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Record W2111638574 · doi:10.1093/eurheartj/ehs003

The impact of prosthesis–patient mismatch on long-term survival after aortic valve replacement: a systematic review and meta-analysis of 34 observational studies comprising 27 186 patients with 133 141 patient-years

2012· review· en· W2111638574 on OpenAlexaff
Stuart J. Head, Mostafa M. Mokhles, Ruben L.J. Osnabrugge, Philippe Pîbarot, Michael J. Mack, Johanna J.M. Takkenberg, Ad J.J.C. Bogers, A. Pieter Kappetein

Bibliographic record

VenueEuropean Heart Journal · 2012
Typereview
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsMedicineObservational studyMeta-analysisProsthesisAortic valve replacementHazard ratioInternal medicineCardiologyAortic valveAdverse effectTerm (time)SurgeryStenosisConfidence interval

Abstract

fetched live from OpenAlex

AIMS: Numerous studies have linked prosthesis-patient mismatch (PPM) after aortic valve replacement (AVR) to adverse outcomes. Its correlation with long-term survival has been described but with contradicting results. This systematic review and meta-analysis of observational studies aims to determine the hazard of PPM after AVR. METHODS AND RESULTS: The Medline and EMBase databases were searched for English-language original publications. Two researchers independently screened studies and extracted data. Pooled estimates were obtained by random effects model. Subgroup analyses were performed to detect sources of heterogeneity. The search yielded 348 potentially relevant studies; 34 were included comprising 27 186 patients and 133 141 patient-years. Defined by the universally accredited indexed effective orifice area <0.85 cm(2)/m(2), 44.2% of patients were categorized as having PPM. In 34.2 and 9.8% of patients moderate (0.65-0.85 cm(2)/m(2)) and severe (<0.65 cm(2)/m(2)) PPM was present, respectively. Prosthesis-patient mismatch was associated with a statistically significant increase in all-cause mortality (HR = 1.34, 95% CI: 1.18-1.51), but only a trend to an increase in cardiac-related mortality (HR = 1.51, 95% CI: 0.88-2.60) was recognized. Analysis by severity of PPM demonstrated that both moderate and severe PPM increased all-cause mortality (HR = 1.19, 95% CI: 1.07-1.33 and HR = 1.84, 95% CI: 1.38-2.45) and cardiac-related mortality (HR = 1.32, 95% CI: 1.02-1.71 and HR = 6.46, 95% CI: 2.79-14.97). Further analyses showed a consistent effect over separate time intervals during follow-up. CONCLUSION: Prosthesis-patient mismatch is associated with an increase in all-cause and cardiac-related mortality over long-term follow-up. We recommend that current efforts to prevent PPM should receive more emphasis and a widespread acceptance to improve long-term survival after AVR.

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)0.012
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.036
Bibliometrics0.0050.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.159
GPT teacher head0.417
Teacher spread0.258 · 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 designMeta-analysis
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

Citations513
Published2012
Admission routes1
Has abstractyes

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