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Record W2172175139 · doi:10.1016/j.ejcts.2010.03.022

Mitroflow aortic pericardial bioprosthesis

2010· letter· en· W2172175139 on OpenAlexaboutno aff
Juan Sierra Quiroga, José Rubio Álvarez, José Manuel Martínez‐Comendador, Cristián Delgado

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2010
Typeletter
Languageen
FieldMedicine
TopicInfectious Aortic and Vascular Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyInternal medicine

Abstract

fetched live from OpenAlex

We read with great interest the article ‘Mitroflow aortic pericardial bioprosthesis – clinical performance’ published by Jamieson and colleagues [1] and we have a few queries regarding the contents and conclusions of the article. First, this is a retrospective study, performed with patients from three different hospitals (Bad Oeynhausen, Berlin and Vancouver) operated on between 1992 and 2003 using the Mitroflow pericardial bioprosthesis, model 12. The study involved a total of 381 patients. Minami (from Bad Oeynhausen) reported in 2005 the implantation of 1024 valves of Mitroflow model 12 [2]. Yankah (from Berlin) published in 2005 the clinical results of 1037 Mitroflow bioprosthesis implanted between 1986 and 2003 [3] (a great number of these valves probably were Mitroflow model 12). So, the first question is if there are now 381 patients included in the article, why were the other patients excluded? What kind of bias was made in the population data? Second, in the given data and Table 1, the authors made two groups: less than 70 years old and older. Nevertheless, in Fig. 2, the graphic captions are ‘≥60 years’ and ‘≥65 years’. Even more, the patients at risk in the older than 65-year-old group are greater in number than patients older than 60 years old (385 vs 374). How is it possible? Third, there were 20 early deaths and, of the 361 survivors, 24 patients were lost to follow-up (6.6%), and 228 were late deaths; 66 deaths were due to undetermined causes and 35 deaths were due to valve-related causes. Of these, only two were structural valve deterioration (SVD). Of the 66 undetermined deaths, we do not know the rate of structural failure or deterioration. Only 19 cases were re-operated on due to SVD, but how many patients had SVD without re-operation? Were they studied? If the follow-up was performed by telephone interview, as Minami reported [2], this may have limited the detection of valve-related pathology. Structural valve deterioration is a process occurring over a prolonged period of time and the real incidence may have been less than the rate that would be detected by periodic echocardiographic studies [4]. How many patients had SVD without clinical significance? The authors concluded in their exposure ‘The Mitroflow…, has very acceptable durability, at 10 years, for patients >60 years.’ We think that with these data, we cannot conclude that affirmation.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.007
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 head0.023
GPT teacher head0.263
Teacher spread0.240 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2010
Admission routes1
Has abstractyes

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