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Record W1506237393 · doi:10.47144/phj.v15i1.448

Long Survival in Dissecting Aneurysm of the Ascending Aorta

2012· article· en· W1506237393 on OpenAlexaboutno aff
Abdus Samad, Faruqui A.M.A, Iftikhar S.A.R, M. Rehman, Mawada K.B. Shareef, Syed S.A

Bibliographic record

VenuePakistan Heart Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAscending aortaAneurysmAortic valve replacementAortic dissectionSurgeryAortaAortic aneurysmCardiologyInternal medicineStenosis

Abstract

fetched live from OpenAlex

Dissecting aneurysm of the aorta, more recently known as aortic distio is a highly lethal COflditiofl. 1 With the availability improved diagnostic modalities, medical and surgical therapy since 1960, the survical has improved significantly.23.  Hc was started on antihypertensive trcat ment to which he responded well. However, after one year he was operated on at Toronto ()fl November 27, 1981. The diagnosis of Aortic dissection ascending aorta (Type II) was conf irmed. He underwent aortic valve replacement and ascending aortic graft with reimplantation of both coronary arteries.  Discussion: Najafi uses the term Anterior fir the proxi- mal and posterior for distal dissections. As shown figure 1(A) the intimal tear is very well seen just distal to the aortlc valve and dye is seen entering into the huge, dilated false lumen. The results of surgery depend upon acuteness of the process and replacement of the aoitic arch versus replacement of the ascending aorta. In the series of Cachera et al 9 there 0% hospital mortality for stable Pat1C1tS while 24% fbr acutely ill patients. The presence of shock, tamponade, C.V.A. or renal failure diti not correlate with hospital niorta1it 1 0

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.051
GPT teacher head0.357
Teacher spread0.307 · 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 designCase report
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

Citations0
Published2012
Admission routes1
Has abstractyes

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Same venuePakistan Heart JournalSame topicAortic Disease and Treatment ApproachesFrench-language works237,207