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Record W4402719596 · doi:10.1093/bjs/znae243

Service specification in aortic centres—UK Aortic Society survey

2024· article· en· W4402719596 on OpenAlexaff
Giovanni Mariscalco, Riccardo Abbasciano, Karen Booth, Sunil Bhudia, Stefano Forlani, Michael Sabetai, Amit Modi, Graham Cooper, Manoj Kuduvalli

Bibliographic record

VenueBritish journal of surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineService (business)Internal medicineMarketing

Abstract

fetched live from OpenAlex

Aortic diseases are a growing concern1. In the UK, deaths registered as aortic aneurysm and dissection account for 3.2 and 7.5 per 100 000 inhabitants respectively, with half of diagnosed patients dying before reaching a hospital. Currently, in the UK, aortic surgeries are performed in cardiothoracic surgical units that treat patients within their designated region without interacting with other centres. The recent National Health System (NHS) launch of the ‘Acute Aortic Dissection toolkit’ provided an assessment framework and recommendations, describing key principles and actions to improve the care for emergency aortic syndromes2. This study aimed to understand the current state of aortic disease treatment in the UK and its compliance with best practices. A survey commissioned by the executive team of the UK-Aortic Society (https://uk-as.org) was sent to all aortic surgeons in the UK, obtaining a response from 65% of the aortic centres. The survey assessed service provision, surgeon qualifications, and adherence to national guidelines and the NHS ‘Acute Aortic Dissection toolkit’ (Fig. 1). Visual abstract of relevant outcomes derived from the survey Most centres perform a mix of elective and emergency aortic surgeries, with an average ratio between elective cases and acute aortic syndromes of 34% (±21%). Hybrid endovascular techniques are widely available (89% of the centres), but some complex procedures (Ross procedure, open treatment of thoraco-abdominal diseases) are less common (58% and 47% of the centres respectively). The ratio of urgent versus elective cases in centres with a larger volume (more than 80 aortic cases per year) was significantly lower (23%) when compared to smaller centres. Dedicated aortic surgeons are present in most centres (20 of 23 respondents), but co-located hybrid theatres (10 of 23) and on-call rotas are less frequent (13 of 23). Aortic multidisciplinary teams involving various specialists are present in most centres (18 of 23). Standardized protocols for imaging, transfer and follow-up care are not universally available (79%, 58% and 63% respectively). Only a third of centres participate in regional rotas for managing acute aortic syndromes. Educational programmes for aortic diseases are limited (37% of centres). There is no consensus on the definition of an aortic surgeon (48% of the respondents selected a figure between 10 and 20 and 52% a figure above 30 aortic operations performed per year). According to the responses provided, a ‘dedicated/specialized’ aortic surgeon should be able to perform aortic root replacement for 100% of the respondents, valve-sparing aortic root replacement for 83% and hybrid endovascular approaches for 61%. All participants agree on the volume–outcome relationship in aortic surgery and support the creation of a national aortic surgery database. The survey revealed significant variations in how aortic services are provided across the UK. Whereas some centres offer advanced treatments, others lack crucial resources like dedicated rotas and standardized protocols. The findings highlight the need for improvement in several areas. Concentrating complex aortic surgeries in high-volume centres with dedicated expertise could improve outcomes, as well known from previous publications3. Also, establishing regional rotas and implementing standardized protocols could ensure faster diagnosis, safer transfers and better long-term care for patients, whereas investing in regional educational programs for aortic diseases could improve awareness and early diagnosis. A dedicated database for aortic surgeries would allow for outcome tracking and continuous improvement. The authors have no funding to declare. The authors declare no conflict of interest. Supplementary material is available at BJS online. The data collected for the manuscript will be made available upon pertinent request to the corresponding author. Giovanni Mariscalco (Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Visualization, Writing—original draft, Writing—review & editing), Riccardo Giuseppe Abbasciano (Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Visualization, Writing—original draft, Writing—review & editing), Karen Booth (Conceptualization, Writing—original draft, Writing—review & editing), Sunil Bhudia (Conceptualization, Writing—original draft, Writing—review & editing), Stefano Forlani (Conceptualization, Writing—original draft, Writing—review & editing), Michael Sabetai (Conceptualization, Writing—original draft, Writing—review & editing), Amit Modi (Conceptualization, Writing—original draft, Writing—review & editing), Graham Cooper (Conceptualization, Writing—original draft, Writing—review & editing), and Manoj Kuduvalli (Conceptualization, Writing—original draft, Writing—review & editing)

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)0.002
metaresearch head score (Gemma)0.015
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 score0.112
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.008
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.002

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 head0.071
GPT teacher head0.286
Teacher spread0.215 · 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
Published2024
Admission routes1
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