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Record W2904601156

Psychiatric morbidity in patients with chronic kidney disease: A cross sectional study

2018· dissertation· en· W2904601156 on OpenAlexaboutno aff
M Tamilselvi

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicFamily Caregiving in Mental Illness
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHamilton Anxiety Rating ScaleAnxietyPsychiatryTransplantationKidney diseaseMini-international neuropsychiatric interviewQuality of life (healthcare)Cross-sectional studyHemodialysisDepression (economics)Internal medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: Chronic kidney disease is a public health problem that has serious impact on quality of patient’s life. The aim of this study is to assess the prevalence of psychiatric morbidity in patients with chronic kidney disease and to assess the support systems, functional level, treatment adherence in relation to psychiatric illness and the nature and severity of psychiatric manifestations in patients with CKD on various treatment groups. METHODS AND MATERIALS: In this cross sectional observation study, 110 consecutive patients getting various treatments (conservative treatment, hemodialysis, renal transplantation) at nephrology department in Govt. Kilpauk Medical College, fulfilling the inclusion and exclusion criteria were included. Symptom Check List 90 to screen for psychiatric disorders applied, ICD 10 guidelines used for diagnosis of psychiatric disorders, Hamilton Depression rating scale and Hamilton Anxiety rating scale used for assessing the severity of depressive and anxiety disorders respectively. Severity of alcohol dependence questionnaire score was used to assess the severity of alcohol dependence. Montreal cognitive assessment was used for assessing cognitive functions. Multidimensional scale of perceived social support system, Karnofsky performance scale were also applied for assessing the support system, functional ability respectively. RESULTS: Of 110 patients, 36.4% (n=40) were in conservative treatment, 31.8% (n= 35) were in hemodialysis, 31.8% (n=35) were in renal transplantation. 47 (42.7%) had at least one psychiatric illness. Among the patients with psychiatric illness, Depressive disorder was present in 18 (38.3%) patients and 1 patient (2.1%) had depressive disorder with psychotic symptoms, 3 (6.4%) had anxiety disorder, 15 (31.9%) had adjustment disorder, 7 (14.9%) had alcohol dependence syndrome, 3 (6.4%) had psychosis. Among groups 21 (52.5%) patients in conservative treatment, 15 (42.9%) patients in hemodialysis, 11 (31.4%) post renal transplantation patients had psychiatric illness. Regarding support system, 68.6% had high social support in renal transplantation, but 45.7% , 40% in hemodialysis and in conservative treatment respectively. Regarding functional ability all 35 (100%) patients in post renal transplantation are able to do normal activities as previously. Whereas only 75%, 65.7% patients able to carry on normal activities in conservative and hemodialysis treatment respectively. Patients in renal transplantation had high treatment adherence than other 2 groups. CONCLUSION: This study has been helpful in understanding the psychiatric illness among the CKD patients.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.325
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), 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
Published2018
Admission routes1
Has abstractyes

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