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Record W3004173113 · doi:10.14740/jocmr4062

The Anatomical Characteristics of Corona Mortis: A Systematic Review of the Literature and Its Clinical Importance in Hernia Repair

2020· review· en· W3004173113 on OpenAlexvenueno aff
George Noussios, Nikiforos Galanis, Iosif Chatzis, Sergios Konstantinidis, Eva Filo, George Karavasilis, Anastasios Katsourakis

Bibliographic record

VenueJournal of Clinical Medicine Research · 2020
Typereview
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsnot available
Fundersnot available
KeywordsRigor mortisMedicineCorona (planetary geology)Inguinal herniaSurgeryHerniaAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Inguinal hernia repair is one of the most common daily operations in general surgery. However, the anatomical structures of the region, such as the corona mortis (the crown of death), make this procedure quite challenging. A comprehensive knowledge of its anatomy is essential, since massive hemorrhage may occur if the vessel is injured. The current review of the literature aimed to report the frequency and anatomical variations of vascular corona mortis. METHODS: A substantial study was coordinated through PubMed, Scopus and Google Scholar. The Prisma guidelines were used for the systematic review of the articles found. A total of 13 studies and 1,455 patients were included for the statistical analysis. RESULTS: The results showed that corona mortis was present in about half the hemi-pelvises, and to be more accurate, the prevalence was 46%. Venous corona mortis was more frequent than the arterial type (42% vs. 25%). CONCLUSIONS: Considering the percentages mentioned above, every surgeon who schedules an operation on the retro-pubic area, especially during a hernioplasty procedure, should evaluate the possibility of the presence of corona mortis. Anatomical knowledge of the region is vital for attempting to eliminate the risk of injuring the corona mortis during surgery.

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)0.050
metaresearch head score (Gemma)0.125
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.249
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0500.125
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0100.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0000.000

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 head0.232
GPT teacher head0.570
Teacher spread0.338 · 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; both teacher heads agree on what is shown here.

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

Citations27
Published2020
Admission routes1
Has abstractyes

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