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Record W2235607867

ANALYSIS OF SUICIDAL ATTEMPTS INSCHIZOPHRENICS" N ASRAM HOSPITAL, ELURU

2015· article· en· W2235607867 on OpenAlexaboutno aff
Syed Ahammad Basha.G, R. Somasundara Babu

Bibliographic record

VenueIndian Journal Of Applied Research · 2015
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)PsychiatryMedicineOutpatient clinicSuicide attemptDiagnosis of schizophreniaMajor depressive disorderSuicide preventionClinical psychologyPsychologyPoison controlPsychosisMedical emergencyInternal medicineMood
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES Schizophrenia is a complex neurobehavioral disorder that appears to be closely associated with suicidal behavior. Suicide is a major cause of premature death among patients suffering from schizophrenia.The present study is carried to study the frequency of suicide attempts in persons with schizophrenia and to compare various clinical and socio demographic variables of patients suffering from schizophrenia with and without suicide attempts, in search of possible risk factors for suicide in schizophrenia. METHODOLOGY 100 consecutive patients suffering from schizophrenia based on ICD-10 diagnostic criteria,fulfilling inclusion and exclusion criteria, attending the outpatient department were studied using Semi-structured proforma, SAPS, SANS,CDSS,Beck’s Suicide intent scale and clinical interview.The study is a cross sectional descriptive study.Statistical analysis was done using the chi-square test and the unpaired t-test. RESULTS Out of 100 patients studied, 27% had attempted suicide(n=27). Individuals who had a family history of suicide,prominent positive symptoms and depressive features,who were in their early stages of illness(first few years), had more suicidal attempts compared to those who did not have. We did not find any significant association between the various demographic variables,subtype of illness,negative symptoms,duration of illness, and the suicidal behavior. CONCLUSIONS People suffering from schizophrenia are at a highrisk for making suicidal attempts, especially when the illness is acute and severe, in early stages, when accompanied by depressive symptoms. Early identification of risk factors and employment of possible preventive strategies,and effective monitoring of treatment would definitely make us keep a step towards meeting one of the greatest unmet challenges in psychiatry, “Suicide inSchizophrenia.” LIST OF ABBREVIATIONS CDSS Calgary Depression rating scale for schizophrenia D-FEN D fenfluramine DST Dexamethasone suppression test EEG ElectroEncephaloGraphy EPS Extrapyramidal symptoms 5-HTR Serotonin receptor 5-HTTgene Serotonin transporter gene IL-6 Interleukin 6 MAO A Monoamineoxidase A PRL Prolactin REM Rapid Eye Movement sleep SANS Scale for assessment of negative symptoms SAPS Scale for assessment of positive symptoms SNP Single nucleotide polymorphism TPH 1 Tryptophan hydroxylase1 gene INTRODUCTION Schizophrenia is a complex neurobehavioral disorder that appears to be closely associated with suicidal behavior. Schizophrenia is associated with an excess premature mortality, up to 40% of this excess premature mortality can be attributed to suicide and unnatural deaths1. Suicide is a major cause of premature death among patients suffering from schizophrenia2,3. It reduces the life expectancy of those afflicted by approximately 10 years. About 25% of schizophrenic patients make at least one suicide attempt in their lifetime People with schizophrenia are known to die much earlier than expected5.Lifetime suicide risk is 4.9% for people with schizophrenia6. Detection of those at risk is clinically important, but risk prediction is known to be imprecise7. Inskip et al performed a meta-analysis on suicide among patients with affective disorder, alcoholism, and schizophrenia, and estimated that the lifetime risk of suicide was 4% for schizophrenia an estimate for schizophrenia that is consistent with the estimate of Palmer et al10.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.123
GPT teacher head0.462
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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