Evidence map›Paper›PMID 33356343›Full record

ArticleArchives of Iranian medicine2020

Unsafe Injection Is Associated with Higher HIV Testing after Bayesian Adjustment for Unmeasured Confounding.

Soodabeh Navadeh, Ali Mirzazadeh, Willi McFarland, Phillip Coffin, Mohammad Chehrazi, Kazem Mohammad, Maryam Nazemipour, Mohammad Ali Mansournia, Lawrence C McCandless, Kimberly Page

Abstract read
In one paragraph

Article in Archives of Iranian medicine, 2020. 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
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.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Soodabeh NavadehGlobal Health Sciences, University of California, San Francisco, CA, USA.ORCID 0000-0003-2566-843X
Ali MirzazadehGlobal Health Sciences, University of California, San Francisco, CA, USA.
Willi McFarlandDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Phillip CoffinSan Francisco Department of Public Health, San Francisco, CA, USA.
Mohammad Chehrazi
Kazem MohammadDepartment of Biostatistics and Epidemiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran.
Maryam NazemipourPsychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Ali MansourniaDepartment of Biostatistics and Epidemiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran.ORCID 0000-0003-3343-2718
Lawrence C McCandlessFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Kimberly PageDepartment of Internal Medicine, Division of Epidemiology, Biostatistics and Preventive Medicine, University of New Mexico Health Sciences Center.

Funding

Acute Hepatitis C Infection in Young InjectorsR01DA016017 · NIDA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI PAGE, KIMBERLY · 2002 to 2018
$14.0M
Int'l Traineeships in AIDS Prevention Studies (ITAPS)R25MH064712 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINDAN, CHRISTINA P · 2002 to 2018
$3.4M
Midcareer K24 Award for Mentoring and Patient-Oriented ResearchK24DA042720 · NIDA · SAN FRANCISCO DEPARTMENT OF PUBLIC HEALTH · PI PHILLIP O COFFIN · 2016 to 2026
$1.6M
NIDA NIH HHS K24 DA042720NIDA NIH HHS R01 DA016017NIMH NIH HHS R25 MH064712
6 · The paper itself

Abstract

backgroundTo apply a novel method to adjust for HIV knowledge as an unmeasured confounder for the effect of unsafe injection on future HIV testing.

methodsThe data were collected from 601 HIV-negative persons who inject drugs (PWID) from a cohort in San Francisco. The panel-data generalized estimating equations (GEE) technique was used to estimate the adjusted risk ratio (RR) for the effect of unsafe injection on not being tested (NBT) for HIV. Expert opinion quantified the bias parameters to adjust for insufficient knowledge about HIV transmission as an unmeasured confounder using Bayesian bias analysis.

resultsExpert opinion estimated that 2.5%-40.0% of PWID with unsafe injection had insufficient HIV knowledge; whereas 1.0%-20.0% who practiced safe injection had insufficient knowledge. Experts also estimated the RR for the association between insufficient knowledge and NBT for HIV as 1.1-5.0. The RR estimate for the association between unsafe injection and NBT for HIV, adjusted for measured confounders, was 0.96 (95% confidence interval: 0.89,1.03). However, the RR estimate decreased to 0.82 (95% credible interval: 0.64, 0.99) after adjusting for insufficient knowledge as an unmeasured confounder.

conclusionOur Bayesian approach that uses expert opinion to adjust for unmeasured confounders revealed that PWID who practice unsafe injection are more likely to be tested for HIV - an association that was not seen by conventional analysis.

Indexed as

BiasAdultBayes TheoremDrug UsersFemaleHIV InfectionsHIV SeropositivityHIV TestingHumansMaleProspective StudiesRegression AnalysisRisk-TakingSan FranciscoSubstance Abuse, IntravenousYoung AdultBayesian AnalysisDrug injectionsHIVUnmeasured confounderUnsafe injection

Identifiers

PMID33356343
PMCPMC9844981

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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.