A Scientist's Oath.

Data on the perceptions of scientists suggest a moderate public distrust of scientist's motivations. Bettridge et al. suggest scientist's reluctance to engage the public on controversial ethical issues may be a contributing factor. The authors propose a Scientist's Oath to send a clear message to the public about our ideals.

External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4.

Shortened versions of self-reported questionnaires may be used to reduce respondent burden. When shortened screening tools are used, it is desirable to maintain equivalent diagnostic accuracy to full-length forms. This manuscript presents a case study that illustrates how external data and individual participant data meta-analysis can be used to assess the equivalence in diagnostic accuracy between a shortened and full-length form. This case study compares the Patient Health Questionnaire-9 (PHQ-9) and a 4-item shortened version (PHQ-Dep-4) that was previously developed using optimal test assembly methods. Using a large database of 75 primary studies (34,698 participants, 3,392 major depression cases), we evaluated whether the PHQ-Dep-4 cutoff of ≥ 4 maintained equivalent diagnostic accuracy to a PHQ-9 cutoff of ≥ 10. Using this external validation dataset, a PHQ-Dep-4 cutoff of ≥ 4 maximized the sum of sensitivity and specificity, with a sensitivity of 0.88 (95% CI 0.81, 0.93), 0.68 (95% CI 0.56, 0.78), and 0.80 (95% CI 0.73, 0.85) for the semi-structured, fully structured, and MINI reference standard categories, respectively, and a specificity of 0.79 (95% CI 0.74, 0.83), 0.85 (95% CI 0.78, 0.90), and 0.83 (95% CI 0.80, 0.86) for the semi-structured, fully structured, and MINI reference standard categories, respectively. While equivalence with a PHQ-9 cutoff of ≥ 10 was not established, we found the sensitivity of the PHQ-Dep-4 to be non-inferior to that of the PHQ-9, and the specificity of the PHQ-Dep-4 to be marginally smaller than the PHQ-9.

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis.

BACKGROUND: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. METHODS: We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. RESULTS: 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). CONCLUSIONS: PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis.

BACKGROUND: Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. OBJECTIVE: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. METHODS: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. RESULTS: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). CONCLUSIONS: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.

Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis.

OBJECTIVE: The Maternal Mental Health in Canada, 2018/2019, survey reported that 18% of 7,085 mothers who recently gave birth reported "feelings consistent with postpartum depression" based on scores ≥7 on a 5-item version of the Edinburgh Postpartum Depression Scale (EPDS-5). The EPDS-5 was designed as a screening questionnaire, not to classify disorders or estimate prevalence; the extent to which EPDS-5 results reflect depression prevalence is unknown. We investigated EPDS-5 ≥7 performance relative to major depression prevalence based on a validated diagnostic interview, the Structured Clinical Interview for DSM (SCID). METHODS: We searched Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO, and the Web of Science Core Collection through June 2016 for studies with data sets with item response data to calculate EPDS-5 scores and that used the SCID to ascertain depression status. We conducted an individual participant data meta-analysis to estimate pooled percentage of EPDS-5 ≥7, pooled SCID major depression prevalence, and the pooled difference in prevalence. RESULTS: A total of 3,958 participants from 19 primary studies were included. Pooled prevalence of SCID major depression was 9.2% (95% confidence interval [CI] 6.0% to 13.7%), pooled percentage of participants with EPDS-5 ≥7 was 16.2% (95% CI 10.7% to 23.8%), and pooled difference was 8.0% (95% CI 2.9% to 13.2%). In the 19 included studies, mean and median ratios of EPDS-5 to SCID prevalence were 2.1 and 1.4 times. CONCLUSIONS: Prevalence estimated based on EPDS-5 ≥7 appears to be substantially higher than the prevalence of major depression. Validated diagnostic interviews should be used to establish prevalence.

Platelet Serotonin Signaling in Patients With Cardiovascular Disease and Comorbid Depression.

