Evidence map›Paper›PMID 29123730›Full record

ArticleAcute medicine & surgery2015

Characteristics and trends of emergency patients with drug overdose in Osaka.

Yoshie Kubota, Kohei Hasegawa, Hirokazu Taguchi, Tetsuhisa Kitamura, Chika Nishiyama, Taku Iwami, Tatsuya Nishiuchi, Atsushi Hiraide

Abstract read
In one paragraph

Article in Acute medicine & surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Analysis of psychotropic drug-related deaths in south Osaka.Substance abuse and rehabilitation · 2018
    Article
  4. Observational
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

8 authors.

Yoshie KubotaDepartment of Acute Medicine Faculty of Medicine Kinki University Boston Massachusetts.
Kohei HasegawaDepartment of Emergency Medicine Harvard Medical School Massachusetts General Hospital Boston Massachusetts.
Hirokazu TaguchiDepartment of Acute Medicine Faculty of Medicine Kinki University Boston Massachusetts.
Tetsuhisa KitamuraDepartment of Social and Environmental Medicine Division of Environmental Medicine and Population Sciences Graduate School of Medicine Osaka University Osaka Japan.
Chika NishiyamaDepartment of Critical Care Nursing School of Human Health Science Graduate School of Medicine Kyoto University Health Service Kyoto Japan.
Taku IwamiKyoto University Health Service Kyoto Japan.
Tatsuya NishiuchiDepartment of Acute Medicine Faculty of Medicine Kinki University Boston Massachusetts.
Atsushi HiraideDepartment of Acute Medicine Faculty of Medicine Kinki University Boston Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Drug overdose is an important issue in emergency medicine. However, studies covering overdose patients transported by ambulance have not been sufficiently carried out. We attempted to clarify problems of suspected drug overdose patients transported by ambulance. Methods: This is a prospective population-based cohort study. Data were collected by emergency medical service crews in Osaka City, Japan, between January 1998 and December 2010. Results: Drug overdose cases increased annually from 1,136 in 1998 to 1,822 in 2010 ( Conclusion: The characteristics of drug overdose patients are clearly different from those of non-overdose patients. Recent trends of drug overdose patients indicate the accelerated burden on emergency medical services system.

Indexed as

Ambulance diversiondrug overdoseemergency medical serviceshospital arrival timetransportation of patients

Identifiers

PMID29123730
PMCPMC5649283

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.