Evidence map›Paper›PMID 38734836›Full record

ReviewCancer chemotherapy and pharmacology2024

Using maximum plasma concentration (C

Yuchen Sun, Yue Cheng, Daniel L Hertz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer chemotherapy and pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

3 authors.

Yuchen SunDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA.
Yue ChengDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA.
Daniel L HertzDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA. dlhertz@med.umich.edu.ORCID 0000-0003-0501-1035

Funding

Development of an Integrated Risk Prediction Model of Taxane-induced Peripheral NeuropathyR37CA277043 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Daniel Louis Hertz, Meghna S Trivedi · 2023 to 2026
$2.1M
NIH HHS 1R37CA277043-01
6 · The paper itself

Abstract

Taxanes are a widely used class of anticancer agents that play a vital role in the treatment of a variety of cancers. However, toxicity remains a major concern of using taxane drugs as some toxicities are highly prevalent, they can not only adversely affect patient prognosis but also compromise the overall treatment plan. Among all kinds of factors that associated with taxane toxicity, taxane exposure has been extensively studied, with different pharmacokinetic (PK) parameters being used as toxicity predictors. Compared to other widely used predictors such as the area under the drug plasma concentration curve versus time (AUC) and time above threshold plasma drug concentration, maximum plasma concentration (C

Indexed as

NeoplasmsPrecision MedicineTaxoidsAntineoplastic AgentsArea Under CurveBridged-Ring CompoundsHumansTreatment OutcomeAntineoplastic AgentsBridged-Ring CompoundstaxaneTaxoidsMaximum plasma concentrationPharmacokineticsTaxaneTreatment outcome

Identifiers

PMID38734836

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.