Evidence map›Paper›PMID 42499290›Full record

ArticleClinical and translational science2026

Population Pharmacokinetics of Rituximab in Treatment-Naïve Chinese Patients With Diffuse Large B-cell Lymphoma During Induction Therapy: Clinical Implications.

Wan-Yi Zhou, Jing Ling, Meng-Meng Guan, Ying Qu, Ying-Hui Dan, Rong Chen

Abstract read
In one paragraph

Article in Clinical and translational science, 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

6 authors.

Wan-Yi ZhouDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID 0009-0005-0045-4015
Jing LingDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID 0000-0001-6880-9664
Meng-Meng GuanDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID 0009-0005-3538-3296
Ying QuDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID 0009-0007-4607-9593
Ying-Hui DanDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID 0009-0001-8776-4956
Rong ChenDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID 0009-0001-2343-0105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to establish and validate a population pharmacokinetic model for rituximab during induction therapy in treatment-naive patients with diffuse large B-cell lymphoma, identify covariates affecting key pharmacokinetic parameters, and predict exposure. This retrospective study included newly diagnosed patients receiving rituximab-containing induction regimens. Blood samples were collected before the next dose and after completion of the current dose across different chemotherapy cycles during the induction therapy; plasma concentrations were measured by chemiluminescent immunoassay. A nonlinear mixed-effects model was developed and externally validated. Individual parameters were obtained using empirical Bayesian methods, and first-cycle trough concentrations were predicted. For model building, 45 patients and 115 samples were included; external validation used 12 patients and 28 samples. Rituximab pharmacokinetics were described by a two-compartment model. Representative estimates were: clearance 0.0181 L/h, central volume 8.12 L, intercompartmental clearance 0.0213 L/h, peripheral volume 29.2 L. Albumin-globulin ratio was the final covariate and significantly affected clearance. Validation indicated good stability and predictive performance. Predicted first-cycle trough concentrations were below the reference efficacy threshold, and lower troughs were associated with smaller albumin-globulin ratios. This model quantified the effect of albumin-globulin ratio on clearance and suggests a risk of insufficient rituximab exposure during induction therapy, supporting future individualized dosing and therapeutic drug monitoring.

Indexed as

Antineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsLymphoma, Large B-Cell, DiffuseModels, BiologicalRituximabAdultAgedBayes TheoremChinaEast Asian PeopleFemaleHumansInduction ChemotherapyMaleMiddle AgedPrednisoneAntineoplastic Agents, ImmunologicalPrednisoneRituximabDiffuse large B‐cell lymphomaPopulation pharmacokineticsRituximabTrough concentration

Identifiers

PMID42499290
PMCPMC13401150

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.