Evidence map›Paper›PMID 32015884›Full record

ArticleAcute medicine & surgery

Diagnostic accuracy for drug detection using liquid chromatography/mass spectroscopy in overdose patients.

Gen Yagihashi, Takehiko Tarui, Hiroyuki Miyagi, Hiroaki Ohnishi, Takashi Watanabe, Yoshihiro Yamaguchi

Open access · goldAbstract read
In one paragraph

Article in Acute medicine & surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
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

6 authors at 1 institution in 1 country.

Gen YagihashiDepartment of Trauma and Critical Care Medicine Kyorin University School of Medicine Tokyo Japan.
Takehiko TaruiDepartment of Trauma and Critical Care Medicine Kyorin University School of Medicine Tokyo Japan.ORCID https://orcid.org/0000-0002-2519-7052
Hiroyuki MiyagiDepartment of Laboratory Medicine Kyorin University School of Medicine Tokyo Japan.
Hiroaki OhnishiDepartment of Laboratory Medicine Kyorin University School of Medicine Tokyo Japan.
Takashi WatanabeDepartment of Laboratory Medicine Kyorin University School of Medicine Tokyo Japan.
Yoshihiro YamaguchiDepartment of Trauma and Critical Care Medicine Kyorin University School of Medicine Tokyo Japan.
Kyorin University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimInformation about the causative drugs is essential for appropriate treatment for drug overdose, but patients sometimes cannot provide information about overdosed drugs owing to disturbed consciousness or an unwillingness to cooperate with treatment. The purpose of this study was to decide whether liquid chromatography/mass spectroscopy (LC/MS) is useful as a detection method for overdosed drugs.

methodsOverdose patients (

resultsPatients overdosed on 3.2 kinds of drugs and were transferred to our hospital 4.6 h after. Overall 3.5 kinds of drugs were detected by LC/MS, and 2.4, 1.9, and 2.2 kinds were from the stomach, blood, and urine, respectively. Matching rate among the ingested drugs (kinds of drugs matched/ones ingested) was the highest in the gastric samples (0.56), and the lowest in the urine samples (0.46) (

conclusionLiquid chromatography/mass spectroscopy was proven to be an effective method to detect overdosed drugs, especially when there was not enough information about the drugs ingested.

Indexed as

Detectiondrug overdoseliquid chromatographymass spectroscopypoisoningscreeningtoxicology

Identifiers

PMID32015884
PMCPMC6992432
OpenAlexW3003184980

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.