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Record W2346088802 · doi:10.14740/cr462w

Interesting Correlation Between the Circulating Pentraxin 3 and Cardiac Rehabilitation Program Outcomes in Coronary Artery Bypass Grafting Patients

2016· article· en· W2346088802 on OpenAlexvenueno aff
Habib Haybar, Babak Payami, Isa Khaheshi, Yasaman Ghotbi, Seyed Mahmoud Latifi, Ahmadreza Assareh

Bibliographic record

VenueCardiology Research · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiomarkers in Disease Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBypass graftingCardiologyInternal medicineRehabilitationArteryGraftingPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Pentraxin 3 (PTX3) is an inflammatory mediator, reaches to the high levels after ischemic heart diseases (IHD) and could be a helpful tool to predict cardiac rehabilitation (CR) outcomes. The aim of this study was to investigate the possibility of the circulating levels of PTX3 in prediction of CR outcomes in patients with IHD who had undergone coronary artery bypass grafting (CABG). METHODS: One hundred patients who had undergone CABG were included in this study. The CR plan was started 6 weeks after CABG and then PTX3 level, high-sensitivity C-reactive protein (hs-CRP), ejection fraction (EF) and metabolic equivalent (MET) were assessed before and after the CR program. Finally, all gathered data were analyzed using SPSS version 22. RESULTS: After a 3-month course of CR program, EF, MET, PTX3 and hs-CRP values changed. Statistically significant changes were observed in EF, MET and PTX3 values (P < 0.05) after the CR program and no statistically significant changes were seen in hs-CRP value (P = 0.546) at the end of CR program. Correlations between EF levels and MET with pre-PTX3 levels were also assessed and most changes were observed in the group with pre-PTX3 level more than 0.40 ng/dL. CONCLUSION: Our study showed that a regular sufficient CR program based on exercises in IHD patients after CABG increases EF and MET levels, particularly in those patients with pre-PTX3 levels more than 0.40 ng/dL.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.076
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.330
Teacher spread0.293 · 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.

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

Citations4
Published2016
Admission routes1
Has abstractyes

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