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Enregistrement W4312019561 · doi:10.1093/eurheartj/ehac725

In memoriam: Professor Domenico Pagano

2022· article· en· W4312019561 sur OpenAlexfundno aff
Mario Gaudino, Nick Freemantle, Rafael Sádaba

Notice bibliographique

RevueEuropean Heart Journal · 2022
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueMedical History and Innovations
Établissements canadiensnon disponible
Organismes subventionnairesCanadian Institutes of Health ResearchNational Institutes of HealthEuropean Association for Cardio-Thoracic Surgery
Mots-clésMedicine

Résumé

récupéré en direct d'OpenAlex

I disagree with what you say, but I will defend to the death your right to say it. Professor Domenico Pagano (Figure 1) died on the 10th of October 2022 after a brave fight with a terrible disease. He was 60 years old, and it was far too early. Domenico was a true leader and an inspiration to those clinicians whose first priority is to their patients. While displaying a strong sense of humour and occasionally mischief (particularly if he became bored), Domenico’s commitment was not only to his own patients but to all patients, especially through his work on clinical practice guidelines and in rooting out biased scientific practice. Corruption and self-interest were anathema to him, and he was fearless in calling them out, often making enemies in the process. ‘Never whisper in the presence of wrong’ was one of his favourite quotes and a driving principle of his professional career. As opposed to many in our profession, Domenico would unwaveringly support opinions different from his own if they were based on evidence, not eminence and self-interest or self-promotion; the one at the beginning of this piece was another of his frequent citations. Prof. Domenico Pagano. Domenico was born in Pompei, Italy, where he received a classical education of which he was rightly proud. He studied Medicine in Naples and trained in Bologna, before moving to the UK where he spent the remainder of his clinical career, becoming a valued colleague in the broader clinical team. It was always time consuming to walk together along the main hospital corridor at the Queen Elizabeth Hospital Birmingham, because of the number of people who wished to exchange a greeting and a few words with him. Domenico showed equal respect to all, regardless of their seniority or status, valuing excellence and integrity, and detesting hypocrisy and mendacity. His funeral was attended by more than 200 mourners, some of whom had taken time from their hospital duties to pay their respects, but also including a past patient who heard about his death by chance when serving a colleague of Domenico’s at his local restaurant. Indeed, Domenico was the kind of surgeon that all of us would choose to operate on family members and friends; he had a superb safety record built on doing well-established procedures to a very high standard and never putting surgical ego and technique before patients’ best interest. That said, Domenico was certainly no saint, and his wake included the affectionate sharing of anecdotes from his career and life, none of which can be repeated here! Domenico’s research focused on the identification of hibernating myocardium using positron emission tomography scans, working closely with his fellow Italian Paolo Camici, a British Heart Foundation Professor of Cardiology. He successfully conducted several medium scale clinical trials and published over 150 research papers during his career. It was in the subject of health policy and guidelines where he particularly made his mark, advancing the clinical quality agenda in his own hospital, and addressing a number of very controversial topics. These included studying the increased risk-facing patients who were admitted to hospital at the weekend and duality of interest in guidelines especially those developed by clinical societies including the European Association of Cardiothoracic Surgery (EACTS) where he became Secretary General in 2016. At EACTS, Domenico advanced an agenda of modernization and set the foundation to strengthen the financial solidity of the Society. While change is often painful, unexpected challenges such as the coronavirus pandemic demonstrate how the normal processes and income of an organization can be severely disrupted and highlight the need to ensure a firm foundation of professional societies. Domenico worked tirelessly for EACTS, only stepping down when forced to do so by poor health. He had many true friends, but also recognized that leadership positions such as those with EACTS bring status which truly belongs to the position rather than the holder. Domenico loved family, wine, good food, and Juventus FC in football. He was appalled when his team lost and by the departure of the UK from the European Union. While his life was spent abroad, his heart remained firmly in his beloved Italy. He became a single parent to his cherished daughters Marie-Claire and Beatrice (Bibi) with the tragic death of their mother while they were still young. A loving and caring parent, Domenico did all in his power to support them through challenging times and was fiercely proud of them, considering them both his greatest achievement in life. He is survived by his daughters, by his sister Anna, and his father Carlo. In the hardest moment, in professional life and at EACTS, Domenico, who was the absolute driving force of the group, would often hearten us all by saying ‘Let’s do this one more thing; one more challenge and then we will all rest. We will all go fishing’. It is unclear to us if Domenico knew anything about fishing and (as he would have liked this to be said), there are no objective data to prove his fishing ability—it is very likely that our fishing expedition would have been quite benign to the fish. Nevertheless, we like to think that he is resting now, looking at the beautiful Italian sea that he loved and knowing that we all will be missing him deeply. Ciao, Domenico! All authors declare no funding for this contribution. No new data were generated or analysed in support of this research.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,049
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,030
Score d'incertitude au seuil0,102

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,049
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0030,002
Communication savante0,0050,004
Science ouverte0,0020,003
Intégrité de la recherche0,0060,025
Charge utile insuffisante (le modèle a refusé de juger)0,0300,028

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,088
Tête enseignante GPT0,282
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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