OBJECTIVE: Depression in patients with cardiovascular disease is associated with increased risk of adverse clinical outcomes. Investigators have searched for potential biobehavioral explanations for this increased risk. Platelet activation and response to serotonin is an attractive potential mechanism. The aim of the study was to examine platelet serotonin signaling in a group of patients with coronary artery disease (CAD) and comorbid depression to define the relationship between platelet serotonin signaling and cardiovascular complications. METHODS: A total of 300 patients with CAD were enrolled (145 with acute coronary syndrome and 155 with stable CAD). Depression was assessed using the Structured Clinical Interview for DSM-IV as well as Beck Depression Inventory II in a dichotomous and continuous manner. Platelet serotonin response was measured by serotonin augmented aggregation, direct platelet serotonin activation, platelet serotonin receptor density, and platelet serotonin uptake. Cardiovascular outcomes were assessed at 12-month follow-up. RESULTS: One third of enrolled participants had at least minimal depressive symptoms and 13.6% had major depressive disorder. Depressed cardiovascular patients had significantly higher incidence of major (odds ratio = 3.43, 95% confidence interval = 1.49-7.91, p = .004) and minor (odds ratio = 2.42, 95% confidence interval = 1.41-4.13, p = .001) adverse cardiac events. Platelet serotonin response was not significantly different in patients with depression. Participants with major depressive disorder had higher serotonin receptor density (997.5 ± 840.8 vs 619.3 ± 744.3 fmol/ug, p = .009) primarily found in ACS patients. Depressed patients with minor adverse cardiac events had increased platelet response to serotonin. CONCLUSIONS: Depressed cardiovascular patients had higher serotonin receptor density and significantly higher incidence of major and minor cardiac adverse events. Future studies with larger sample sizes including patients with more severe depression are needed to expand on the present hypothesis-generating findings.

Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews.

BACKGROUND: Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully structured interviews are completely scripted. The Mini International Neuropsychiatric Interview (MINI), a brief fully structured interview, is also sometimes used. It is not known whether interview method is associated with probability of major depression classification.AimsTo evaluate the association between interview method and odds of major depression classification, controlling for depressive symptom scores and participant characteristics. METHOD: Data collected for an individual participant data meta-analysis of Patient Health Questionnaire-9 (PHQ-9) diagnostic accuracy were analysed and binomial generalised linear mixed models were fit. RESULTS: A total of 17 158 participants (2287 with major depression) from 57 primary studies were analysed. Among fully structured interviews, odds of major depression were higher for the MINI compared with the Composite International Diagnostic Interview (CIDI) (odds ratio (OR) = 2.10; 95% CI = 1.15-3.87). Compared with semi-structured interviews, fully structured interviews (MINI excluded) were non-significantly more likely to classify participants with low-level depressive symptoms (PHQ-9 scores ≤6) as having major depression (OR = 3.13; 95% CI = 0.98-10.00), similarly likely for moderate-level symptoms (PHQ-9 scores 7-15) (OR = 0.96; 95% CI = 0.56-1.66) and significantly less likely for high-level symptoms (PHQ-9 scores ≥16) (OR = 0.50; 95% CI = 0.26-0.97). CONCLUSIONS: The MINI may identify more people as depressed than the CIDI, and semi-structured and fully structured interviews may not be interchangeable methods, but these results should be replicated.Declaration of interestDrs Jetté and Patten declare that they received a grant, outside the submitted work, from the Hotchkiss Brain Institute, which was jointly funded by the Institute and Pfizer. Pfizer was the original sponsor of the development of the PHQ-9, which is now in the public domain. Dr Chan is a steering committee member or consultant of Astra Zeneca, Bayer, Lilly, MSD and Pfizer. She has received sponsorships and honorarium for giving lectures and providing consultancy and her affiliated institution has received research grants from these companies. Dr Hegerl declares that within the past 3 years, he was an advisory board member for Lundbeck, Servier and Otsuka Pharma; a consultant for Bayer Pharma; and a speaker for Medice Arzneimittel, Novartis, and Roche Pharma, all outside the submitted work. Dr Inagaki declares that he has received grants from Novartis Pharma, lecture fees from Pfizer, Mochida, Shionogi, Sumitomo Dainippon Pharma, Daiichi-Sankyo, Meiji Seika and Takeda, and royalties from Nippon Hyoron Sha, Nanzando, Seiwa Shoten, Igaku-shoin and Technomics, all outside of the submitted work. Dr Yamada reports personal fees from Meiji Seika Pharma Co., Ltd., MSD K.K., Asahi Kasei Pharma Corporation, Seishin Shobo, Seiwa Shoten Co., Ltd., Igaku-shoin Ltd., Chugai Igakusha and Sentan Igakusha, all outside the submitted work. All other authors declare no competing interests. No funder had any role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.

Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy: A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool.

