Evidence map›Paper›PMID 31540613›Full record

SynthesisJournal of substance abuse treatment2019

Sociodemographic and clinical outcome differences among individuals seeking treatment for cocaine use disorders. The intersection of gender and race.

André Q C Miguel, Ayana Jordan, Brian D Kiluk, Charla Nich, Theresa A Babuscio, Jair J Mari, Kathleen M Carroll

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of substance abuse treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Guideline
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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

7 authors at 3 institutions in 2 countries.

André Q C MiguelDepartment of Psychiatry, Yale University School of Medicine, Temple Medical Building, Suite 6C, 40 Temple Street, New Haven, CT 06510, USA; Department of Psychiatry, Federal University of Sao Paulo, Rua Major Maragliano 241, Vila Mariana, São Paulo, SP 04017-030, Brazil. Electronic address: andre.miguel@yale.edu.
Ayana JordanDepartment of Psychiatry, Yale University School of Medicine, Temple Medical Building, Suite 6C, 40 Temple Street, New Haven, CT 06510, USA. Electronic address: ayana.jordan@yale.edu.
Brian D KilukDepartment of Psychiatry, Yale University School of Medicine, Temple Medical Building, Suite 6C, 40 Temple Street, New Haven, CT 06510, USA. Electronic address: brian.kiluk@yale.edu.
Charla NichDepartment of Psychiatry, Yale University School of Medicine, Temple Medical Building, Suite 6C, 40 Temple Street, New Haven, CT 06510, USA. Electronic address: charla.nich@yale.edu.
Theresa A BabuscioDepartment of Psychiatry, Yale University School of Medicine, Temple Medical Building, Suite 6C, 40 Temple Street, New Haven, CT 06510, USA. Electronic address: theresa.babuscio@yale.edu.
Jair J MariDepartment of Psychiatry, Federal University of Sao Paulo, Rua Major Maragliano 241, Vila Mariana, São Paulo, SP 04017-030, Brazil. Electronic address: jamari17@gmail.com.
Kathleen M CarrollDepartment of Psychiatry, Yale University School of Medicine, Temple Medical Building, Suite 6C, 40 Temple Street, New Haven, CT 06510, USA. Electronic address: kathleen.carroll@yale.edu.
Yale University · USUniversidade Federal de São Paulo · BRTemple University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1994 to 2018
$40.5M
The National Drug Abuse Treatment Clinical Trials Network (U10)U10DA015831 · NIDA · MC LEAN HOSPITAL (BELMONT, MA) · PI CARROLL, KATHLEEN M., WEISS, ROGER D. · 2002 to 2015
$28.8M
Computer-Based Training in Cognitve Behavioral TherapyR01DA015969 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 2002 to 2015
$2.8M
Computer Based Training in CBT for Spanish-Speaking Substance Users: Competitive RevisionR01DA030369 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M., PARIS, MANUEL · 2012 to 2017
$2.6M
Identification of a Meaningful Cocaine Use Outcome MeasureR33DA041661 · NIDA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2018 to 2020
$1.1M
Identification of a Meaningful Cocaine Use Outcome MeasureR21DA041661 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M., KILUK, BRIAN D. · 2016 to 2017
$456k
NCATS NIH HHS UL1 TR001863NIDA NIH HHS P50 DA009241NIDA NIH HHS R01 DA015969NIDA NIH HHS R01 DA030369NIDA NIH HHS R21 DA041661NIDA NIH HHS R33 DA041661NIDA NIH HHS U10 DA015831
6 · The paper itself

Abstract

backgroundMost published treatment trials for cocaine use disorders (CUD) have been conducted with samples composed predominantly of White men and underrepresent women and racial/ethnic minorities. Because of the high prevalence of men and White individuals in CUD treatment trials, results from studies that have compared treatment outcomes by gender and race or ethnicity separately may not be representative of women or racial/ethnic minorities.

methodsWith a sample pooled from seven randomized clinical trials of treatment for CUD (n = 629), baseline characteristics and treatment outcome responses were compared with 4 subgroups of individuals created based on the intersection of gender and race (White men, Black men, White women and Black women).

resultsAt baseline, sociodemographic status, pattern, frequency and severity of cocaine use, psychiatric comorbidities, employment and legal problems significantly differed across groups. Treatment outcome indicators collected during treatment and through follow-up, consistently indicated poorer outcomes among the sample of White women, but were similar for the other groups.

conclusionsMen and women with CUD from both racial groups enter treatment with different psychosocial issues (e.g., history of violence/trauma, financial problems, co-occurring psychiatric disorders) and substance use problems (e.g. types of substances) that may impact treatment outcomes and indicate a need for culturally-informed care to deliver more effective treatment for CUD. Poorer overall outcomes among White women may reflect the need for a more focused treatment approach for this group; and highlight the importance of evaluating gender and race in treatment trials to better address health disparities.

Indexed as

AdultBlack PeopleCocaine-Related DisordersFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareRandomized Controlled Trials as TopicSex FactorsWhite PeopleCocaine use disordersGender differencesRace differencesRandomized clinical trialTreatment outcomes

Identifiers

PMID31540613
PMCPMC6756185
OpenAlexW2971085260

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.