Evidence map›Paper›PMID 29267348›Full record

ArticlePloS one2017

Analysis of polypharmacy effects in older patients using Japanese Adverse Drug Event Report database.

Junko Abe, Ryogo Umetsu, Hiroaki Uranishi, Honami Suzuki, Yuri Nishibata, Yamato Kato, Natsumi Ueda, Sayaka Sasaoka, Haruna Hatahira, Yumi Motooka and 2 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

12 authors.

Junko AbeLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Ryogo UmetsuLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Hiroaki UranishiLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Honami SuzukiLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Yuri NishibataLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Yamato KatoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Natsumi UedaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Sayaka SasaokaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Haruna HatahiraLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Yumi MotookaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Mayuko MasutaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.
Mitsuhiro NakamuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi, Gifu, Japan.ORCID 0000-0002-5062-5522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population aging is a global phenomenon, and choosing appropriate medical care for the elderly is critical. Polypharmacy is suspected to increase the risk of adverse events (AEs) in older patients. We examined the AE profiles associated with polypharmacy and aging using the Japanese Adverse Drug Event Report (JADER) database. We attempted to mitigate the effect of patient-related factors using a multiple-logistic regression technique and data subsetting. We selected case reports for AEs as specified in the Medical Dictionary for Regulatory Activities (MedDRA). The association between polypharmacy and "renal disorder" or "hepatic disorder" was evaluated using reporting odds ratio (ROR) and adjusted for covariates using multiple-logistic regression. For renal disorder, advanced polypharmacy showed higher adjusted RORs, because the value of administered drugs group [1.82 (1.76-1.88), ≥ 10] was higher than that of the number of administered drugs group [1.27 (1.24-1.31), 5-9]. The lower limit of the 95% confidence interval (CI) of adjusted ROR for age (≥ 60 years) was > 1 for renal disorder. For hepatic disorder, the adjusted RORs were as follows: 1.17 (1.14-1.20) for the number of administered drugs group (5-9) and 1.14 (1.11-1.18) for the number of administered drugs group (≥ 10). The adjusted RORs of hepatic disorder compared to those of renal disorder had lower adjusted RORs related to the increase in the number of administered drugs. Therefore, elderly individuals should be closely monitored for the occurrence of renal disorder when they are subjected to polypharmacy. This approach might apply to the simultaneous evaluation of the AE risk of polypharmacy and aging.

Indexed as

Adverse Drug Reaction Reporting SystemsPolypharmacyAgedFemaleHumansJapanMale

Identifiers

PMID29267348
PMCPMC5739473

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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.