Evidence map›Paper›PMID 33258982›Full record

ArticlePharmaceutical research2020

Application of a Two-Analyte Integrated Population Pharmacokinetic Model to Evaluate the Impact of Intrinsic and Extrinsic Factors on the Pharmacokinetics of Polatuzumab Vedotin in Patients with Non-Hodgkin Lymphoma.

Dan Lu, Tong Lu, Rong Shi, Leonid Gibiansky, Priya Agarwal, Colby S Shemesh, Randall C Dere, Uzor Ogbu, Jamie Hirata, Pascal Chanu and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
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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

14 authors at 2 institutions in 1 country.

Dan LuDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA. lu.dan@gene.com.ORCID http://orcid.org/0000-0003-4531-3599
Tong LuDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Rong ShiDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Leonid GibianskyQuantPharm LLC, North Potomac, Maryland, USA.
Priya AgarwalDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Colby S ShemeshDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Randall C DereDepartment of Bioanalytical Sciences, Genentech, Inc, South San Francisco, California, USA.
Uzor OgbuProduct Development Oncology, Genentech, Inc, South San Francisco, California, USA.
Jamie HirataProduct Development Oncology, Genentech, Inc, South San Francisco, California, USA.
Pascal ChanuDepartment of Clinical Pharmacology, Genentech, Inc/F. Hoffmann-La Roche Ltd, Lyon, France.
Sandhya GirishDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Jin Yan JinDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Chunze LiDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Dale MilesDepartment of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Gene Therapy Laboratory · FRRoche (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe established two-analyte integrated population pharmacokinetic model was applied to assess the impact of intrinsic/extrinsic factors on the pharmacokinetics (PK) of polatuzumab vedotin (pola) in patients with non-Hodgkin lymphoma (NHL) following bodyweight-based dosing.

methodsModel simulations based on individual empirical Bayes estimates were used to evaluate the impact of intrinsic/extrinsic factors as patient subgroups on Cycle 6 exposures. Intrinsic factors included bodyweight, age, sex, hepatic and renal functions. Extrinsic factors included rituximab/obinutuzumab or bendamustine combination with pola and manufacturing process. The predicted impact on exposures along with the established exposure-response relationships were used to assess clinical relevance.

resultsNo clinically meaningful differences in Cycle 6 pola exposures were found for the following subgroups: bodyweight 100-146 kg versus 38-<100 kg, age ≥ 65 years versus <65 years, female versus male, mild hepatic impairment versus normal, mild-to-moderate renal impairment versus normal. Co-administration of rituximab/obinutuzumab or bendamustine, and change in the pola manufacturing process, also had no meaningful impact on PK.

conclusionsIn patients with NHL, bodyweight-based dosing is adequate, and no further dose adjustment is recommended for the heavier subgroup (100-146 kg). In addition, no dose adjustments are recommended for other subgroups based on intrinsic/extrinsic factors evaluated.

Indexed as

Models, BiologicalAdultAgedAged, 80 and overAge FactorsAntibodies, MonoclonalAntineoplastic Agents, ImmunologicalBody WeightClinical Trials as TopicComputer SimulationDrug Dosage CalculationsFemaleHumansImmunoconjugatesLymphoma, Non-HodgkinMaleAntibodies, MonoclonalAntineoplastic Agents, ImmunologicalImmunoconjugatespolatuzumab vedotinantibody-drug conjugateintegrated two-analytenon-Hodgkin lymphomapopulation pharmacokinetics

Identifiers

PMID33258982
PMCPMC7708381
OpenAlexW3108089427

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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.