Evidence map›Paper›PMID 32943463›Full record

ArticleBMJ open gastroenterology2020

ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies.

Kelly L Hayward, Amy L Johnson, Benjamin J Mckillen, Niall T Burke, Vikas Bansal, Leigh U Horsfall, Gunter Hartel, Chris Moser, Elizabeth E Powell, Patricia C Valery

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMJ open gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
8.0field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 62 citations in OpenAlex.

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  2. Differences in admission to trauma centres by sex among adults with traumatic brain injury: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
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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

10 authors at 3 institutions in 1 country.

Kelly L HaywardCentre for Liver Disease Research, The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.ORCID 0000-0001-6115-3420
Amy L JohnsonCentre for Liver Disease Research, The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.
Benjamin J MckillenCentre for Liver Disease Research, The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.
Niall T BurkeCentre for Liver Disease Research, The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.
Vikas BansalCentre for Liver Disease Research, The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.
Leigh U HorsfallCentre for Liver Disease Research, The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.
Gunter HartelStatistics, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Chris MoserStatistical Services Branch, Queensland Government Department of Health and Ageing, Brisbane, Queensland, Australia.
Elizabeth E Powell *Centre for Liver Disease Research, The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.ORCID 0000-0001-5008-8061
Patricia C Valery *Centre for Liver Disease Research, The University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia Patricia.Valery@qimrberghofer.edu.au.ORCID 0000-0002-8823-3006
Translational Research Institute · AUQIMR Berghofer Medical Research Institute · AUQueensland Government · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe utility of International Classification of Diseases (ICD) codes relies on the accuracy of clinical reporting and administrative coding, which may be influenced by country-specific codes and coding rules. This study explores the accuracy and limitations of the Australian Modification of the 10th revision of ICD (ICD-10-AM) to detect the presence of cirrhosis and a subset of key complications for the purpose of future large-scale epidemiological research and healthcare studies. DESIGN/

methodICD-10-AM codes in a random sample of 540 admitted patient encounters at a major Australian tertiary hospital were compared with data abstracted from patients' medical records by four blinded clinicians. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, positive predictive value (PPV), negative predictive value and Cohen's kappa coefficient (κ).

resultsThe PPVs for 'grouped cirrhosis' codes (0.96), hepatocellular carcinoma (0.97) ascites (0.97) and 'grouped varices' (0.95) were good (κ all >0.60). However, codes under-detected the prevalence of cirrhosis, ascites and varices (sensitivity 81.4%, 61.9% and 61.3%, respectively). Overall accuracy was lower for spontaneous bacterial peritonitis ('grouped' PPV 0.75; κ 0.73) and the poorest for encephalopathy ('grouped' PPV 0.55; κ 0.21). To optimise detection of cirrhosis-related encounters, an ICD-10-AM code algorithm was constructed and validated in an independent cohort of 116 patients with known cirrhosis.

conclusionMultiple ICD-10-AM codes should be considered when using administrative databases to study the burden of cirrhosis and its complications in Australia, to avoid underestimation of the prevalence, morbidity, mortality and related resource utilisation from this burgeoning chronic disease.

Indexed as

AdultAgedAlgorithmsAscitesAustraliaCarcinoma, HepatocellularCost of IllnessData AccuracyDatabases, FactualDelivery of Health CareEsophageal and Gastric VaricesFemaleHepatic EncephalopathyHospitalizationHumansInternational Classification of Diseasesascitesepidemiologyhealth service researchhepatic encephalopathyperitonitis

Identifiers

PMID32943463
PMCPMC7500192
OpenAlexW3087219094

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.