Goundappa K. Balasubramani

Dr. Goundappa K. Balasubramani


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2006 in American Journal of Psychiatry
Verified
Journal Article
Closed access
MTMadhukar Trivedi
Madhukar Trivedi
ARA. John Rush
A. John Rush
SWStephen R. Wisniewski
Stephen R. Wisniewski
ANAndrew A. Nierenberg
Andrew A. Nierenberg
DWDiane Warden
Diane Warden
STSTAR*D Study Team
STAR*D Study Team

1 March 2008 in American Journal of Psychiatry
Verified
Journal Article
Closed access
MFMaurizio Fava
Maurizio Fava
ARA. John Rush
A. John Rush
JAJonathan E. Alpert
Jonathan E. Alpert
GBGoundappa K. Balasubramani
Goundappa K. Balasubramani
SWStephen R. Wisniewski
Stephen R. Wisniewski
MTMadhukar H. Trivedi
Madhukar H. Trivedi

1 October 2007 in American Journal of Psychiatry
Verified
Journal Article
Closed access
SZSidney Zisook
Sidney Zisook
ILIra Lesser
Ira Lesser
JSJonathan W. Stewart
Jonathan W. Stewart
SWStephen R. Wisniewski
Stephen R. Wisniewski
GBGoundappa K. Balasubramani
Goundappa K. Balasubramani
ARA. John Rush
A. John Rush

1 August 2005 in Journal of Affective Disorders
Verified
Journal Article
Closed access
SMSheila M. Marcus
Sheila M. Marcus
EYElizabeth A. Young
Elizabeth A. Young
KKKevin B. Kerber
Kevin B. Kerber
SKSusan Kornstein
Susan Kornstein
AFAmy H. Farabaugh
Amy H. Farabaugh
ARA. John Rush
A. John Rush

21 October 2004 in Psychological Medicine
Verified
Journal Article
Closed access
PDF file
MFMaurizio Fava
Maurizio Fava
JAJonathan E. Alpert
Jonathan E. Alpert
CCCheryl N. Carmin
Cheryl N. Carmin
SWStephen R. Wisniewski
Stephen R. Wisniewski
MTMadhukar H. Trivedi
Madhukar H. Trivedi
ARA. John Rush
A. John Rush
Background. Anxious depression, defined as Major Depressive Disorder (MDD) with high levels of anxiety symptoms, may represent a relatively common depressive subtype, with distinctive features.Objective. The objective of this study was to determine the prevalence of anxious depression and to define its clinical correlates and symptom patterns.Method. Baseline clinical and sociodemographic data were collected on 1450 subjects participating in the STAR*D study. A baseline Hamilton Rating Scale for Depression (HAM-D) Anxiety/Somatization factor score of [ges ]7 was considered indicative of anxious depression. The types and degree of concurrent psychiatric symptoms were measured using the Psychiatric Diagnostic Screening Questionnaire (PDSQ), by recording the number of items endorsed by study participants for each diagnostic category. MDD symptoms were assessed by clinical telephone interview with the 30-item Inventory of Depressive Symptomatology (IDS-C30).Results. The prevalence of anxious depression in this population was 46%. Patients with anxious MDD were significantly more likely to be older, unemployed, less educated, more severely depressed, and to have suicidal ideation before and after adjustment for severity of depression. As far as concurrent psychiatric symptoms are concerned, patients with anxious depression were significantly more likely to endorse symptoms related to generalized anxiety, obsessive compulsive, panic, post-traumatic stress, agoraphobia, hypochondriasis, and somatoform disorders before and after adjustment for severity of depression. Anxious-depression individuals were also significantly less likely to endorse IDS-C30 items concerning atypical features, and were significantly more likely to endorse items concerning melancholic/endogenous depression features.Conclusion. This study supports specific clinical and sociodemographic correlates of MDD associated with high levels of anxiety (anxious depression).

1 March 2006 in Journal of Psychiatric Practice
Verified
Journal Article
Closed access
SWStephen R. Wisniewski
Stephen R. Wisniewski
ARA. John Rush
A. John Rush
GBGoundappa K. Balasubramani
Goundappa K. Balasubramani
MTMadhukar H. Trivedi
Madhukar H. Trivedi
ANAndrew A. Nierenberg
Andrew A. Nierenberg
No standard side-effect measure currently available can be easily used in clinical practice for patients receiving treatment for depression. The Frequency, Intensity, and Burden of Side Effects Rating (FIBSER) Scale was developed to document these three domains of side effects in patients treated in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) project. This article presents data on the reliability and validity of the FIBSER. The STAR*D prospectively enrolled 4,041 outpatients with nonpsychotic major depressive disorder (MDD) who were seeking medical care (as opposed to symptomatic volunteers recruited via advertisements). The patients were treated with citalopram. Clinical assessments, including the FIBSER, were completed at 2, 4, 6, 9, 12, and, if necessary, 14 weeks after enrollment. The FIBSER was shown to be reliable, with high correlations between observations taken a short time apart, and correlations decreasing as time between observations increased. There were also consistent relationships between items over time. The FIBSER has both face and construct validity. Thus, the FIBSER is a reliable and valid self-report measure of side effects in a population receiving treatment for depression. Although it does not measure the impact of specific side effects, it does measure three domains of impact: frequency, intensity, and burden of the side effects. Its brevity makes it a useful tool for routine clinical practice. These advantages are not available in other side-effect measures.