Evidence map›Paper›PMID 32699714›Full record

ArticleCureus2020

Association of Opioid Use With Cardiometabolic Disease Risk Factors: Evidence From the 2009-2018 National Health and Nutrition Examination Survey.

Kaushal Shah, Viraj V Joshi, Nkechi C Arinze, Krishna Priya Bodicherla, Shristee Ghimire, Romil Singh, Venkatesh Sreeram

Abstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Review
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

7 authors.

Kaushal ShahPsychiatry, Griffin Memorial Hospital, Norman, USA.
Viraj V JoshiNeuropsychiatry, California Instititute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Nkechi C ArinzeInternal Medicine/Community Medicine, Mercer University School of Medicine, Macon, USA.
Krishna Priya BodicherlaPsychiatry, Sri Devaraj Urs Medical College, Kolar, IND.
Shristee GhimireInternal Medicine, University of Science & Technology Chattogram, Chattogram, BGD.
Romil SinghInternal Medicine, Metropolitan Hospital, Jaipur, IND.
Venkatesh SreeramPsychiatry, Harlem Hospital Center, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To investigate the association between opioid drug use and cardiometabolic risk factors in an adult sample data acquired from the National Health and Nutrition Examination Survey (NHANES). Methods A retrospective cross-sectional analysis was performed using the data from the NHANES for the period 2009-2018 provided by the Centers for Disease Control and Prevention (CDC), amounting to a total of N = 10,032 eligible participants. The data were analyzed to study the relationship between opioid drug use (dividing into four dichotomy groups: drug use (DU) group, illicit drug use (IDU) group, repeated drug use (RDU) group, and current drug use (CDU) group) and cardiometabolic disease risk factors (CDRF) (i.e., hypertension, abnormal triglyceride levels, low-level of high-density lipoproteins (HDLs), high waist circumference, insulin resistance, serum cotinine levels, higher C-reactive protein, hypercholesterolemia, and increased BMI). The statistical correlation was evaluated using the chi-square analysis, and a p-value of less than 0.05 was considered statistically significant. Alcohol use, age, race, ethnicity, education level, and poverty to income ratio (PIR) were analyzed as covariates.  Results Overall, our analysis found that males were more likely than females (p ≤ 0.001) to have ever reported using drugs at least once in their lifetime. In fact, males were more likely than females to report ever using cocaine (p = 0.01), heroin (p = 0.01), and marijuana (p = 0.01). Additionally, males were significantly more likely than females to disclose the current use of illicit drugs (p = 0.002), and also tend to have consumed more with at least 12 alcoholic beverages per year (p < 0.001). Overall, we found no association between substance use and having a cluster of three or more CDRF variables for both males and females. Conclusion Study results highlight the prevalence of gender differences in DU and its reporting. With the rising popularity of illicit drugs, clinicians must be aware of its association with CDRF.

Indexed as

alcoholcardiometabolic diseasecocainediabetesheroinhypertensionillicit drugsmarijuanamethamphetaminesopioid

Identifiers

PMID32699714
PMCPMC7372186

What OpenQuestion holds

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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.