Evidence map›Paper›PMID 30763386›Full record

ArticlePloS one2019

Differential completeness of spontaneous adverse event reports among hospitals/clinics, pharmacies, consumers, and pharmaceutical companies in South Korea.

In-Sun Oh, Yeon-Hee Baek, Hye-Jun Kim, Mose Lee, Ju-Young Shin

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
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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

5 authors.

In-Sun OhSchool of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do, South Korea.
Yeon-Hee BaekSchool of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do, South Korea.
Hye-Jun KimSchool of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do, South Korea.
Mose LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do, South Korea.
Ju-Young ShinSchool of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do, South Korea.ORCID 0000-0002-2791-1037

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The differential pattern and characteristics of completeness in adverse event (AE) reports generated by hospitals/clinics, pharmacies, consumer and pharmaceutical companies remain unknown. Thus, we identified the characteristics of complete AE reports, compared with those of incomplete AE reports, using a completeness score. We used Korea Institute of Drug Safety and Risk Management-Korea Adverse Event Reporting System Database (KIDS-KD) between January 1, 2016 and December 31, 2016. The completeness score was determined out of a total of 100 points, based on the presence of information on temporal relationships, age and sex of patients, AE progress, name of reported medication, reporting group by profession, causality assessment, and informational text. AE reports were organized into four groups based on affiliation: hospitals/clinics, pharmacies, consumers, and pharmaceutical companies. Affiliations that had median completeness scores greater than 80 points were classified as 'well-documented' and these reports were further analyzed by logistic regression to estimate the adjusted odds ratios and 95% confidence intervals. We examined 228,848 individual reports and 735,745 drug-AE combinations. The median values of the completeness scores were the highest for hospitals/clinics (95 points), followed by those for consumers (85), pharmacies (75), and manufacturers (72). Reports with causality assessment of 'certain', 'probable', or 'possible' were more likely to be 'well-documented' than reports that had causality assessments of 'unlikely'. Serious reports of AEs were positively associated with 'well-documented' reports and negatively associated with hospitals/clinics.

Indexed as

Databases, FactualAdverse Drug Reaction Reporting SystemsDrug IndustryDrug-Related Side Effects and Adverse ReactionsHospitalsHumansLogistic ModelsOdds RatioPharmaciesRepublic of Korea

Identifiers

PMID30763386
PMCPMC6375612

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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.