Evidence map›Paper›PMID 27030823›Full record

ArticleHealth behavior and policy review2016

Clinical Comorbidities among Cocaine Users Screened in the Community through HealthStreet.

Sunita Dodani, Corrine W Ruktanonchai, Gurjit S Kaeley, Krishna Vaddiparti, Catherine W Striley, Linda B Cottler

Abstract read
In one paragraph

Article in Health behavior and policy review, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 89% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

6 authors.

Sunita Dodani
Corrine W Ruktanonchai
Gurjit S Kaeley
Krishna Vaddiparti
Catherine W Striley
Linda B Cottler

Funding

Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
UF CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR029890 · NCRR · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2009 to 2011
$14.4M
TRANSFORMATIVE APPROACH TO REDUCE RESEARCH DISPARITIES TOWARDS DRUG USERSR01DA027951 · NIDA · WASHINGTON UNIVERSITY · PI COTTLER, LINDA B. · 2009 to 2015
$2.3M
NCATS NIH HHS UL1 TR001427NCRR NIH HHS UL1 RR024992NCRR NIH HHS UL1 RR029890NIDA NIH HHS R01 DA027951
6 · The paper itself

Abstract

objectivesWe investigated the differences in clinical characteristics and musculoskeletal (MSK) conditions by cocaine use.

methodsHealthStreet, a community engagement program assessed 7936 adults for medical conditions.

resultsAmong 6145 African Americans (77%) and 1791 (23%) Caucasians, 15.5 % and 25% reported cocaine use, respectively. African-American cocaine users were older (p < .001) and more likely to report hypertension (p < .001) and HIV (p <.001) than Caucasian users. Compared to non-users, back pain was reported by 42% of African Americans (p < .001) and 48% of Caucasian cocaine users (p < .003). African-American cocaine users had significantly higher odds of back pain, 1.60 (95% CI 1.27, 2.04) and arthritis, 1.40 (95% CI 1.19, 1.64) than Caucasians.

conclusionsCocaine users are more likely to endorse MSK conditions than non-users. Racial disparities among users existed; however, how race affects health among users requires further research.

Indexed as

African Americansarthritisback pain: cocainehealth disparitiesmusculoskeletal

Identifiers

PMID27030823
PMCPMC4808595
OpenAlexW2314558055

What OpenQuestion holds

Textmetadata
LicenceTDM
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.