Evidence map›Paper›PMID 34365065›Full record

Observational studyThe American journal of emergency medicine2021

Influence of Pennsylvania liquor store closures during the COVID-19 pandemic on alcohol withdrawal consultations.

Alexandra M Amaducci, Ali R Yazdanyar, Derek J Fikse, Jasdip Kaur, Andrew L Koons, Gillian A Beauchamp, Robert D Cannon, Ryan M Surmaitis, Matthew D Cook, Kenneth D Katz

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The American journal of emergency medicine, 2021. 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
0.9field-weighted citation impact, top 27% 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, 6 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

10 authors at 2 institutions in 1 country.

Alexandra M AmaducciLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America. Electronic address: Alexandra.Amaducci@lvhn.org.
Ali R YazdanyarLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Derek J FikseLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Jasdip KaurLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Andrew L KoonsLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Gillian A BeauchampLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Robert D CannonLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Ryan M SurmaitisLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Matthew D CookLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Kenneth D KatzLehigh Valley Health Network, USF Morsani College of Medicine, Allentown, PA, United States of America.
Lehigh Valley Hospital-Pocono · USLehigh Valley Health Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlcohol withdrawal syndrome (AWS) is a serious consequence of alcohol use disorder (AUD). Due to the current COVID-19 pandemic there was a closure of Pennsylvania (PA) liquor stores on March 17, 2020.

methodsThis is a retrospective, observational study of AWS patients presenting to a tertiary care hospital. We used descriptive statistics for continuous and categorical variables and compared AWS consults placed to the medical toxicology service for six months preceding liquor store closure to those placed between March 17, 2020 and August 31, 2020. We compared this to consults placed to the medical toxicology service placed from October 1, 2019 through March 16, 2020. Charts were identified based on consults placed to the medical toxicology service, and alcohol withdrawal was determined via chart review by a medical toxicologist. This study did not require IRB approval. We evaluated Emergency Department (ED) length of stay (LOS), weekly and monthly consultation rate, rate of admission and ED recidivism, both pre- and post-liquor store closure.

resultsA total of 324 AWS consults were placed during the ten month period. 142 (43.8%) and 182 (56.2%) consults were pre- and post-liquor store closure. The number of consults was not statistically significant comparing these two time frames. There was no significant difference by patient age, gender, or race or by weekly or monthly consultation rate when comparing pre- and post-liquor store periods. The median ED LOS was 7 h (95% Confidence Interval (CI) Larson et al. (2012), Pollard et al. (2020) [5, 11]) and did not significantly differ between pre- and post-liquor store periods (p = 0.78). 92.9% of AWS patients required admission without significant difference between the pre- and post-liquor store closure periods (94.4% vs. 91.8%, p = 0.36). There was a significant increase in the number of AWS patients requiring a return ED visit (Odds Ratio 2.49; 95% CI [1.38, 4.49]) post closure.

conclusionThere were nearly 2.5 times greater odds of ED recidivism among post-liquor store closure AWS patients compared with pre-closure AWS patients.

Indexed as

Alcoholic BeveragesAdultAlcoholismCommunicable Disease ControlCOVID-19Emergency Service, HospitalFacilities and Services UtilizationFemaleHospitalizationHumansMaleMiddle AgedPennsylvaniaReferral and ConsultationRetrospective StudiesSubstance Withdrawal SyndromeAlcohol use disorderAlcohol withdrawalCOVID-19Toxicology

Identifiers

PMID34365065
PMCPMC8631575
OpenAlexW3192158536

What OpenQuestion holds

Textmetadata
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.