Evidence map›Paper›PMID 42130447›Full record

ArticleBioanalysis2026

Comparison of 2D-LC and LC-MS/MS self- calibration internal standard method for the determination of quetiapine in serum.

Mengli Ding, Xiaodan Li, Bi Zhang, Xuefang Yan

Abstract readComparative Study
In one paragraph

Article in Bioanalysis, 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

4 authors.

Mengli DingDepartment of Clinical Laboratory, Qujing Third People's Hospital, Qujing, China.
Xiaodan LiDepartment of Clinical Laboratory, Qujing Third People's Hospital, Qujing, China.
Bi ZhangDepartment of Clinical Laboratory, Qujing Third People's Hospital, Qujing, China.
Xuefang YanDepartment of Clinical Laboratory, Qujing Third People's Hospital, Qujing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective2D-LC method and LC-MS/MS self-calibrated internal standard method were used to compared the consistency and correlation of quetiapineserum concentration.

methodsQuality control samples at low, medium, and high concentrations of quetiapine, as well as serum samples from 138 psychiatric patients taking quetiapine, were analyzed using 2D-LC and LC-MS/MS self-calibrated internal standard method, respectively. Performed a complete validation of both methods. The Bland-Altman plot was used to assess the consistency of the results, while Pearson correlation analysis and Passing-Bablok regression were used to analyze the correlation among the results. OUTCOMES: The linear range for 2D-LC was 60.74-1518.48 ng/ml, and the linear range for LC-MS/MS self-calibrated internal standard method was 60.88-1522.02 ng/ml. For both methods, the relative standard deviation of intraday and daily precision was less than 15%. Calculated using the Bland-Altman plot, the 95.65% LoA was (-11.85, 30.82). The Passing-Bablok regression equation was OLZ

conclusionThe 2D-LC and LC-MS/MS self-calibrated internal standard method, exhibit exceptional agreement and correlation in the quantification of quetiapine concentrations in serum. which can be used for conventional therapeutic drug monitoring (TDM).

Indexed as

Antipsychotic AgentsLiquid Chromatography-Mass SpectrometryQuetiapine FumarateTandem Mass SpectrometryCalibrationChromatography, LiquidHumansReference StandardsAntipsychotic AgentsQuetiapine Fumarate2D-LCLC-MS/MSquetiapineself-calibrated internal standard methodserum concentration

Identifiers

PMID42130447
PMCPMC13215313

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.