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Record W4287448586 · doi:10.1016/j.ijscr.2022.107452

Acute appendicitis secondary to metastatic breast cancer. 12 Years after first primary tumor diagnosis. A case report

2022· article· en· W4287448586 on OpenAlexaff
Victoria G. Hughes, Pedro Osácar, Darío Ramallo

Bibliographic record

VenueInternational Journal of Surgery Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicIntraperitoneal and Appendiceal Malignancies
Canadian institutionsVictoria General Hospital
Fundersnot available
KeywordsMedicineAcute appendicitisMetastatic breast cancerBreast cancerGeneral surgeryMetastatic tumorPrimary tumorAppendicitisRadiologyCancerOncologyMetastasisInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Metastatic adenocarcinoma to the appendix is an uncommon finding, there are few published cases in the literature of appendicitis from metastatic breast carcinoma. PRESENTATION OF CASE: A 51-year-old female was admitted to the emergency department with a presumptive diagnosis of acute appendicitis with a past medical history of stage IV Breast Cancer 12 years ago. Appendectomy was performed, finding a perforated appendix. Anatomo-pathology examination revealed a semi-differentiated carcinoma involving the tip of the appendix. DISCUSSION: Gastrointestinal tract (GIT) metastases of breast carcinoma are an uncommon finding. Appendiceal metastases are a very uncommon finding, and the interval between diagnosis of the primary carcinoma and the metastases can be many years. There are no reports about whether right hemicolectomy provides better oncological outcomes than an appendectomy in stage IV BC. CONCLUSION: There are no guidelines for the management of this disease but unquestionably, multidisciplinary management leads to better outcomes.

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)0.000
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0040.002

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 head0.016
GPT teacher head0.278
Teacher spread0.262 · 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 designCase report
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".

Quick stats

Citations4
Published2022
Admission routes1
Has abstractyes

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