Evidence map›Paper›PMID 36362475›Full record

ArticleJournal of clinical medicine2022

Evaluation of Factors Associated with Adverse Drug Events in South Korea Using a Population-Based Database.

Eunkyeong Choi, Siin Kim, Hae Sun Suh

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Eunkyeong ChoiCollege of Pharmacy, Pusan National University, Busan 46241, Korea.ORCID 0000-0002-9698-5857
Siin KimCollege of Pharmacy, Kyung Hee University, Seoul 02447, Korea.
Hae Sun SuhCollege of Pharmacy, Kyung Hee University, Seoul 02447, Korea.ORCID 0000-0003-3445-6607

Funding

Ministry of Food and Drug Safety 21153MFDS601National Research Foundation of Korea 2020R1F1A1069526
6 · The paper itself

Abstract

This retrospective study aims to investigate the factors associated with the occurrence of ADEs using nationally representative claims data. All patients with at least one claim with diagnosis codes denoting potential ADE between 1 July 2015 and 31 December 2015 were included. Potential ADE was defined as ADE identified in the claims data, because it was not verified. The index date was defined as the date of the first claim with potential ADEs. Demographic data were collected at the index date, while data on comorbidities and number of medications used were collected six months before the index date. Multivariate logistic regression was used to explore the association between potential ADEs and several factors, including sex, age group, insurance type, comorbidities, and number of prescribed medications. Patients with potential ADEs were older, had more chronic diseases, and used more medications than those without potential ADEs. In the multivariate analysis, occurrence of potential ADEs was associated with age (≥65 years, odds ratio [OR] 1.15, 95% confidence interval [CI] 1.08-1.21), Medical Aid program (OR 1.37, 95% CI 1.27-1.47), Charlson Comorbidity Index scores (≥5, OR 2.87, 95% CI 2.56-3.20), and use of six or more medications (6-10 medications, OR 1.89, 95% CI 1.79-1.99). Age, Medical Aid program, comorbidities, and number of medications were associated with occurrence of potential ADEs.

Indexed as

adverse drug eventsclaims datamultivariate logistic regressionrisk factor

Identifiers

PMID36362475
PMCPMC9657773

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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.