Evidence map›Paper›PMID 38036805›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Mass Spectrometry in Clinical Laboratory: Applications in Therapeutic Drug Monitoring and Toxicology.

Y Victoria Zhang, Uttam Garg

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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
4.2field-weighted citation impact, top 5% 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. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
  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

2 authors at 2 institutions in 1 country.

Y Victoria ZhangDepartment of Pathology and Laboratory Medicine, University of Rochester, Rochester, NY, USA.
Uttam GargDepartment of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, MO, USA. ugarg@cmh.edu.
Children's Mercy Hospital · USUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry (MS) coupled with liquid chromatography (LC) or gas chromatography (GC) has been proven to be a powerful platform in research and specialized clinical laboratories for decades. In clinical laboratories, it is used for compound identification and quantification. Due to the ability to provide specific identification, high sensitivity, and simultaneous analysis of multiple analytes (>100) in recent years, application of MS in routine clinical laboratories has increased significantly. Although MS is used in many laboratory areas, therapeutic drug monitoring, drugs of abuse, and clinical toxicology remain the primary focuses of the field. Due to rapid increase in the number of prescription drugs and drugs of abuse (e.g., novel psychoactive substances), clinical laboratories are challenged with developing new MS assays to meet the clinical needs of the patients. We are here to present "off-the-shelf" and "ready-to-use" protocols of recent developments in new assays to help the clinical laboratory community adopt the technology and analysis for the betterment of patient care.

Indexed as

Drug MonitoringLaboratories, ClinicalChromatography, LiquidGas Chromatography-Mass SpectrometryHumansMass SpectrometryClinical laboratoryDrugsGas chromatographyImmunoassaysLiquid chromatographyMass spectrometryTandem mass spectrometryTherapeutic drug monitoringTime of flightToxicology

Identifiers

PMID38036805
OpenAlexW4389208946

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.