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Record W2047524887 · doi:10.1136/ebmh.5.4.124

Review: no definite conclusions can be drawn as to the effect of psychological factors in congestive heart failure

2002· letter· en· W2047524887 on OpenAlexaff
Wolfgang von der Linden

Bibliographic record

VenueEvidence-Based Mental Health · 2002
Typeletter
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHeart failureAnxietyDepression (economics)MedicineCoping (psychology)Internal medicineSocial supportWeb of scienceCardiologyClinical psychologyPsychiatryPsychologyPsychotherapistMeta-analysis

Abstract

fetched live from OpenAlex

MacMahon KM, Lip GY. Psychological factors in heart failure: a review of the literature. Arch Intern Med2002 Mar 11 ; 162 : 509 –16. [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: What are the effects of depression, anxiety, coping style, and level of social support in patients with congestive heart failure (CHF)? Studies were identified by searching Medline, EMBASE/Excerpta Medica, and PsycLIT (1965–2000) using the terms congestive heart failure, depression, anxiety, social support, coping styles, and psychology; and scanning the reference lists of identified studies. Studies were selected if they included patients ≥18 years of age with CHF due to any underlying cause and addressed issues of depression, anxiety, or social support. Studies in which disease comorbidity was insufficiently distinguished in the analysis were excluded. Data were extracted on patient demographics; cardiology status; measurement instruments; and study eligibility, quality, and outcomes. 12 studies met the selection criteria. 4 longitudinal studies investigated depression in CHF. 1 study found that after 1 year a statistically non-significant trend existed with higher mortality in patients with depression and CHF (50%) than in … [1]: {openurl}?query=rft.jtitle%253DArchives%2Bof%2BInternal%2BMedicine%26rft.stitle%253DArch%2BIntern%2BMed%26rft.aulast%253DMacMahon%26rft.auinit1%253DK.%2BM.%2BA.%26rft.volume%253D162%26rft.issue%253D5%26rft.spage%253D509%26rft.epage%253D516%26rft.atitle%253DPsychological%2BFactors%2Bin%2BHeart%2BFailure%253A%2BA%2BReview%2Bof%2Bthe%2BLiterature%26rft_id%253Dinfo%253Adoi%252F10.1001%252Farchinte.162.5.509%26rft_id%253Dinfo%253Apmid%252F11871918%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/archinte.162.5.509&link_type=DOI [3]: /lookup/external-ref?access_num=11871918&link_type=MED&atom=%2Febmental%2F5%2F4%2F124.atom [4]: /lookup/external-ref?access_num=000174270400002&link_type=ISI

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)0.008
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.037
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.004
Bibliometrics0.0080.012
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0040.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0260.004

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 head0.062
GPT teacher head0.379
Teacher spread0.317 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2002
Admission routes1
Has abstractyes

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