Evidence map›Paper›PMID 38011858›Full record

ArticleAddiction (Abingdon, England)2024

Performance of International Classification of Disease-10 codes in detecting emergency department patients with opioid misuse.

Neeraj Chhabra, Dale Smith, Paul Pachwicewicz, Yiqi Lin, Sameer Bhalla, Caitlin M Maloney, Mennefer Blue, Power Lee, Brihat Sharma, Majid Afshar and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2024. 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
3.5field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 12 citations in OpenAlex.

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  8. Racial, ethnic, and sex disparities in buprenorphine treatment from emergency departments by discharge diagnosis.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
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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

11 authors at 3 institutions in 1 country.

Neeraj ChhabraDivision of Medical Toxicology, Department of Emergency Medicine, Cook County Health, Chicago, Illinois, USA.ORCID 0000-0002-0945-1233
Dale SmithAddiction Data Science Laboratory, Department of Psychiatry and Behavioral Science, Rush University Medical Center, Chicago, Illinois, USA.
Paul PachwicewiczAddiction Data Science Laboratory, Department of Psychiatry and Behavioral Science, Rush University Medical Center, Chicago, Illinois, USA.
Yiqi LinRush Medical College, Rush University, Chicago, Illinois, USA.
Sameer BhallaDepartment of Medicine, Rush Medical College, Rush University, Chicago, Illinois, USA.
Caitlin M MaloneyRush Medical College, Rush University, Chicago, Illinois, USA.
Mennefer BlueAddiction Data Science Laboratory, Department of Psychiatry and Behavioral Science, Rush University Medical Center, Chicago, Illinois, USA.
Power LeeRush Medical College, Rush University, Chicago, Illinois, USA.
Brihat SharmaAddiction Data Science Laboratory, Department of Psychiatry and Behavioral Science, Rush University Medical Center, Chicago, Illinois, USA.
Majid AfsharDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Niranjan S KarnikInstitute for Juvenile Research, Department of Psychiatry, University of Illinois Chicago, Chicago, Illinois, USA.ORCID 0000-0001-7650-3008
Rush University Medical Center · USUniversity of Illinois Chicago · USUniversity of Wisconsin–Madison · US

Funding

Quantifying How Cocaine Users Respond to Fentanyl Contamination in CocaineUG1DA049467 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Niranjan Subhash Karnik, ANTONIO A MORGAN-LOPEZ · 2019 to 2026
$11.2M
Data Driven Strategies for Substance Misuse Identification in Hospitalized PatientsR01DA051464 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI Majid Afshar · 2020 to 2026
$4.5M
Chicago Data-driven OUD Screening, Engagement, Treatment and Planning (C-DOSETaP) SystemR61DA057629 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KARNIK, NIRANJAN SUBHASH · 2023 to 2023
$1.1M
Machine learning approaches for the detection of emergency department patients with opioid misuseK23DA055061 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Neeraj Chhabra · 2022 to 2026
$993k
NIDA NIH HHS K23 DA055061NIDA NIH HHS R01 DA051464NIDA NIH HHS R61 DA057629NIDA NIH HHS UG1 DA049467
6 · The paper itself

Abstract

BACKGROUND AND

aimsAccurate case discovery is critical for disease surveillance, resource allocation and research. International Classification of Disease (ICD) diagnosis codes are commonly used for this purpose. We aimed to determine the sensitivity, specificity and positive predictive value (PPV) of ICD-10 codes for opioid misuse case discovery in the emergency department (ED) setting. DESIGN AND

settingRetrospective cohort study of ED encounters from January 2018 to December 2020 at an urban academic hospital in the United States. A sample of ED encounters enriched for opioid misuse was developed by oversampling ED encounters with positive urine opiate screens or pre-existing opioid-related diagnosis codes in addition to other opioid misuse risk factors. CASES: A total of 1200 randomly selected encounters were annotated by research staff for the presence of opioid misuse within health record documentation using a 5-point scale for likelihood of opioid misuse and dichotomized into cohorts of opioid misuse and no opioid misuse. MEASUREMENTS: Using manual annotation as ground truth, the sensitivity and specificity of ICD-10 codes entered during the encounter were determined with PPV adjusted for oversampled data. Metrics were also determined by disposition subgroup: discharged home or admitted.

findingsThere were 541 encounters annotated as opioid misuse and 617 with no opioid misuse. The majority were males (54.4%), average age was 47 years and 68.5% were discharged directly from the ED. The sensitivity of ICD-10 codes was 0.56 (95% confidence interval [CI], 0.51-0.60), specificity 0.99 (95% CI, 0.97-0.99) and adjusted PPV 0.78 (95% CI, 0.65-0.92). The sensitivity was higher for patients discharged from the ED (0.65; 95% CI, 0.60-0.69) than those admitted (0.31; 95% CI, 0.24-0.39).

conclusionsInternational Classification of Disease-10 codes appear to have low sensitivity but high specificity and positive predictive value in detecting opioid misuse among emergency department patients in the United States.

Indexed as

International Classification of DiseasesOpioid-Related DisordersEmergency Service, HospitalFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesUnited Statescohort discoverydiagnosis codeemergency medicineopioid epidemicopioid misusesensitivity

Identifiers

PMID38011858
PMCPMC11162597
OpenAlexW4389068822

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.