Evidence map›Paper›PMID 36454407›Full record

ArticleForensic toxicology2022

Comparison of serum and whole blood concentrations in quetiapine overdose cases.

Takeshi Saito, Tomoatsu Tsuji, Akira Namera, Seiji Morita, Yoshihide Nakagawa

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Forensic toxicology, 2022. 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
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Takeshi SaitoDepartment of Emergency and Critical Care Medicine, Tokai University School of Medicine, Kanagawa, Japan. saito@is.icc.u-tokai.ac.jp.ORCID 0000-0003-4517-2060
Tomoatsu TsujiDepartment of Emergency and Critical Care Medicine, Tokai University School of Medicine, Kanagawa, Japan.
Akira NameraDepartment of Forensic Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Seiji MoritaDepartment of Emergency and Critical Care Medicine, Tokai University School of Medicine, Kanagawa, Japan.
Yoshihide NakagawaDepartment of Emergency and Critical Care Medicine, Tokai University School of Medicine, Kanagawa, Japan.
Tokai University · JPHiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to compare whole blood and serum concentrations of quetiapine in acute poisoning cases. Authentic whole blood and respective serum samples were routinely collected from patients diagnosed with blood poisoning at our University Hospital. Accordingly, whole blood and serum paired samples from nine patients (one male and eight female patients) were analyzed for quetiapine using liquid chromatography-mass spectrometry (LC-MS). Quetiapine concentrations in whole blood and serum samples ranged widely from 5.4 to 2780 ng/mL and 9.9 to 2500 ng/mL, respectively. The whole blood/serum concentration ratio was 0.5-1.1 and increased together with an increase in whole blood and serum quetiapine concentrations. The ratio was reversed at around 2500 ng/mL to > 1. Our findings suggest that whole blood concentrations are more useful than serum concentrations in diagnosing quetiapine poisonings.

Indexed as

BacteremiaDrug OverdoseSepsisToxemiaFemaleHumansMaleQuetiapine FumarateQuetiapine FumarateAcute quetiapine poisoningDiagnosisTherapeutic drug concentrationsWhole blood/serum concentration ratios

Identifiers

PMID36454407
OpenAlexW4220956652

What OpenQuestion holds

Textmetadata
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.