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Record W4416262992 · doi:10.7759/cureus.96985

Gallstone Ileus Occurring 35 Years After Cholecystectomy in an Elderly Male

2025· article· en· W4416262992 on OpenAlexaff
Michael W. Alchaer, Tyler Stevens, Yanara Crespo Valdés, Thomas Abbruzzese

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicBiliary and Gastrointestinal Fistulas
Canadian institutionsBrandon University
FundersHCA Healthcare
KeywordsGallstone ileusCholecystectomyExploratory laparotomyIleusBowel obstructionFistulaLaparotomyPresentation (obstetrics)

Abstract

fetched live from OpenAlex

Gallstone ileus occurring decades after cholecystectomy is exceptionally rare and represents an uncommon cause of small bowel obstruction (SBO) in elderly patients with prior gallstone disease. A 72-year-old male with a remote history of cholecystectomy presented with nausea, vomiting, and diffuse abdominal pain. CT imaging demonstrated an SBO with a calcified intraluminal mass in the distal ileum. After initial conservative management, the patient underwent exploratory laparotomy with extensive adhesiolysis, enterolithotomy, and primary ventral hernia repair. A large, calcified gallstone was removed from the distal ileum, confirming gallstone ileus. Postoperatively, the patient developed a transient superficial wound infection managed with bedside debridement and antibiotics, with full recovery and discharge on postoperative day ten. Gallstone ileus many years following cholecystectomy likely results from a persistent, chronically developed biliary-enteric fistula enabling delayed stone passage. Its nonspecific presentation and rarity can delay diagnosis, highlighting the importance of maintaining a high index of suspicion in elderly patients presenting with SBO and intraluminal calcified densities. This case emphasizes that gallstone ileus can occur long after cholecystectomy. Early recognition and timely operative intervention remain essential for optimal 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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.294
Teacher spread0.284 · 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 teacher head, 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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