In studies of diagnostic test accuracy, authors sometimes report results only for a range of cutoff points around data-driven "optimal" cutoffs. We assessed selective cutoff reporting in studies of the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) depression screening tool. We compared conventional meta-analysis of published results only with individual-patient-data meta-analysis of results derived from all cutoff points, using data from 13 of 16 studies published during 2004-2009 that were included in a published conventional meta-analysis. For the "standard" PHQ-9 cutoff of 10, accuracy results had been published by 11 of the studies. For all other relevant cutoffs, 3-6 studies published accuracy results. For all cutoffs examined, specificity estimates in conventional and individual-patient-data meta-analyses were within 1% of each other. Sensitivity estimates were similar for the cutoff of 10 but differed by 5%-15% for other cutoffs. In samples where the PHQ-9 was poorly sensitive at the standard cutoff, authors tended to report results for lower cutoffs that yielded optimal results. When the PHQ-9 was highly sensitive, authors more often reported results for higher cutoffs. Consequently, in the conventional meta-analysis, sensitivity increased as cutoff severity increased across part of the cutoff range-an impossibility if all data are analyzed. In sum, selective reporting by primary study authors of only results from cutoffs that perform well in their study can bias accuracy estimates in meta-analyses of published results.

Personomics and Precision Medicine.

The importance of knowing patients as individuals has been highlighted throughout the history of medicine. However, shorter visits, electronic documentation, reliance on technology, and increasing linguistic and cultural differences between patients and physicians create more challenges to effective communication than ever before. Perhaps more concerning is the greater emphasis on aspects of care considered more precisely measurable and quantifiable, the sum of which is sometimes felt to represent the patient better than knowledge of the patient himself. While genomics, proteomics, pharmacogenomics, metabolomics, and epigenomics promise enhanced diagnostics and therapeutics, understanding the unique circumstances of the person - what may be called personomics - is at least as critical to patient care. Such an understanding can only be developed when the relevant psychological, social, cultural, behavioral, and economic factors are obtained. Personomics determines how a disease reveals itself phenotypically and the way that disease and the individual with the disease respond to treatment.

There are no randomized controlled trials that support the United States Preventive Services Task Force Guideline on screening for depression in primary care: a systematic review.

BACKGROUND: The United States Preventive Services Task Force (USPSTF) recommends screening adults for depression in primary care settings when staff-assisted depression management programs are available. This recommendation, however, is based on evidence from depression management programs conducted with patients already identified as depressed, even though screening is intended to identify depressed patients not already recognized or treated. The objective of this systematic review was to evaluate whether there is evidence from randomized controlled trials (RCTs) that depression screening benefits patients in primary care, using an explicit definition of screening. METHODS: We re-evaluated RCTs included in the 2009 USPSTF evidence review on depression screening, including only trials that compared depression outcomes between screened and non-screened patients and met the following three criteria: determined patient eligibility and randomized prior to screening; excluded patients already diagnosed with a recent episode of depression or already being treated for depression; and provided the same level of depression treatment services to patients identified as depressed in the screening and non-screening trial arms. We also reviewed studies included in a recent Cochrane systematic review, but not the USPSTF review; conducted a focused search to update the USPSTF review; and reviewed trial registries. RESULTS: Of the nine RCTs included in the USPSTF review, four fulfilled none of three criteria for a test of depression screening, four fulfilled one of three criteria, and one fulfilled two of three criteria. There were two additional RCTs included only in the Cochrane review, and each fulfilled one of three criteria. No eligible RCTs were found via the updated review. CONCLUSIONS: The USPSTF recommendation to screen adults for depression in primary care settings when staff-assisted depression management programs are available is not supported by evidence from any RCTs that are directly relevant to the recommendation. The USPSTF should re-evaluate this recommendation. Please see related article: http://www.biomedcentral.com/1741-7015/12/14 REGISTRATION: PROSPERO (#CRD42013004276).

Do platelet-derived microparticles play a role in depression, inflammation, and acute coronary syndrome?

BACKGROUND: Major depression is an independent predictor of increased mortality in patients presenting with acute coronary syndromes (ACS). There have been several mechanisms proposed to explain the link between depression and ischemic heart disease. Both abnormal platelet physiology and inflammation have been suggested as potential confounding variables. OBJECTIVE: We set out to examine platelet activation, inflammation, and levels of depression in hospitalized patients presenting with ACS. METHODS: We enrolled 28 patients with ACS and assessed levels of depression by PHQ-9. Platelet activation was assessed by the measurement of platelet microparticle levels and platelet aggregation to adenosine diphosphate and serotonin. Inflammatory markers were assessed by the measurement of TNF alpha, IL-6, and CRP. RESULTS: We found that ACS patients with moderate depressive symptoms who had higher TNF alpha, IL-6, and CRP levels had higher levels of platelet microparticles. We also found that ACS patients with PHQ-9 ≥ 10 had higher platelet aggregation to ADP. CONCLUSION: Our results suggest that patients hospitalized for the treatment of an ACS who have moderate depression have increased platelet aggregation. These patients also have a positive association between elevated inflammatory markers and platelet activation, thus suggesting a pro-inflammatory component in ACS patients with depressive symptoms that may alter platelet function. These results are intriguing in that a potential pathway to explain the connection between depression, inflammation, and increased cardiovascular thrombosis might be found when both platelet activation and inflammation are measured.

