Evidence map›Paper›PMID 29488017›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2018

Network analysis of drug-related problems in hospitalized patients with hematologic malignancies.

Myeong Gyu Kim, Chae Reen Jeong, Hyun Jee Kim, Jae Hyun Kim, Yun-Kyoung Song, Kyung Im Kim, Eunhee Ji, Sung-Soo Yoon, Youngil Koh, Yoon-Sook Cho and 2 more

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2018. 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
1.0field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Nationwide prevalence of potential drug-drug interactions associated with non-anticancer agents in patients on oral anticancer agents in South Korea.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Article
  5. Article
  6. Article
  7. A chronological pharmacovigilance network analytics approach for predicting adverse drug events.Journal of the American Medical Informatics Association : JAMIA · 2018
    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

12 authors at 5 institutions in 1 country.

Myeong Gyu KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-742, South Korea.
Chae Reen JeongCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-742, South Korea.
Hyun Jee KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-742, South Korea.
Jae Hyun KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-742, South Korea.
Yun-Kyoung SongCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-742, South Korea.
Kyung Im KimCollege of Pharmacy, Korea University, Sejong, South Korea.
Eunhee JiCollege of Pharmacy, Gachon University, Incheon, South Korea.
Sung-Soo YoonDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Youngil KohDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Yoon-Sook ChoDepartment of Pharmacy, Seoul National University Hospital, Seoul, South Korea.
In-Wha KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-742, South Korea.
Jung Mi OhCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-742, South Korea. jmoh@snu.ac.kr.
Seoul National University · KRCHA University · KRGachon University · KRKorea University · KRSeoul National University Hospital · KR

Funding

National Research Foundation of Korea BK Plus 2017
6 · The paper itself

Abstract

purposeNetwork analysis was conducted to systematically analyze the relationship between causative drugs and types of drug-related problems (DRPs) in hospitalized patients with hematologic malignancies.

methodsA total of 1187 DRPs identified in hematology wards between 2013 and 2015 were analyzed. DRPs were classified into 11 sub-domains for problems and 35 sub-domains for causes according to Pharmaceutical Care Network Europe classification. Causative drugs were classified by Anatomical Therapeutic Chemical code. Network analytic tool was used to represent the relationship between drugs, causes, and problems. In-degree centrality (C

resultsThe following drugs accounted for more than 5% of DRP, including antibacterials (J01, 26.5%), drugs for acid-related disorders (A02, 11.5%), antiemetics (A04, 9.7%), antifungals (J02, 8.8%), and antineoplastic agents (L01, 7.0%). Inappropriate combinations (C1.3, C

conclusionsDRPs were mainly related to medications for supportive care. More attention should be paid to interactions of drugs used for acid-related disorders, dose adjustment of antibacterials, and omission of antiemetics in hospitalized patients with hematologic malignancy.

Indexed as

Drug-Related Side Effects and Adverse ReactionsFemaleHematologic NeoplasmsHospitalizationHumansInpatientsMaleMiddle AgedRetrospective StudiesDrug-related problemHematologic malignancyInpatientNetwork analysis

Identifiers

PMID29488017
OpenAlexW2790286994

What OpenQuestion holds

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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.