Evidence map›Paper›PMID 35983041›Full record

SynthesisFrontiers in immunology2022

Population pharmacokinetic models of anti-PD-1 mAbs in patients with multiple tumor types: A systematic review.

Jingyuan Shang, Lin Huang, Jing Huang, Xiaolei Ren, Yi Liu, Yufei Feng

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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  8. Biological sex differences in pharmacokinetics and adverse drug reactions.Naunyn-Schmiedeberg's archives of pharmacology · 2026
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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 at 2 institutions in 1 country.

Jingyuan ShangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Lin HuangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Jing HuangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Xiaolei RenDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Yi LiuDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Yufei FengDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims and background: A number of population pharmacokinetic (PPK) models of anti-programmed cell death-1 (PD-1) monoclonal antibodies (mAbs) in multiple tumor types have been published to characterize the influencing factors of their pharmacokinetics. This review described PPK models of anti-PD-1 mAbs that investigate the magnitude and types of covariate effects in PK parameters, provide a reference for building PPK models of other anti-PD-1 mAbs, and identify areas requiring additional research to facilitate the application of PPK models. Methods: A systematic search for analyses of PPK models of eleven anti-PD-1 mAbs on the market that were carried out in humans was conducted using PubMed, Embase, and the Cochrane Library. The search covered the period from the inception of the databases to April 2022. Results: Currently, there are fourteen analyses on PPK models of anti-PD-1 mAbs summarized in this review, including seven models that refer to nivolumab, four referring to pembrolizumab, one referring to cemiplimab, one referring to camrelizumab, and one referred to dostarlimab. Most analyses described the pharmacokinetics of anti-PD-1 mAbs with a two-compartment model with time-varying clearance (CL) and a sigmoidal maximum effect. The estimated CL and volume of distribution in the central (V Conclusion: This review provides detailed information about the characteristics of PPK models of anti-PD-1 mAbs, the effects of covariates on PK parameters, and the current status of the application of the models. ALB, BW, specific tumor type, sex, and PS should be considered for the future development of the PPK model of anti-PD-1 mAbs. Other potential covariates that were assessed less frequently but still have significance (e.g., LDH, IgG, and IPICO) should not be ignored. Thus, further research and thorough investigation are needed to assess new or potential covariates, which will pave the way for personalized anti-PD-1 mAbs therapy.

Indexed as

NeoplasmsNivolumabAntibodies, Monoclonal, HumanizedBody WeightHumansImmunoglobulin GIpilimumabAntibodies, Monoclonal, HumanizeddostarlimabImmunoglobulin GIpilimumabNivolumabanti-PD-1 mAbsimmune checkpoint inhibitorspopulation pharmacokineticsPPK modelsystematic review

Identifiers

PMID35983041
PMCPMC9379304
OpenAlexW4292682020

What OpenQuestion holds

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Registered trials

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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.