Prevalence of depression in cancer patients: a meta-analysis of diagnostic interviews and self-report instruments.
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ABSTRACT: Objective
We aimed to investigate the prevalence of depression in cancer patients assessed by diagnostic interviews and self-report instruments, and to study differences in prevalence between type of instrument, type of cancer and treatment phase.Methods
A literature search was conducted in four databases to select studies on the prevalence of depression among adult cancer patients during or after treatment. A total of 211 studies met the inclusion criteria. Pooled mean prevalence of depression was calculated using Comprehensive Meta-Analysis.Results
Hospital Anxiety and Depression Scale-depression subscale (HADS-D)???8, HADS-D ?11, Center for Epidemiologic Studies???16, and (semi-)structured diagnostic interviews were used to define depression in 66, 53, 35 and 49 studies, respectively. Respective mean prevalence of depression was 17% (95% CI?=?16-19%), 8% (95% CI?=?7-9%), 24% (95% CI?=?21-26%), and 13% (95% CI?=?11-15%) (p?ConclusionsPooled mean prevalence of depression in cancer patients ranged from 8% to 24% and differed by the type of instrument, type of cancer and treatment phase. Future prospective studies should disentangle whether differences in prevalence of depression are caused by differences in the type of instrument, type of cancer or treatment phase. © 2013 The Authors. Psycho-Oncology published by John Wiley & Sons, Ltd.
SUBMITTER: Krebber AM
PROVIDER: S-EPMC4282549 | biostudies-literature | 2014 Feb
REPOSITORIES: biostudies-literature
Publications
Prevalence of depression in cancer patients: a meta-analysis of diagnostic interviews and self-report instruments.
Krebber A M H AM Buffart L M LM Kleijn G G Riepma I C IC de Bree R R Leemans C R CR Becker A A Brug J J van Straten A A Cuijpers P P Verdonck-de Leeuw I M IM
Psycho-oncology 20130916 2
<h4>Objective</h4>We aimed to investigate the prevalence of depression in cancer patients assessed by diagnostic interviews and self-report instruments, and to study differences in prevalence between type of instrument, type of cancer and treatment phase.<h4>Methods</h4>A literature search was conducted in four databases to select studies on the prevalence of depression among adult cancer patients during or after treatment. A total of 211 studies met the inclusion criteria. Pooled mean prevalenc ...[more]
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| S-EPMC6427845 | biostudies-other
Project description:BackgroundSelf-report screening instruments are frequently used as scalable methods to detect common mental disorders (CMDs), but their validity across cultural and linguistic groups is unclear. We summarized the diagnostic accuracy of brief questionnaires on symptoms of depression, anxiety and posttraumatic stress disorder (PTSD) among Arabic-speaking adults.MethodsFive databases were searched from inception to 22 January 2021 (PROSPERO: CRD42018070645). Studies were included when diagnostic accuracy of brief (maximally 25 items) psychological questionnaires was assessed in Arabic-speaking populations and the reference standard was a clinical interview. Data on sensitivity/specificity, area under the curve, and data to generate 2 × 2 tables at various thresholds were extracted. Meta-analysis was performed using the diagmeta package in R. Quality of studies was assessed with QUADAS-2.ResultsThirty-two studies (N participants = 4042) reporting on 17 questionnaires with 5-25 items targeting depression/anxiety (n = 14), general distress (n = 2), and PTSD (n = 1) were included. Seventeen studies (53%) scored high risk on at least two QUADAS-2 domains. The meta-analysis identified an optimal threshold of 11 (sensitivity 76.9%, specificity 85.1%) for the Edinburgh Postnatal Depression Scale (EPDS) (n studies = 7, n participants = 711), 7 (sensitivity 81.9%, specificity 87.6%) for the Hospital Anxiety and Depression Scale (HADS) anxiety subscale and 6 (sensitivity 73.0%, specificity 88.6%) for the depression subscale (n studies = 4, n participants = 492), and 8 (sensitivity 86.0%, specificity 83.9%) for the Self-Reporting Questionnaire (SRQ-20) (n studies = 4, n participants = 459).ConclusionWe present optimal thresholds to screen for perinatal depression with the EPDS, anxiety/depression with the HADS, and CMDs with the SRQ-20. More research on Arabic-language questionnaires, especially those targeting PTSD, is needed.
| S-EPMC8679833 | biostudies-literature
Project description:BackgroundDifferent 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.MethodData 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.ResultsA 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).ConclusionsThe 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.
