Evidence map›Paper›PMID 36899112›Full record

ReviewDigestive diseases and sciences2023

Accurate Identification of Patients with Cirrhosis and Its Complications in the Electronic Health Record.

Ali Khalifa, Jihad S Obeid, Mathew J Gregoski, Don C Rockey

Abstract readReview
In one paragraph

Review in Digestive diseases and sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
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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.

Ali Khalifa *Digestive Disease Research Center, Medical University of South Carolina, Charleston, SC, USA.
Jihad S Obeid *Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Mathew J GregoskiDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Don C RockeyDigestive Disease Research Center, Medical University of South Carolina, Charleston, SC, USA. rockey@musc.edu.ORCID http://orcid.org/0000-0002-3751-2961

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
The role of SMAD1 and SATB2 in colon patterningP20GM130457 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Evan R Delgado · 2020 to 2026
$18.7M
Proteomics CoreP30DK123704 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Garth R Swanson · 2020 to 2026
$8.8M
NCATS NIH HHS UL1 TR001450NIDDK NIH HHS P30 DK123704NIGMS NIH HHS P20 GM130457
6 · The paper itself

Abstract

backgroundCirrhosis represents a significant health burden; administrative data provide an important tool for research studies.

aimsWe aimed to understand the validity of current ICD-10 codes compared to previously used ICD-9 codes to identify patients with cirrhosis and its complications.

methodsWe identified 1981 patients presenting to MUSC between 2013 and 2019 with a diagnosis of cirrhosis. To validate the sensitivity of ICD codes, we reviewed the medical records of 200 patients for each associated ICD 9 and 10 codes. Sensitivity, specificity, and positive predictive value for each ICD code (individually or when combined) were calculated and univariate binary logistic models, for cirrhosis and its complications, predicted probabilities were used to calculate C-statistics.

resultsSingle ICD 9 and 10 codes were similarly insensitive for detection of cirrhosis, with sensitivity ranging from 5 to 94%. However, ICD-9 code combinations (when used as either/or) had high sensitivity and specificity for the detection of cirrhosis, with the combination of either 571.5 (or 456.21) or 571.2 codes having a C-statistic of 0.975. Combinations of ICD-10 codes were only slightly less sensitive and specific than ICD-9 codes for detection of cirrhosis (K76.6, or K70.31, plus K74.60 or K74.69, and K70.30 had a C-statistic of 0.927).

conclusionsICD-9 and ICD-10 codes when used alone were inaccurate for identifying cirrhosis. ICD-10 and ICD-9 codes had similar performance characteristics. Combinations of ICD codes exhibited the greatest sensitivity and specificity for detection of cirrhosis, and thus should be used to accurately identify cirrhosis.

Indexed as

Electronic Health RecordsLiver CirrhosisHumansInternational Classification of DiseasesPredictive Value of TestsSensitivity and SpecificityDecompensationInternational Classification of Diseases (ICD) codeLiverPortal hypertension

Identifiers

PMID36899112
PMCPMC10847840

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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.