Evidence map›Paper›PMID 36733286›Full record

ArticleFrontiers in public health2022

The risk assessment of relapse among newly enrolled participants in methadone maintenance treatment: A group-LASSO based Bayesian network study.

Xijia Tang, Chaonan Fan, Chijie Wang, Wenjuan Wang, Zouxiang Chen, Chaofan Xu, Li Ling

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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, 6 citations in OpenAlex.

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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 2 institutions in 1 country.

Xijia TangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Chaonan FanDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Chijie WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Wenjuan WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Zouxiang ChenDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Chaofan XuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Li LingDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Sun Yat-sen University · CNSun Yat-sen Memorial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Relapse is a great barrier to improving the effectiveness of methadone maintenance treatment (MMT). Participants with different treatment durations could vary in their compliance with MMT, which may lead to different levels of relapse risk. This study aims to identify the risk factors for relapse and assess the relapse risk of MMT participants of different treatment durations. Method: This retrospective study used data collected from seven MMT clinics in Guangdong Province, China, from January 2010 to April 2017. Newly enrolled participants who received 6 ( Results: The results showed that participants who received 6-month treatment had a lower relapse rate (32.0%) than those of 12-month treatment (39.0%, Conclusion: It is necessary to implement targeted interventions and education based on the treatment durations of participants to decrease the relapse rate. Meanwhile, those about HIV/sexually transmitted infection prevention and anti-narcotics should be held in the whole process.

Indexed as

HIV InfectionsBayes TheoremHumansMethadoneOpiate Substitution TreatmentRetrospective StudiesRisk AssessmentMethadoneBayesian networksmethadone maintenance treatmentrelapserisk assessmenttreatment duration

Identifiers

PMID36733286
PMCPMC9886899
OpenAlexW4316669494

What OpenQuestion holds

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LicenceCC BY
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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.