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Project description:The validity of physical activity (PA) self-report measures can be a problem when using these measures with target populations that differ from the population for which the measures were originally developed.Describe an approach to further tailor PA self-report measures to a target community, and report on focus group and cognitive interview findings.Topics relevant to culturally tailoring measures are discussed, including translation, focus groups, and cognitive interviews. We describe examples from our own work, including focus groups and cognitive interviews conducted to assess Latinos' interpretations of PA questions derived from various epidemiological surveys that were developed in White communities.Findings from focus groups and cognitive interviews provide valuable information about the comprehension, interpretation, and cultural relevance of the PA questions to Latino communities.It is recommended that investigators collect formative data to better assess the equivalence of items being applied to a different cultural group. Guidelines for cultural attunement of self-report instruments are described to promote more uniform and rigorous processes of adaptation and facilitate cross-cultural investigations.
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Project description:INTRODUCTION:Depression is a common mental disorder in the elderly population, which significantly impacts their quality of life. However, correct estimates of its magnitude are not available in the elderly in India. The present systematic review and meta-analysis would attempt to estimate the prevalence of depression using diagnostic instruments among elderly persons aged 60 years and above. METHODS AND ANALYSIS:Searches will be performed in PubMed, Scopus, Embase, Web of Science, CINAHL and PsycINFO. Community-based cross-sectional and cohort studies (2001 to September 2019) reporting the prevalence of depression in the elderly, using diagnostic instruments will be included. Studies conducted among chronic disease patients, in-hospital patients and special groups such as with disaster-stricken populations, and studies reporting the only one or two subcategories of depression, will be excluded. Disagreements in study selection and data abstraction will be resolved by consensus and arbitration by a third reviewer. AXIS critical appraisal tool will be used for quality assessment of individual studies. Findings of eligible studies will be pooled using fixed-effects or random-effects meta-analysis whichever is appropriate. Heterogeneity between studies will be examined by Cochran's Q test and quantified by I² statistic. A cumulative meta-analysis will be used to detect temporal trends in the prevalence of depression and the effect of poor-quality studies on the pooled estimate. Publication bias will be assessed by visual inspection of funnel plots and the Egger test. ETHICS AND DISSEMINATION:No ethical approval will be needed because it will be a systematic review. Data from previously published studies will be retrieved and analysed. Findings will be disseminated through a peer-reviewed publication in a scientific journal and conferences. PROSPERO REGISTRATION NUMBER:CRD42019138453.
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Project description:BackgroundBipolar disorder (BD) and borderline personality disorder (BPD) share overlapping phenomenology and are frequently misdiagnosed. This study investigated the diagnostic accuracy of the Mood Disorder Questionnaire (MDQ) and McLean Screening Instrument for Borderline Personality Disorder (MSI) in a clinical inpatient setting and whether individual screening items could differentiate BD from BPD.Methods757 sequential inpatients admitted to a Mood Disorder Unit completed both the MDQ and MSI. Screen positive for the MDQ was defined as ≥7/13 symptoms endorsed with concurrence and at least moderate impact. Screen positive for the MSI was defined as a score of ≥7. The clinical discharge summary diagnosis completed by a board-certified psychiatrist was used as the reference standard to identify concordance rates of a positive screen with clinical diagnosis. Individual items predicting one disorder and simultaneously predicting absence of other disorder by odds ratio (OR>and <1) were identified.ResultsBoth screening instruments were more specific than sensitive (MDQ 83.7%/ 67.8%, MSI 73.2% / 63.3%). MDQ individual items (elevated mood, grandiosity, increased energy, pressured speech, decreased need for sleep, hyperactivity) were significant predictors of BD diagnosis and non-predictors of BPD diagnosis. Whereas MSI subitem, self-harm behaviors/suicidal attempts predicted BPD in the absence of BD; distrust and irritability were additional predictors of BPD.ConclusionWhile this study is limited by the lack of structured diagnostic interview, these data provide differential symptoms to discriminate BD and BPD. Further work with larger datasets and more rigorous bioinformatics machine learning methodology is encouraged to continue to identify distinguishing features of these two disorders to guide diagnostic precision and subsequent treatment recommendations.
