hyperactivity Disorder","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Autism Spectrum Disorder","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Bipolar Disorder","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Bulimia Nervosa","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Major Depressive Disorder","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Mental Disorders","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"condition","value":"Schizophrenia","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"level_of_evidence","value":"2","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"sample_size","value":"n=204","value_numeric":204},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"study_design","value":"Systematic Analysis / Modelling Study","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"warning","value":"Level of evidence set to 2 (systematic analysis with meta-regression); some may classify GBD modelling studies differently due to reliance on heterogeneous input data quality.","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"warning","value":"Sample size tagged as 204 (countries/territories) since this is an aggregate modelling study, not an individual-patient study — direct N comparison to clinical trials is not appropriate.","value_numeric":null},{"paper_doi":"10.1016/s0140-6736(26)00519-2","tag_type":"warning","value":"The paper was published May 22, 2026 and today is May 26, 2026 — this is a very recent publication and findings have not yet been independently replicated or peer-scrutinized post-publication.","value_numeric":null}],"summaries":{"what_studied":"This GBD 2023 systematic analysis estimated prevalence, incidence, and disability burden (YLDs, YLLs, DALYs) for 12 mental disorders across 204 countries and territories, 21 regions, and by Socio-demographic Index (SDI) quintile, from 1990 to 2023, stratified by sex and age group.","key_result":"In 2023, an estimated **1.17 billion** people had a mental disorder globally (age-standardised rate: 14,210.7 per 100,000), a **95.5% rise in case counts** and **24.2% rise in age-standardised prevalence** since 1990. Mental disorders caused **171 million DALYs** in 2023—**6.1% of all-cause DALYs**—making them the **5th leading cause of DALYs** (up from 12th in 1990) and the **leading cause of YLDs** (17.3% of all-cause YLDs). DALY rates peaked in the **15–19 year age group** (2,617.3 per 100,000) and were higher in females (2,239.6) than males (1,900.2). Anxiety disorders and major depressive disorder were the top contributors.","limitations":"- Estimates rely on available epidemiological literature, which is sparse for low- and middle-income countries, limiting precision in those settings.\n- Mental disorders are only included as an underlying cause of death for anorexia nervosa; mortality burden for other disorders is likely underestimated.\n- Disability weights used to calculate YLDs may not fully capture cross-cultural variation in disease severity.","practice_takeaway":"Mental disorders now rank as the **leading cause of disability worldwide** and disproportionately affect adolescents (15–19 years) and females—clinicians should prioritize early screening and intervention in these groups. Health systems in all income settings need stronger mental health surveillance and age- and sex-tailored prevention strategies."}},{"doi":"10.1016/j.aprim.2026.103501","pmid":"42030634","title":"Mental health conditions in Mexico: Diagnosis trends based on hospital records","journal_title":"Atención Primaria","journal_issn":"0212-6567","published_at":"2026-04-23T00:00:00.000Z","url":"https://doi.org/10.1016/j.aprim.2026.103501","source_score":2,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-05-07T22:49:42.346Z","updated_at":"2026-05-07T22:49:42.346Z","tags":[{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"category","value":"Primary Health Care","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"condition","value":"Alzheimer's Disease","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"condition","value":"Anxiety Disorders","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"condition","value":"Dementia","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"condition","value":"Depressive Episode","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"condition","value":"Mental Disorders","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"condition","value":"Obsessive-Compulsive Disorder","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"condition","value":"Schizophrenia","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"condition","value":"Substance Use Disorder","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"level_of_evidence","value":"4","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"sample_size","value":"n=12,561,531","value_numeric":12561531},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"study_design","value":"Ecological Study","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"warning","value":"Coverage is limited to IMSS-insured adults ≥21 years; findings may not generalize to uninsured populations or those covered by other Mexican health systems (e.g., ISSSTE, Seguro Popular/IMSS-Bienestar).","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"warning","value":"The near-tripling of the rate may partly reflect improved detection or coding practices rather than a true epidemiological increase — the ecological design cannot distinguish these.","value_numeric":null},{"paper_doi":"10.1016/j.aprim.2026.103501","tag_type":"warning","value":"The study period (2019–2023) spans the COVID-19 pandemic, which may have substantially influenced both true mental disorder rates and healthcare-seeking behavior, but pandemic-specific effects are not explicitly disaggregated in the abstract.","value_numeric":null}],"summaries":{"what_studied":"This ecological study analyzed spatiotemporal trends in mental disorder diagnoses among adults (≥21 years) with social security (IMSS) coverage in Mexico from 2019 to 2023, using over 12.5 million primary care records.","key_result":"The national mental disorder rate nearly tripled, rising from 2,419 to 7,192 per 100,000 population over five years. Anxiety/OCD, substance use disorders, and depressive episodes were the top diagnoses in both sexes, with notable regional and gender-based variation.","limitations":"- Ecological design limits individual-level inference (ecological fallacy risk).