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Record W2116516478 · doi:10.1136/eb-2012-101036

Aerobic exercise reduces depressive symptoms in patients with chronic heart failure

2013· letter· en· W2116516478 on OpenAlexaboutno aff
Rebecca Gary

Bibliographic record

VenueEvidence-Based Mental Health · 2013
Typeletter
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsAerobic exerciseHeart failureMedicineCardiologyDepressive symptomsInternal medicinePhysical therapyPhysical medicine and rehabilitationPsychiatryCognition

Abstract

fetched live from OpenAlex

Question: Does exercise training reduce depressive symptoms in patients with chronic heart failure compared with guideline-based usual care? Patients: 2322 Stable patients with chronic heart failure participating in the Heart Failure—A Controlled Trail Investigating Outcomes of Exercise Training (HF-ACTION) trial who completed the Beck Depression Inventory II (BDI-II) at baseline. Possible BDI-II scores range from 0 to 63; scores of ≥14 were considered clinically significant depressive symptoms. Among participants, BDI-II scores ranged from 0 to 59 (median 8), and 28% had clinically significant depressive symptoms. Setting: 82 Medical centres in the USA, Canada and France; April 2003 to February 2007. Intervention: Aerobic exercise versus usual care alone. Participants randomised to aerobic exercise were provided with a treadmill or exercise bicycle and received three supervised exercise sessions per week for 3 months (90 min/week), transitioning to home-based unsupervised exercise (goal 120 min/week) for the next 9 months. Usual care participants were not given a formal exercise prescription. All participants received self-management educational materials and regular follow-up phone calls. Outcomes: Change in depressive symptoms after 3 months exercise (primary outcome, end of the …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.447
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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