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Record W2793277081 · doi:10.1097/yct.0000000000000486

Improvements in Health-Related Quality of Life With Electroconvulsive Therapy

2018· review· en· W2793277081 on OpenAlex

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

VenueJournal of Ect · 2018
Typereview
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsPsycINFOConfidence intervalElectroconvulsive therapyQuality of life (healthcare)MedicineDepression (economics)Major depressive disorderMeta-analysisMental healthSF-36Randomized controlled trialStrictly standardized mean differenceMEDLINEHealth related quality of lifeInternal medicineClinical psychologyPsychiatryPsychologyCognitionDisease

Abstract

fetched live from OpenAlex

INTRODUCTION: Although the antidepressant efficacy of ECT is well documented, patient-reported outcomes after this treatment are less well characterized. The aims of the current meta-analysis are to quantify the impact of an acute course of ECT on health-related quality of life (HRQoL) and to identify related moderators, specifically post-ECT depressive symptom remission and patient age. METHODS: We searched PubMed, PsycINFO, and Web of Science databases for randomized and nonrandomized studies that report on changes in HRQoL measures after an acute course of ECT. Only studies that used the Medical Outcomes Study Short Form 36 (SF-36) instrument were included. A random effects model using the Hedges' g effect size was used in calculating the pre-post ECT outcomes on all 8 SF-36 subscales and the SF-36 total scores including the physical and mental composite scores. Subgroup analyses were conducted using remission status and age as moderators. RESULTS: Four studies contributed to this analysis. Significant improvements across all subscales of the SF-36 were observed. Large and very large effect sizes were present for both the SF-36 physical component score (PCS) and mental health component score (MCS), with the change in MCS being statistically superior to the PCS (MCS, Hedges' g = 1.28; 95% confidence interval, 1.15-1.42; PCS, Hedges' g = 0.97; 95% confidence interval, 0.86-1.07). Medium, large, and very large effect sizes were observed for SF-36 subscales scores. Post-ECT depression remission status was related to HRQoL improvement, with statistically significant differences present between remitters and nonremitters for PCS, MCS, and most SF-36 subscale scores. No significant differences were observed in improvement in HRQoL with ECT based on patient age. CONCLUSIONS: An acute course of ECT for depressive symptoms produces medium to very large effect size improvements in HRQoL across multiple components and subscales measured by the SF-36. The magnitude of the effects reported by ECT patients is greater than those that have been reported in other open-label studies of brain stimulation techniques. This study confirms that ECT plays a vital role in the treatment of the most severely ill patients with depressive disorders.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.909
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.094
GPT teacher head0.413
Teacher spread0.319 · 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