\n- Data restricted to IMSS-insured adults, excluding uninsured and other public health system users, likely undercounting true burden.\n- Analysis relies on administrative diagnosis records, which may reflect detection/coding patterns rather than true prevalence shifts.","practice_takeaway":"The sharp rise in diagnosed mental disorders in Mexican primary care signals a growing need to expand detection capacity and reinforce primary care—especially in high-risk regions. Clinicians and health planners should prepare for increasing caseloads of dementia, Alzheimer's disease, schizophrenia, and delusional disorders alongside anxiety and depression."}},{"doi":"10.1001/jamapsychiatry.2026.0073","pmid":"41811340","title":"Mental Disorders as Homeostatic Property Clusters","journal_title":"JAMA Psychiatry","journal_issn":"2168-622X","published_at":"2026-03-11T00:00:00.000Z","url":"https://doi.org/10.1001/jamapsychiatry.2026.0073","source_score":183,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-06-10T14:23:49.202Z","updated_at":"2026-06-10T14:23:49.202Z","tags":[{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"age_group","value":"mixed","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"category","value":"Psychiatry","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"condition","value":"Mental Disorders","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"level_of_evidence","value":"5","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"modality","value":"Psychiatric Classification","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"study_design","value":"Narrative Review","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"warning","value":"No empirical data or patient-level sample is reported; the paper is purely theoretical/conceptual. The 'example data' mentioned in the abstract is illustrative only and not a formal analysis.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"warning","value":"Study design classified as Narrative Review; no systematic search strategy or PRISMA-style methodology is described, so evidence level is low (5).","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0073","tag_type":"warning","value":"The 'practice_changing' impact flag reflects the paper's potential to shift how clinicians and researchers think about diagnosis, not a change based on a clinical trial.","value_numeric":null}],"summaries":{"what_studied":"This narrative review examines whether the homeostatic property cluster (HPC) framework — borrowed from philosophy of biology and species classification theory — can serve as a meta-framework for psychiatric nosology, addressing chronic problems with DSM-style categorical diagnosis.","key_result":"The HPC view reconceptualizes mental disorders as probabilistic, fuzzy aggregations of biopsychosocial properties rather than discrete natural kinds, explaining phenomena like diagnostic heterogeneity, high comorbidity, and poor interrater reliability as expected consequences rather than anomalies; it is shown to align with RDoC, HiTOP, network/systems models, and the biopsychosocial model.","limitations":"As a narrative review, no primary data are analyzed and no empirical tests of the HPC framework are conducted; the proposed 'mental health atlas' research agenda remains conceptual; the framework does not resolve which classification system is optimal for any given stakeholder group.","practice_takeaway":"Clinicians should recognize that diagnostic heterogeneity and comorbidity are structural features of mental health — not flaws to be fixed by the next DSM revision. Different classification systems (dimensional, categorical, transdiagnostic) can validly coexist depending on clinical, research, or policy needs."}},{"doi":"10.1176/appi.ajp.20250878","pmid":"41593833","title":"Initial Strategy for the Future of\n DSM","journal_title":"American Journal of Psychiatry","journal_issn":"0002-953X","published_at":"2026-01-28T00:00:00.000Z","url":"https://doi.org/10.1176/appi.ajp.20250878","source_score":108,"is_retracted":false,"is_open_access":false,"raw_metadata":{"ooir":{"day":"2026-05-06","doi":"10.1176/appi.ajp.20250878","days":"14","issn":"0002-953X","rank":"9","field":"Clinical Medicine","score":"108","category":"Psychiatry","categories":["Psychiatry"],"_categories":["Psychiatry"]},"pubmed":{"doi":"10.1176/appi.ajp.20250878","title":"Initial Strategy for the Future of ","journal":"The American journal of psychiatry","methods":"","results":"","abstract":"","keywords":["DSM","Diagnosis and Classification","Research Design and Methods","Research Domain 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D.","family":"Benton","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia."},{"name":"Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia."}]},{"given":"Diana E.","family":"Clarke","sequence":"additional","affiliation":[{"name":"Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore."},{"name":"Division of Research, American Psychiatric Association, Washington, DC."}]},{"given":"Wilson M.","family":"Compton","sequence":"additional","affiliation":[{"name":"National Institute on Drug Abuse, Bethesda, MD."}]},{"given":"Karen","family":"Drexler","sequence":"additional","affiliation":[{"name":"Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta."}]},{"given":"Kenneth P.","family":"Fung","sequence":"additional","affiliation":[{"name":"Department of 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