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Record W1957244283 · doi:10.1556/oh.2011.29065

Role of cardiovascular disorders in quality of life after total hip replacement

2011· article· en· W1957244283 on OpenAlexaboutno aff
Edit Király, Tibor Gondos

Bibliographic record

VenueOrvosi Hetilap · 2011
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACFeelingQuality of life (healthcare)Total hip replacementCohortPhysical therapyRetrospective cohort studyInternal medicineOsteoarthritisSurgeryAlternative medicineNursingPsychology

Abstract

fetched live from OpenAlex

UNLABELLED: This cohort, retrospective study, in the Jávorszky Ödön Hospital, Vác, Hungary, involved 109 patients after total hip replacement. METHODS: The applied questionnaires included the EQ-5D health-related quality of life scores, the Western Ontario and McMaster Universities Ostoearthritis Index (WOMAC) scores, the preoperative and the postoperative 5th year health characteristics. The severity of co-morbidities was graded in respect of clinical signs and pharmacological treatment. RESULTS: The WOMAC values significantly improved in the examination period. However - in spite of the changes in EQ-5D -, it had no influence on adherence of feeling sick after total hip replacement. Among the co-morbidities, the cardiovascular diseases had a distinguished role because their prevalence and deterioration showed a close relationship with the subjective health-feeling of the patients. CONCLUSION: According to our study, we have to consider that in case of significant hypertension, ischemic heart diseases or chronic heart failure even the successful surgery will not improve the general sick-feeling of the 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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.249
Teacher spread0.231 · 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".

Quick stats

Citations1
Published2011
Admission routes1
Has abstractyes

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