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Are Patients Hospitalized With Cirrhosis and Ascites Receiving Appropriate Diagnostic Paracentesis?

2014· article· en· W2977371510 on OpenAlexaffabout
Harith Baharith

Bibliographic record

VenueThe American Journal of Gastroenterology · 2014
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineParacentesisAscitesCirrhosisSpontaneous bacterial peritonitisLiver diseaseHepatic encephalopathyMedical recordInternal medicineSurgeryIntensive care medicine

Abstract

fetched live from OpenAlex

Introduction: Ascites is the most common complication of cirrhosis, and is associated with increased mortality. Diagnostic paracentesis is recommended for patients who are admitted to the hospital with ascites. However, it is unknown if diagnostic paracentesis in Canadian teaching hospitals are done according to recommended guidelines. We analyzed the rate of paracentesis, determined barriers for not performing paracentesis, and the association of not performing diagnostic paracentesis with mortality. Methods: We conducted a retrospective chart review of inpatient records from January 2012 to May 2014 at 2 sites of Hamilton Health Sciences. We used electronic medical records to identify patients with cirrhosis and ascites who were admitted with a primary or secondary diagnosis of ascites, spontaneous bacterial peritonitis, or hepatic encephalopathy. All patients have to have a secondary diagnosis of cirrhosis. Primary point of interest was the performance of diagnostic paracentesis. We determined barriers for not performing and delaying paracentesis >1 day after admission. We used multiple logistic regression to study the association between age, sex, Charlson score (comorbidity score), model of endstage liver disease (MELD) score, and weekend admission for patients who received and did not receive paracentesis. Mortality and hospital stay (outcomes) were compared for those who received and did not receive paracentesis. Results: Of 162 eligible admissions, 82 (50.6%; 95% CI 42.7- 58.6%) received paracentesis. Seventyseven percent (63) of paracenteses occurred early (<1 day after admission). After adjusting for covariates, MELD was the only predictor that was significantly associated with performance of paracentesis (p=0.022). In patients who did not receive paracentesis, 46/80 (57.5%) had no documented reason for not receiving paracentesis. In patients who received delayed paracentesis, 42.1% (8) was related to seeking ultrasound (US) guidance. The mean hospital stay was longer with patients who received paracentesis (8.2) compared to those who did not receive paracentesis (7.1). In-hospital mortality was slightly higher with patients underwent paracentesis 9/82 (11%) compared to those who did not undergo paracentesis 6/80 (7.5%). Neither met statistical significance. Conclusion: In these 2 Canadian teaching centers, paracentesis was underused for patients admitted with ascites and cirrhosis. There was no clear documented reason for not receiving paracentesis in many patients. We found an increased reliance on US guidance resulted in delayed paracentesis. MELD score is the only predictor identified for receiving paracentesis. Larger studies needed to determine the effect of not performing paracentesis on mortality.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.208
Teacher spread0.204 · 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 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
Published2014
Admission routes2
Has abstractyes

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