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Record W1969571577 · doi:10.4088/pcc.10m01063

Prevalence and Treatment of Depression in Children and Adolescents With Sickle Cell Disease

2011· article· en· W1969571577 on OpenAlex
Jeanette M. Jerrell, Avnish Tripathi, Roger S. McIntyre

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Primary Care Companion For CNS Disorders · 2011
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineDepression (economics)CohortAcute chest syndromeDiseasePediatricsSickle cell anemiaRetrospective cohort studyCohort studyPsychiatryMajor depressive disorderInternal medicineMood

Abstract

fetched live from OpenAlex

Article Abstract Objective: To describe the prevalence and treatment of comorbid depressive disorders in children and adolescents diagnosed with sickle cell disease. Method: A retrospective cohort design evaluating South Carolina Medicaid medical and pharmacy claims between January 1, 1996, and December 31, 2006, was employed to identify 2,194 children and adolescents aged 17 years and younger diagnosed with sickle cell disease. Cohorts diagnosed with and without comorbid unipolar depressive disorders (using DSM-IV-TR criteria) were then compared. Results: Forty-six percent of the sickle cell disease cohort was diagnosed with a depressive disorder (n = 1,017), either dysthymia (90%) or major depressive disorder (10%). Dysthymia was diagnosed at approximately 9 years of age, whereas major depressive disorder was diagnosed at approximately 14 years of age. Compared with the controls, the sickle cell disease cohort with depression had more acute vaso-occlusive pain and acute chest syndrome visits per year, developed more complications with related organ damage, and incurred significantly higher outpatient, acute (emergency + inpatient), and total sickle cell disease care costs. The depression cohort was primarily treated with selective serotonin reuptake inhibitors (SSRIs; 12%) or serotonin-norepinephrine reuptake inhibitors (SNRIs; 10%) for approximately 9 months. Although alleviating the comorbid depression might positively affect their sickle cell disease pain, over 80% of the patients received no antidepressant medications, and many of the prescribed SSRIs and SNRIs have previously shown no impact on relieving chronic pain. Conclusions: Comorbid depression in sickle cell disease is associated with adverse course and outcomes. These findings underscore the need for earlier and more aggressive treatment of comorbid depression by primary care or psychiatric providers in order to reduce the chronic, severe pain-depression burden on these patients. Prim Care Companion CNS Disord 2011;13(2):e1-e7 Submitted: August 2, 2010; accepted September 22, 2010. Published online: March 10, 2011 (doi:10.4088/PCC.10m01063). Corresponding author: Jeanette M. Jerrell, PhD, Department of Neuropsychiatry and Behavioral Science, University of South Carolina School of Medicine, 3555 Harden St Ext, CEB 301, Columbia, SC 29203 (Jeanette.Jerrell@uscmed.sc.edu).

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.

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)0.000
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 score0.010
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.207
Teacher spread0.199 · 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