Evidence map›Paper›PMID 34767948›Full record

ArticleAlcohol (Fayetteville, N.Y.)2022

Comparison of automated determination of phosphatidylethanol (PEth) in dried blood spots (DBS) with previous manual processing and testing.

Robin Fatch, Marc Luginbühl, Debbie M Cheng, Stefan Gaugler, Nneka I Emenyonu, Christine Ngabirano, Julian Adong, Winnie R Muyindike, Jeffrey H Samet, Kendall Bryant and 1 more

Open access · greenAbstract read
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 4 institutions in 2 countries.

Robin FatchDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, United States.
Marc LuginbühlCAMAG DBS Laboratory, Muttenz, Switzerland.
Debbie M ChengBoston University School of Public Health, Boston, MA, United States.
Stefan GauglerCAMAG DBS Laboratory, Muttenz, Switzerland.
Nneka I EmenyonuDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, United States.
Christine NgabiranoMbarara University of Science and Technology, Mbarara, Uganda.
Julian AdongMbarara University of Science and Technology, Mbarara, Uganda.
Winnie R MuyindikeMbarara University of Science and Technology, Mbarara, Uganda.
Jeffrey H SametBoston University School of Public Health, Boston, MA, United States; Boston University School of Medicine; Boston Medical Center, Boston, MA, United States.
Kendall BryantNational Institute of Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, United States.
Judith A HahnDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, United States; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States. Electronic address: judy.hahn@ucsf.edu.
Mbarara University of Science and Technology · UGUniversity of California, San Francisco · USBoston University · USNational Institutes of Health · US

Funding

URBAN ARCH (3/5) Uganda Cohort TB preventive therapy for HIV-infected alcohol users in Uganda: an evaluation of safety tolerability and adherenceU01AA020776 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2011 to 2021
$4.7M
URBAN ARCH (2/5) Biostatistics and Data Management Core (BDM)U24AA020779 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHENG, DEBBIE M. · 2011 to 2020
$3.6M
Training in Research Program on Alcohol Use by Persons with our at Risk for HIVK24AA022586 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2013 to 2023
$1.8M
NIAAA NIH HHS K24 AA022586NIAAA NIH HHS U01 AA020776NIAAA NIH HHS U24 AA020779
6 · The paper itself

Abstract

Phosphatidylethanol (PEth) is a sensitive and specific biomarker of alcohol consumption in the prior 2-3 weeks. Standard, manual PEth testing using dried blood spots (DBS) is a multi-step time-consuming process. A novel, automated processing and testing method has been developed to decrease DBS processing and testing time. We conducted automated testing, using regioisomerically pure PEth reference material, on randomly selected DBS, which had previously been tested via manual methods and then stored for 3-6 years at -80 °C, to compare the results (PEth 16:0/18:1 homologue). We chose samples for re-testing using categories found in the literature as follows: 1) PEth <20 ng/mL; 2) PEth 20-200 ng/mL; 3) PEth >200-1000 ng/mL; 4) PEth >1000 ng/mL. We calculated agreement between the categories using the weighted kappa statistic (n = 49 DBS). We quantified agreement between continuous measures using the intraclass correlation coefficient (ICC), and further described the relationship between variables using Spearman correlation. The median PEth result was 155 ng/mL (interquartile range [IQR]: 1-1312 ng/mL) via automated methods and 98.8 ng/mL (IQR: 10.2-625.0 ng/mL) via manual methods. The weighted kappa comparing the automated to manual PEth results was 0.76 [95% Confidence Interval (CI): 0.66-0.86]. The ICC was 0.69 (95% CI: 0.54-0.79), and the Spearman correlation was 0.98 (95% CI: 0.95-0.99). While the new methods yielded somewhat higher PEth values, we found good to excellent agreement between clinically relevant PEth categories. Automated DBS processing and testing using new reference standards are promising methods for PEth testing.

Indexed as

Dried Blood Spot TestingGlycerophospholipidsAlcohol DrinkingBiomarkersBiomarkersGlycerophospholipidsphosphatidylethanolAlcohol biomarkerAutomatedDried blood spotsLC-MS/MSPEthPhosphatidylethanol

Identifiers

PMID34767948
PMCPMC9829025
OpenAlexW3214281387

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.