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Record W3150704536 · doi:10.14740/jmc1811e

Iatrogenically Displaced Renal Calculus During Percutaneous Lithotripsy That Mimicked Duodenal Perforation by Resembling Leaked Oral Contrast

2014· article· en· W3150704536 on OpenAlexvenueno aff
Gulek

Bibliographic record

VenueJournal of Medical Cases · 2014
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDuodenumLithotripsyPercutaneousPerforationSurgeryCalculus (dental)ComplicationRadiologyCatheter

Abstract

fetched live from OpenAlex

Percutaneous lithotripsy (nephrolithotripsy) is an interventional procedure in which renal calculi are removed from the kidney through a tube which is inserted percutaneously. The procedure removes the necessity of surgery, but still bears the risk of certain complications, including displacement of calculi or their fragments. We present a 56-year-old female patient who was brought to the radiology department with the suspicion of duodenal perforation. The patient had undergone a percutaneous intervention for lithotripsy, but things had gone rather unlucky and the stone had been mobilized out from its original location at the lower pole of the right kidney, by the impact of a stiff nelaton catheter tip used during the intervention. Following the intervention, she had developed an upper abdominal pain. At computed tomography (CT) obtained with oral contrast with the suspicion of a duodenal perforation, a fluid collection and a hyper-dense focus were noted at the near vicinity of the duodenum. The density was originally thought to represent extravasated oral contrast from the duodenum, but later it was found to be due to the calculus that was driven out from the right kidney during the interventional attempt to perform a percutaneous lithotripsy. Renal calculus displacement may be a serious complication of lithotripsy, leading to certain misdiagnoses including hollow-organ penetration. Care and commanding know-how of the procedure are of utmost importance in dealing with such situations. J Med Cases. 2014;5(7):408-410 doi: http://dx.doi.org/10.14740/jmc1811e

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)0.001
metaresearch head score (Gemma)0.007
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0020.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.305
Teacher spread0.282 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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