Evidence map›Paper›PMID 29464791›Full record

ArticleInternational journal of methods in psychiatric research2018

Comparing pharmacological treatments for cocaine dependence: Incorporation of methods for enhancing generalizability in meta-analytic studies.

Ryoko Susukida, Rosa M Crum, Hwanhee Hong, Elizabeth A Stuart, Ramin Mojtabai

Open access · bronzeAbstract readComparative StudyNetwork Meta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of methods in psychiatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 3 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Two-stage matching-adjusted indirect comparison.BMC medical research methodology · 2022
    Article
  5. 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

5 authors at 1 institution in 2 countries.

Ryoko SusukidaDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-0444-5368
Rosa M CrumDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Hwanhee HongDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Elizabeth A StuartDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Ramin MojtabaiDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · US

Funding

Estimating Population Effects in Mental Health Research Using Meta-AnalysisR00MH111807 · NIMH · DUKE UNIVERSITY · PI HONG, HWANHEE · 2018 to 2020
$747k
Generalizing RCT Efficacy Evidence: Application to NIDA Clinical Trials NetworkR01DA036520 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOJTABAI, RAMIN · 2014 to 2016
$723k
Estimating Population Effects in Mental Health Research Using Meta-AnalysisK99MH111807 · NIMH · JOHNS HOPKINS UNIVERSITY · PI HONG, HWANHEE · 2017 to 2018
$118k
NIDA NIH HHS R01 DA036520NIMH NIH HHS K99 MH111807NIMH NIH HHS R00 MH111807
6 · The paper itself

Abstract

objectivesFew head-to-head comparisons of cocaine dependence medications exist, and combining data from different randomized controlled trials (RCTs) is fraught with methodological challenges including limited generalizability of the RCT findings. This study applied a novel meta-analytic approach to data of cocaine dependence medications.

methodsData from 4 placebo-controlled RCTs (Reserpine, Modafinil, Buspirone, and Ondansetron) were obtained from the National Institute of Drug Abuse Clinical Trials Network (n = 456). The RCT samples were weighted to resemble treatment-seeking patients (Treatment Episodes Data Set-Admissions) and individuals with cocaine dependence in general population (National Survey on Drug Use and Health). We synthesized the generalized outcomes with pairwise meta-analysis using individual-level data and compared the generalized outcomes across the 4 RCTs with network meta-analysis using study-level data.

resultsWeighting the data by the National Survey on Drug Use and Health generalizability weight made the overall population effect on retention significantly larger than the RCT sample effect. However, there was no significant difference between the population effect and the RCT sample effect on abstinence. Weighting changed the ranking of the effectiveness across treatments.

conclusionsApplying generalizability weights to meta-analytic studies is feasible and potentially provides a useful tool in assessing comparative effectiveness of treatments for substance use disorders in target populations.

Indexed as

Meta-Analysis as TopicAdultAnti-Anxiety AgentsBuspironeCentral Nervous System StimulantsCocaine-Related DisordersFemaleHumansMaleModafinilNeurotransmitter AgentsOndansetronOutcome Assessment, Health CareRandomized Controlled Trials as TopicReserpineAnti-Anxiety AgentsBuspironeCentral Nervous System StimulantsModafinilNeurotransmitter AgentsOndansetronReserpinecocaine dependence treatmentgeneralizabilitymeta-analysisnetwork meta-analysispropensity score weighting

Identifiers

PMID29464791
PMCPMC6103900
OpenAlexW2792835882

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.