ArticleJournal of gastrointestinal cancer2022
The Cook Score: A Novel Assessment for the Prediction of Liver-Associated Clinical Events in a Diverse Population.
Article in Journal of gastrointestinal cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsTransient elastography (TE) provides accurate quantification of liver fibrosis. Its usefulness could be significantly amplified in terms of predicting liver-associated clinical events (LACE). Our aim was to create a model that accurately predicts LACE by combining the information provided by TE with other variables in patients with chronic liver disease (CLD).
methodsWe retrospectively reviewed the electronic medical records of patients who underwent liver elastography, at John H. Stroger Hospital in Cook County, Chicago, IL. The incidences of LACE were documented including decompensation of CLD, new hepatocellular carcinoma, and liver-associated mortality. Significant predicting factors were identified through a forward stepwise Cox regression model. We used the beta-coefficients of these risk factors to construct the Cook Score for prediction of LACE. Receiver-operating characteristic (ROC) curves were plotted for Cook Score to evaluate its efficiency in prediction, in comparison with MELD-Na Score and FIB-4 Score.
resultsA total of 3097 patients underwent liver elastography at our institution. Eighty-eight LACE were identified. Age (hazard ratio (HR) 1.04, p = 0.002), aspartate aminotransferase to alanine aminotransferase ratio (HR 2.61, p < 0.001), platelet count (HR 0.98, p < 0.001), international normalized ration (INR) (HR 17.80, p < 0.001), and liver stiffness measurement (HR1.04, p < 0.001) were identified as significant predictors. The Cook Score was constructed with two optimal cut-off points to stratify patients into low-, intermediate-, and high-risk groups for LACE. The Cook Score proved superior than MELD-Na Score and FIB4 Score in predicting LACE with an area under curve of 0.828.
conclusionThis novel score based on a large robust sample would provide accurate prediction of prognosis in patients with chronic liver disease and guide individualized surveillance strategy once validated with future studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.