Evidence map›Paper›PMID 35088187›Full record

ArticleDigestive diseases and sciences2022

Identifying Ascites in Patients with Cirrhosis Using Administrative Codes and Diuretic Use: A Multicenter Study.

Juan J Gonzalez, Jennifer Dziwis, Yuval A Patel, Elliot B Tapper

Abstract readMulticenter Study
In one paragraph

Article in Digestive diseases and sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. High Hospitalization Rates and Risk Factors Among Frail Patients With Cirrhosis: A 10-year Population-based Cohort Study.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2025
    Article
  6. Review
  7. Article
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.

Juan J GonzalezDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA. juanjgon@umich.edu.ORCID 0000-0003-3073-4921
Jennifer DziwisDepartment of Internal Medicine, Duke University School of Medicine, Durham, NC, USA.
Yuval A PatelDivision of Gastroenterology, Department of Internal Medicine, Duke University School of Medicine, Durham, NC, USA.
Elliot B TapperDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.

Funding

Optimizing Measures for Clinical Trials in Covert Hepatic EncephalopathyK23DK117055 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TAPPER, ELLIOT · 2019 to 2022
$776k
NIDDK NIH HHS K23 DK117055
6 · The paper itself

Abstract

backgroundAscites is associated with significantly increased morbidity, mortality, and health care costs. Large population studies are necessary to determine the burden and impact of ascites; however, ascites ICD-10 codes perform poorly in the identification of patients.

methodsWe utilized three independent retrospective cohorts at the University of Michigan (cohorts 1 and 2) and Duke University (cohort 3). Cohort 1: Child A5-6 patients followed up to 10 years (n = 150); cohort 2: Child A5-B7 patients with portal hypertension followed for up to 1 year (n = 65); cohort 3: cross-sectional cohort of patients evaluated for liver transplant (n = 100). We computed performance characteristics for ascites-related ICD-10 codes (K70.31, K70.11, K71.51, R18.8), as well as loop and/or potassium-sparing diuretics.

resultsA total of 315 patients were included across three cohorts. Algorithms including any ascites code provided better sensitivity and equivalent specificity to R18.8 alone for all cohorts. In cohort 2, we found that loop diuretics, potassium-sparing diuretics, and a combination of both with a cirrhosis code were highly sensitive (82.3% for each) and specific (89.1-93.5%). In contrast, ascites codes were insensitive. In patients with moderate-severe ascites, a combination of recorded diuretics showed high sensitivity and specificity (95.2% and 86.8%). In Cohort 3's transplant evaluation patients, we found that loop diuretics, potassium-sparing diuretics, and a combination of both with a cirrhosis code were highly sensitive (90.4%, 78.8% and 75.0%, respectively) and specific (85.0%, 90.0% and 95.0%, respectively). For moderate-severe cirrhosis, loop diuretics and R18.8 showed higher sensitivity (77.8%) and specificity (88.9%), respectively.

conclusionDiuretic records with a cirrhosis code improve the identification of ascites. This method for identifying ascites should be used in future large dataset studies.

Indexed as

AscitesDiureticsChildCross-Sectional StudiesHumansLiver CirrhosisPotassiumRetrospective StudiesSodium Potassium Chloride Symporter InhibitorsDiureticsPotassiumSodium Potassium Chloride Symporter InhibitorsAdministrative codesAscitesCirrhosisDiureticsLiver disease

Identifiers

PMID35088187
PMCPMC11289723

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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.