Evidence map›Paper›PMID 30312893›Full record

ArticleDrug and alcohol dependence2018

Multicomorbidity of chronic diseases and substance use disorders and their association with hospitalization: Results from electronic health records data.

Li-Tzy Wu, He Zhu, Udi E Ghitza

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 2 pooled it
–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

92 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. eHealth Interventions to Treat Substance Use in Pregnancy: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021
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  18. Health-related quality of life measures as predictors for recurrent hospitalization and mortality among patients in heroin-assisted treatment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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32 more citing papers are in PubMed but not listed here.

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

3 authors.

Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA; Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA; Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA; Center for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, NC, USA. Electronic address: litzy.wu@duke.edu.
He ZhuDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Udi E GhitzaNational Institute on Drug Abuse, Bethesda, MD, USA.

Funding

Project-003UG1DA040317 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2015 to 2019
$9.0M
Substance Abuse & Treatment Gaps in Asians, Pacific Islanders & Multiple-race IndR01MD007658 · NIMHD · DUKE UNIVERSITY · PI WU, LI-TZY · 2013 to 2017
$1.8M
NIDA NIH HHS UG1 DA040317NIMHD NIH HHS R01 MD007658
6 · The paper itself

Abstract

backgroundChronic diseases are prevalent and the leading causes of mortality. Comorbidity of substance use disorders (SUDs) and chronic diseases is understudied to inform behavioral healthcare integration.

objectivesThis study leveraged electronic health record (EHR) data of 211,880 adults from a large health system to examine prevalence and correlates of comorbidity of SUDs and nine chronic disease groups and to determine their association with hospitalization.

methodsLogistic regression analyses were conducted to estimate associations between chronic diseases and SUDs. To control for severity of diagnosis, analyses of associations between SUD and hospitalization were stratified by the number of chronic conditions.

resultsIn the sample, 48.3% had ≥1 chronic condition (hypertension 33.7%, arthritis 16.2%, diabetes 13.7%, chronic kidney disease 9.9%, asthma 9.1%, chronic obstructive pulmonary disease 8.9%, ischemic heart disease 8.3%, cancer 4.6%, and hepatitis 1.3%). Prevalence of SUD (overall 13.3%) among patients increased with multiple chronic conditions (14.3% having SUD among patients with one condition; 21.2% having SUD among patients with two to three conditions; and 32.5% having SUD among patients with 4-9 conditions). Chronic conditions were associated with increased odds of SUDs. For all SUD groups, hospitalization was more prevalent among patients with SUD than those without it; prevalence of hospitalization increased with the number of comorbid chronic conditions.

conclusionsFindings reveal a striking pattern of multicomorbidity of SUD and chronic diseases and its positive association with hospitalization. Behavioral healthcare integration should consider efforts to assess and treat comorbid SUD and chronic diseases, especially among adults with multiple chronic conditions.

Indexed as

AdolescentAdultAgedChronic DiseaseComorbidityElectronic Health RecordsFemaleHeart DiseasesHospitalizationHumansMaleMiddle AgedNeoplasmsPrevalenceSubstance-Related DisordersYoung AdultChronic diseaseComorbidityElectronic health recordsHospitalizationSubstance use disorder

Identifiers

PMID30312893
PMCPMC6358206

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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.