| S-EPMC8323027 | biostudies-literature
Project description:OBJECTIVES:A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for depressive symptoms on the basis of the Patient Health Questionnaire-9. We aimed to determine whether similar results would be seen in a different population, using studies that administered the Edinburgh Postnatal Depression Scale (EPDS) in pregnancy or postpartum. METHODS:Data accrued for an EPDS diagnostic accuracy IPDMA were analysed. Binomial generalised linear mixed models were fit to compare depression classification odds for the Mini International Neuropsychiatric Interview (MINI), Composite International Diagnostic Interview (CIDI), and Structured Clinical Interview for DSM (SCID), controlling for EPDS scores and participant characteristics. RESULTS:Among fully structured interviews, the MINI (15 studies, 2,532 participants, 342 major depression cases) classified depression more often than the CIDI (3 studies, 2,948 participants, 194 major depression cases; adjusted odds ratio [aOR] = 3.72, 95% confidence interval [CI] [1.21, 11.43]). Compared with the semistructured SCID (28 studies, 7,403 participants, 1,027 major depression cases), odds with the CIDI (interaction aOR = 0.88, 95% CI [0.85, 0.92]) and MINI (interaction aOR = 0.95, 95% CI [0.92, 0.99]) increased less as EPDS scores increased. CONCLUSION:Different interviews may not classify major depression equivalently.
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Project description:BackgroundAim of this study was to estimate the prevalence rate of depression in cancer patient caregivers and to identify factors affecting depression and quality of life of cancer caregivers.MethodsRelevant research articles were retrieved after literature search in several electronic databases. Random effects meta-analyses were performed to obtain pooled estimates of the prevalence rates of depression and anxiety; their respective scores, and quality of life scores. Significant relationships between depression and factors related to depression and quality of life reported in individual studies were identified.ResultsThirty studies were included. Overall, 21,149 caregivers were appraised in these studies (age 52.65 years [95% CI: 49.65, 55.65]; 31.14% [28.40, 33.89] men). The prevalence of depression and anxiety were 42.30% [33.31, 51.29] % and 46.55% [35.59, 57.52], respectively. Quality of life score, as measured with Caregiver Quality of Life-Cancer scale was 64.55 [47.44, 81.66]. Patient's condition, caregiving burden, duration of caregiving, spouse caregiver, caregiver being unemployed, caregiver with chronic disease, caregiver's sleep quality, caregiver's avoidance, financial problems, and female sex were positively associated with depression whereas overall quality of life of caregiver, pre-loss grief, caregiver's education level, caregiver's age, caregiver's sense of coherence, and caregiver's bondage with patient were negatively associated with depression in caregivers.ConclusionA considerably high prevalence of depression is found in cancer patient caregivers. Several factors may affect depression and their quality of life of cancer patient caregivers.
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Project description:Background and aimsThe accuracy of current screening instruments for identification of substance use in pregnancy is unclear, particularly given methodological shortcomings in existing research. This diagnostic accuracy study compared five existing instruments for ability to identify illicit drug, opioid and alcohol use, under privacy expectations consistent with applied practice and using a gold standard incorporating toxicological analysis.DesignProspective cross-sectional screening accuracy study.SettingThree sites encompassing four prenatal care clinics in the United States.ParticipantsConvenience sample of 1220 racially, ethnically and socio-economically diverse pregnant women aged 18 years and over.MeasurementsIn Phase I, participants completed the five screening instruments in counterbalanced order. Instruments included the Substance Use Risk Profile-Pregnancy (SURP-P), CRAFFT (acronym for five-item screener with items related to car, relax, alone, forget, friends and trouble), 5Ps (parents, peers, partner, pregnancy, past), Wayne Indirect Drug Use Screener (WIDUS) and the National Institute on Drug Abuse (NIDA) Quick Screen. In Phase II, participants provided a urine sample and completed a calendar recall-based interview regarding substance use. These screeners were tested, using receiver operating characteristic (ROC) analysis and accuracy statistics, against a reference standard consisting of substance use in three classes (illicit drugs, opioids and alcohol), considered positive if use was evident via 30-day calendar recall or urine analysis.FindingsThree hundred and fifteen of 1220 participants (26.3%) met reference standard criteria for positivity. The single-item screening questions from the NIDA Quick Screen showed high specificity (0.99) for all substances, but very poor sensitivity (0.10-0.27). The 5Ps showed high sensitivity (0.80-0.88) but low specificity (0.35-0.37). The CRAFFT, SURP-P and 5Ps had the highest area under the curve (AUC) for alcohol (0.67, 0.66 and 0.62, respectively), and the WIDUS had the highest AUC for illicit drugs and opioids (0.70 and 0.69, respectively). Performance of all instruments varied significantly with race, site and economic status.ConclusionsOf five screening instruments for substance use in pregnancy tested (Substance Use Risk Profile-Pregnancy (SURP-P), CRAFFT, 5Ps, Wayne Indirect Drug Use Screener (WIDUS) and the National Institute on Drug Abuse (Quick Screen), none showed both high sensitivity and high specificity, and area under the curve was low for nearly all measures.
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