Evidence map›Paper›PMID 30574336›Full record

ArticleJournal of pharmaceutical health care and sciences2018

Analysis of fall-related adverse events among older adults using the Japanese Adverse Drug Event Report (JADER) database.

Haruna Hatahira, Shiori Hasegawa, Sayaka Sasaoka, Yamato Kato, Junko Abe, Yumi Motooka, Akiho Fukuda, Misa Naganuma, Satoshi Nakao, Ririka Mukai and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical health care and sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  8. Evaluation of anti-infective-relatedInternational journal of medical sciences · 2020
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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

14 authors at 3 institutions in 1 country.

Haruna Hatahira1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Shiori Hasegawa1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Sayaka Sasaoka1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Yamato Kato1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Junko AbeMedical Database Co., Ltd., 3-11-10 Higashi, Shibuya-ku, Tokyo, 150-0011 Japan.
Yumi Motooka1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Akiho Fukuda1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Misa Naganuma1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Satoshi Nakao1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Ririka Mukai1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Kazuyo Shimada1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.
Kouseki HiradeDepartment of Pharmacy, Kizawa Memorial Hospital, Kobi-cho, Shimo-kobi 590, Minokamo-shi, Gifu, 505-8503 Japan.
Takeshi KatoDepartment of Pharmacy, Kizawa Memorial Hospital, Kobi-cho, Shimo-kobi 590, Minokamo-shi, Gifu, 505-8503 Japan.
Mitsuhiro Nakamura1Laboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4, Daigaku nishi, Gifu, 501-1196 Japan.ORCID 0000-0002-5062-5522
Gifu Pharmaceutical University · JPObayashi (Japan) · JPTaisei (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are a common but serious problem in older adults, and may lead to fractures and bleeding. As many factors, such as medication, aging, and comorbid diseases may simultaneously affect fall-related adverse events (AEs) in older adults, we evaluated the association between fall-related AEs and the use of medication, aging, and comorbid diseases using the Japanese Adverse Drug Event Report (JADER) database.

methodsWe analyzed reports of fall-related AEs associated with α-blockers, diuretics, calcium channel blockers, central nervous system (CNS)-active drugs (opioids, benzodiazepines, hypnotics and sedatives, non-selective monoamine reuptake inhibitors, and selective serotonin reuptake inhibitors (SSRI)) in the JADER database using the reporting odds ratio (ROR). For the definition of falls, we used the Preferred Terms of The Medical Dictionary for Regulatory Activities (MedDRA). We used the association rule mining technique to discover undetected associations, such as potential risk factors.

resultsThe JADER database comprised 430,587 reports between April 2004 and November 2016. The RORs (95% CI) of α-blockers, diuretics, calcium channel blockers, opioids, benzodiazepines, hypnotics and sedatives, non-selective monoamine reuptake inhibitors, and SSRIs were 1.63 (1.27-2.09), 0.74 (0.63-0.86), 1.26 (1.15-1.38), 0.93 (0.80-1.07), 1.83 (1.68-2.01), 1.55 (1.12-2.14), 2.31 (1.82-2.95), and 2.86 (2.49-3.29), respectively. From the

conclusionOur results suggest that the number of administered CNS-active drugs and patient age are both associated with fall-related AEs. We recommend that patients with herpes zoster treated with calcium channel blockers and benzodiazepines be closely monitored for fall-related AEs.

Indexed as

Adverse event reporting systemBenzodiazepineCalcium channel blockersFallHypnotics and sedativesJADER

Identifiers

PMID30574336
PMCPMC6296112
OpenAlexW2902291907

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.