Evidence map›Paper›PMID 32030602›Full record

ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2021

A Simple Risk Score to Predict Clavien-Dindo Grade IV and V Complications After Non-elective Cholecystectomy.

Jonathan Burke, Rishi Rattan, Shaina Sedighim, Minjae Kim

Open access · greenAbstract read
In one paragraph

Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Jonathan BurkeDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Rishi RattanDeWitt Daughtry Family Department of Surgery, Division of Trauma and Surgical Critical Care, University of Miami Miller School of Medicine, Miami, FL, USA.
Shaina SedighimUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Minjae KimDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA. mk2767@cumc.columbia.edu.ORCID 0000-0001-7721-4486
University of Miami · USColumbia University Irving Medical Center · US

Funding

Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
NCATS NIH HHS KL2 TR001874
6 · The paper itself

Abstract

backgroundNon-elective cholecystectomies can lead to severe postoperative complications and mortality. Existing risk prediction tools do not meet the need to reliably predict these complications.

methodsUsing the 2011-2016 American College of Surgeons National Surgical Quality Improvement Program datasets, we identified patients undergoing non-elective cholecystectomy with primary ICD 9/10 codes indicating the following diagnoses: symptomatic cholelithiasis, acute cholecystitis, choledocholithiasis, gallstone pancreatitis, and cholangitis. We randomly allocated patients to derivation and validation cohorts (80/20 split). Severe complications (Clavien-Dindo grades IV and V) included unplanned intubation, prolonged mechanical ventilation, pulmonary embolism, acute renal failure requiring dialysis, stroke, myocardial infarction, cardiac arrest, septic shock, and mortality. Logistic regression using backward selection identified predictors of severe complications and a risk score was generated based on this model.

resultsOf 68,953 patients in the derivation cohort, 1.7% (N = 1157) suffered severe complications. The final multivariable risk score model included the following predictors: age (0-12 points), preoperative sepsis (5 points), planned open procedure (5 points), estimated glomerular filtration rate (0-13 points), and preoperative albumin level (0-8 points). The associated risk-score model yielded scores from 0 to 43 with 0.1-59.4% predicted probability of severe complications and had a C-statistic of 0.845 (95% CI 0.834, 0.857) in the derivation cohort and 0.870 (95% CI 0.851, 0.889) in the validation cohort.

conclusionA simple risk-score model predicts severe complications in patients undergoing unplanned cholecystectomy for common indications encountered in an acute care surgery service and identifies high-risk patients.

Indexed as

CholecystectomyCholelithiasisHumansLogistic ModelsPostoperative ComplicationsRetrospective StudiesRisk FactorsCholecystectomyNon-electivePostoperative complicationsPredictionRisk score

Identifiers

PMID32030602
PMCPMC7415492
OpenAlexW3005182356

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.