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Record W2462443477

[Immediate and mid-term results following coronary stent implantation in diabetic patients].

2002· article· en· W2462443477 on OpenAlexaboutno aff
Palomo Villada Ja, Reyes Cisneros F, Montoya Silvestre A, Farell Campa J, Abundes Velasco A, Ruanova León D

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMyocardial infarctionCardiologyInternal medicineDiabetes mellitusEjection fractionStentPercutaneous transluminal coronary angioplastyThrombosisAnginaUnstable anginaAngioplastySurgeryHeart failure
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: We analyzed the clinical and angiographic outcome, including follow-up, in diabetic, patients treated with percutaneous transluminal coronary angioplasty (PTCA) and stenting. MATERIAL AND METHODS: Between January 1995 and December 1999, 770 patients were treated with PTCA, 137 of them with diabetes (DM), 17.7% received 160 stents, average 1.16 stent/patient. Mean age was 58.70 +/- 8.44 years (range 35 to 80 years) and there were 92 men and 45 women. According to the clinical presentation, there were 54% with severe angina based on criteria from the Canadian Cardiovascular Society (CCS). Sixty two percent of patients had prior myocardial infarction and 68% had multivessel disease. Mean vascular obstruction was 90 +/- 6.3% and the ejection fraction was 45.3 +/- 8.7%. RESULTS: The immediate angiographic success was 94.4% in patients with DM. There were complications in 8.4% (acute myocardial infarction, and thrombosis). The average follow-up was 10 mouths (range 6 to 36) in 94% of the cases. The mortality was 4.3%. CONCLUSIONS: These results show that PTCA and stenting in patients with DM is a successful procedure, with few clinical and angiographics complications.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.024
GPT teacher head0.208
Teacher spread0.184 · 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".

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Citations0
Published2002
Admission routes1
Has abstractyes

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