Evidence map›Paper›PMID 42769445›Full record

ArticleAnalytical science advances2026

Automated Metadata Review to Support Result Release in Quantitative Liquid Chromatography Coupled With Tandem Mass Spectrometry Applications.

Verena Endt, Katharina Habler, Michael Vogeser

Abstract read
In one paragraph

Article in Analytical science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Verena Endt *Institute of Laboratory Medicine, LMU University Hospital, LMU Munich Munich Germany.
Katharina Habler *Institute of Laboratory Medicine, LMU University Hospital, LMU Munich Munich Germany.ORCID https://orcid.org/0000-0002-5110-346X
Michael VogeserInstitute of Laboratory Medicine, LMU University Hospital, LMU Munich Munich Germany.ORCID https://orcid.org/0000-0002-2745-2475

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative multi-target analysis of biological samples using isotope-dilution liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) is widely applied in laboratory diagnostics and life sciences now. These analyses generate a large amount of metadata (e.g. ion ratios, peak width, etc.) that must be reviewed before results can be released. Until now, these complex and time-consuming tasks are performed mainly by technicians without dedicated software support. To explore whether practical tools for supporting result validation and release can be developed using standard spreadsheet software. A script, named MS Excel-based evaluation macro (MSVal), was developed in Microsoft Excel. Data sets from the quantification software of an LC-MS/MS system are imported into this tool. Validation criteria as quality assurance rules for analytical series and individual samples are defined within MSVal. The tool's functionality was evaluated using datasets from cystic fibrosis transmembrane conductance regulator (CFTR)-modulator therapeutic drug monitoring (TDM) analytical series. After importing raw MS data, MSVal generates a list of results that meet predefined validation criteria. MSVal also produces a validation report for each analytical series. Results that do not meet validation criteria are highlighted and must be specifically addressed by the operator during the release process. MSVal was successfully tested with real-world datasets. The development of software applications to support validation and result release in quantitative isotope-dilution LC-MS/MS analysis is feasible using standard software. Further refinement and progression toward commercial solutions appear valuable to close a significant gap in the clinical application of mass spectrometry.

Indexed as

data managementLC‐MS/MSmetadatapeak reviewquality assuranceresult release

Identifiers

PMID42769445
PMCPMC13590813

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.