Five-factor model personality traits as predictors of incident coronary heart disease in the community: a 10.5-year cohort study based on the Baltimore epidemiologic catchment area follow-up study.

OBJECTIVE: Certain personality and behavioral traits (e.g., type A and type D) have been reported to be associated with development and progression of coronary heart disease (CHD), but few have examined the relationship using a comprehensive assessment of personality along with a structured assessment of psychiatric disorders. METHODS: Based on participants (age: 47.3 ± 12.8; female: 62.6%) of the Baltimore Epidemiologic Catchment Area follow-up study, we examined the relationship between the 5 major domains of personality traits (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and incident CHD between Wave III (1993-1996) and Wave IV (2004-2005). RESULTS: Incident CHD developed in 65 participants during the follow-up. Those with incident CHD had lower on openness (44.06 ± 9.29 vs. 47.18 ± 8.80; p = 0.007) and extraversion (45.98 ± 9.25 vs. 49.12 ± 8.92; p = 0.007) scores than those without. Logistic regression models revealed an inverse association (OR = 0.73; 95% CI = 0.54-0.98) between openness factor z-scores and incident CHD after adjusting for putative confounding factors, including DSM III-R Major Depressive Disorder. CONCLUSION: High openness appears to be an independent protective factor for incident CHD in the community. Future studies should examine behavioral and pathophysiologic mechanisms underlying this association.

In search of serenity: religious struggle among patients hospitalized for suspected acute coronary syndrome.

Hospitalization for a sudden cardiac event is a frightening experience, one that is often marked by uncertainty about health status, fear of recurrent cardiac problems, and related existential, religious, and spiritual concerns. Religious struggle, reflecting tension and strain regarding religious and spiritual issues, may arise in response to symptoms of acute coronary syndrome (ACS). The present study examined the prevalence and types of religious struggle using the Brief RCOPE, as well as associations between religious struggle, psychological distress, and self-reported sleep habits among 62 patients hospitalized with suspected ACS. Fifty-eight percent of the sample reported some degree of religious struggle. Questioning the power of God was the most frequently endorsed struggle. Those struggling religiously reported significantly more symptoms of anxiety, depression, and sleep disturbance. Non-White participants endorsed greater use of positive religious coping strategies and religious struggle. Results suggest that patients hospitalized for suspected ACS experiencing even low levels of religious struggle might benefit from referral to a hospital chaplain or appropriately trained mental health professional for more detailed religious and spiritual assessment. Practical means of efficiently screening for religious struggle during the often brief hospitalization period for suspected ACS are discussed.

Medical School Rankings: Time to End or Time to Amend?

ABSTRACT: The recent decisions of several medical schools to no longer participate in the rankings published annually by U.S. News & World Report have added greater visibility to the issues surrounding medical school rankings than ever before. While these announcements garnered significant attention in academic medicine and from the lay public, the authors believe these events are unlikely to eliminate rankings in medical education. In this article, the authors outline the potential harms of rankings in higher education, provide a rationale for why they will likely endure despite recent scrutiny, and offer suggestions for prospective students and the academic medical community to engage with rankings in a more productive way. Criticisms of medical school rankings have been noted for decades, including their use of subjective information and data with questionable relevance to the quality of students' education or the outcomes of their educational experience, methodological concerns, and the potential harms of ranking systems (such as schools diverting their focus and resources away from initiatives that benefit students to improve their ranking). At the same time, rankings are ubiquitous in today's culture and are powerful in human decision-making, so there is reason to believe that medical school rankings may weather the current storm. Given these concerns, the authors suggest students continue to use a variety of resources to obtain information about medical schools and consider how each school fits with their own educational needs. The authors also encourage medical schools, medical education organizations, and governing medical bodies to suggest different metrics that reflect quality in medical education and that are of importance to applicants.