Evidence map›Paper›PMID 36029310›Full record

ReviewCancer chemotherapy and pharmacology2022

Anti-cancer drug combinations approved by US FDA from 2011 to 2021: main design features of clinical trials and role of pharmacokinetics.

Salvador Fudio, Alvaro Sellers, Laura Pérez Ramos, Beatriz Gil-Alberdi, Ali Zeaiter, Mikel Urroz, Antonio Carcas, Rubin Lubomirov

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer chemotherapy and pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Salvador FudioPharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain.
Alvaro SellersPharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain.
Laura Pérez RamosPharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain.
Beatriz Gil-AlberdiHealthcotrials, Madrid, Spain.
Ali ZeaiterPharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain.
Mikel UrrozClinical Pharmacology Department, La PAZ University Hospital-Idipaz, Universidad Autónoma DE Madrid, Madrid, Spain.
Antonio CarcasClinical Pharmacology Department, La PAZ University Hospital-Idipaz, Universidad Autónoma DE Madrid, Madrid, Spain.
Rubin LubomirovPharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain. rlubomirov@pharmamar.com.ORCID 0000-0003-0550-8228
PharmaMar (Spain) · ESMadrid Health Service · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last decade, the treatment for many cancer indications has evolved due to intensive clinical research into anti-tumor agents' combination. In most instances, new combination treatments consist of an add-on to the standard of care (SOC), which then demonstrate a substantial gain in efficacy and no detrimental effect in tolerability. In the era of targeted therapies, for which maximum tolerated dose (MTD)-based dosing strategies are no longer applicable, early stage studies exploring new combinations are often conducted in the population of interest, expediting the collection of preliminary safety data, to be promptly expanded to collect preliminary efficacy data. Nevertheless, rule-based dose-finding studies are still a prevailing approach for early stage cancer, especially for chemotherapy (CT)-containing combinations. Pharmacokinetic (PK) assessments play a key role throughout the clinical development of drug combinations, informing potential PK interactions. But most importantly, they allow the development of innovative exposure-response (E-R) models aimed at exploring the contribution of each agent to the overall effect of the combination therapy. This review identifies 81 new drug combinations approved by the United States Food and Drug Administration (FDA) for hemato-oncology during the 2011-2021 period and summarizes the main design features of clinical trials and the role of PK assessments.

Indexed as

Antineoplastic AgentsNeoplasmsClinical Trials as TopicDrug CombinationsHumansMaximum Tolerated DoseUnited StatesUnited States Food and Drug AdministrationAntineoplastic AgentsDrug CombinationsClinical trialCombinationOncologyPharmacokineticsPharmacometricsUS food and drug administration

Identifiers

PMID36029310
OpenAlexW4293877477

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.