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Record W4234121355 · doi:10.14740/jmc2483w

Acute Kidney Injury Following Conversion From Laparoscopic to Open Cholecystectomy

2016· article· en· W4234121355 on OpenAlexvenueno aff
Ahmed Dirweesh, Ritika Zijoo, Praneet Iyer

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicAbdominal Surgery and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePneumoperitoneumAcute kidney injuryCholecystectomySurgeryPerfusionLaparoscopic surgeryKidneyAnesthesiaLaparoscopyInternal medicine

Abstract

fetched live from OpenAlex

Pneumoperitoneum during laparoscopic surgery is a complex physiologic event associated with neuroendocrine, respiratory, cardiovascular and renal disturbances as well as compromised organ blood flow. Impaired renal perfusion from pneumoperitoneum is attributed to intra-abdominal hypertension. Several mechanisms contribute to acute kidney injury (AKI) in such patients, including renal vein compression with impairment of the venous drainage. Renal artery vasoconstriction induced by the neuro-hormonal systems worsens outcomes. The final result is progressive reduction in both glomerular perfusion and urine output. We present a case of 58-year-old man who underwent open cholecystectomy following a failed laparoscopic cholecystectomy attempt. Postoperatively, he developed AKI. This was attributed to pneumoperitoneum, an essential part of the laparoscopic procedure. This case illustrates that even when there are no obvious risk factors for postoperative complications, a high index of suspicion should be maintained for early recognition and treatment of complications from this surgery. J Med Cases. 2016;7(6):220-222 doi: http://dx.doi.org/10.14740/jmc2483w

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.032
GPT teacher head0.357
Teacher spread0.325 · 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.

Study designNot applicable
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

Citations1
Published2016
Admission routes1
Has abstractyes

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