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Record W4308552554 · doi:10.1177/15266028221133701

Systematic Review on Customized and Non-customized Device Techniques for the Endovascular Repair of the Aortic Arch

2022· review· en· W4308552554 on OpenAlexaboutno aff
Petroula Nana, Κωνσταντίνος Σπανός, Konstantinos Dakis, Athanasios Giannoukas, Tilo Kölbel, Stéphan Haulon

Bibliographic record

VenueJournal of Endovascular Therapy · 2022
Typereview
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAortic archAortic repairMortality rateSurgeryAneurysmAorta

Abstract

fetched live from OpenAlex

PURPOSE: Open repair remains the standard of care for aortic arch pathologies. However, endovascular management became an attractive alternative for high-risk patients. This study aimed to assess the outcomes of the available endovascular techniques for aortic arch pathology management. MATERIALS AND METHODS: A search of the English literature (2000-2022) using PubMed, EMBASE, via Ovid, and CENTRAL databases (February 1, 2022) was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Studies reporting on patients with aortic arch pathologies managed with custom-made devices ([CMDs] fenestrated or branched thoracic endovascular aortic repair [F/BTEVAR]) and non-CMDs (parallel graft or surgeon-modified FTEVAR) were eligible. Studies reporting on hybrid or open repair were excluded. Studies' quality was assessed using the Newcastle-Ottawa Scale. Primary outcomes were technical success, 30 day mortality, and cerebrovascular events (CVEs). Secondary outcomes were re-intervention and mortality during follow-up. RESULTS: Thirty studies (2135 patients) were included. Treatment indications were mainly dissections (652 cases [48.0%, 652/1358]; 90 type A, 506 type B; 364 acute, 163 chronic) and aneurysms (46.9%, 582/1239). Five studies (211 patients) reported on FTEVAR and 10 (388 patients) on BTEVAR. For FTEVAR, technical success rate was 98.3%. Thirty-day mortality was 3.8% and CVE rate was 12.3%. Ten deaths (9.7%) and 19 re-interventions (9%) were recorded during follow-up (24 months). Regarding BTEVAR, technical success rate was 98.7%, and 30 day mortality and CVE rates were 5.4% and 11.0%, respectively. During follow-up (27 months), 64 deaths (18.7%) and 33 re-interventions (9.6%) were recorded. Parallel graft technique was reported in 11 studies (901 patients). Technical success rate was 76.4%. Thirty-day mortality was 3.9% and 32 (4.3%) CVEs were recorded. Thirty-five deaths (4.4%) and 43 re-interventions (5.5%) were reported during follow-up (27 months). Surgeon-modified FTEVAR was described in 5 studies (635 patients). Technical success rate was 91.6%. At 30 days, 15 deaths (2.3%) and 22 CVEs (3.5%) were recorded. During follow-up (19 months), 26 deaths (4.2%) and 21 re-interventions (3.6%) were detected. CONCLUSIONS: Endovascular arch repair presented a variable technical success; >95% for F/BTEVAR; ≤90% for non-CMDs. Acceptable 30 day mortality rates were reported. Cerebrovascular event rates ranged up to 10%. These findings, adjacent to the estimated midterm mortality and re-interventions, set the need for further improvement. CLINICAL IMPACT: Endovascular arch repair gains popularity as a valuable alternative, especially in patients considered unfit for open repair. According the available literature, any endovascular technique, including custom-made or off-the-shelf solutions, may be applied successfully, with acceptable early mortality. However, the perio-operative cerebrovascular event rate is still an issue, indicating the need for further advancements.

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)0.006
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.056
GPT teacher head0.342
Teacher spread0.286 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations35
Published2022
Admission routes1
Has abstractyes

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