Evidence map›Paper›PMID 26286677›Full record

Trial reportThe AAPS journal2015

A Modeling and Simulation Framework for Adverse Events in Erlotinib-Treated Non-Small-Cell Lung Cancer Patients.

Ahmed Abbas Suleiman, Sebastian Frechen, Matthias Scheffler, Thomas Zander, Lucia Nogova, Martin Kocher, Ulrich Jaehde, Jürgen Wolf, Uwe Fuhr

Open access · bronzeAbstract readClinical Trial, Phase II
In one paragraph

Trial report in The AAPS journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Review
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

9 authors at 2 institutions in 1 country.

Ahmed Abbas SuleimanDepartment of Pharmacology, Clinical Pharmacology Unit, University Hospital of Cologne, Gleueler Str. 24, 50931, Cologne, Germany. ahmed.suleiman@uk-koeln.de.
Sebastian FrechenDepartment of Pharmacology, Clinical Pharmacology Unit, University Hospital of Cologne, Gleueler Str. 24, 50931, Cologne, Germany.
Matthias SchefflerLung Cancer Group Cologne, Department I of Internal Medicine, Center for Integrated Oncology Cologne Bonn, University Hospital of Cologne, Cologne, Germany.
Thomas ZanderLung Cancer Group Cologne, Department I of Internal Medicine, Center for Integrated Oncology Cologne Bonn, University Hospital of Cologne, Cologne, Germany.
Lucia NogovaLung Cancer Group Cologne, Department I of Internal Medicine, Center for Integrated Oncology Cologne Bonn, University Hospital of Cologne, Cologne, Germany.
Martin KocherDepartment of Radiotherapy, University Hospital of Cologne, Cologne, Germany.
Ulrich JaehdeInstitute of Pharmacy, Clinical Pharmacy Department, University of Bonn, Bonn, Germany.
Jürgen WolfLung Cancer Group Cologne, Department I of Internal Medicine, Center for Integrated Oncology Cologne Bonn, University Hospital of Cologne, Cologne, Germany.
Uwe FuhrDepartment of Pharmacology, Clinical Pharmacology Unit, University Hospital of Cologne, Gleueler Str. 24, 50931, Cologne, Germany.
University Hospital Cologne · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment with erlotinib, an epidermal growth factor receptor tyrosine kinase inhibitor used for treating non-small-cell lung cancer (NSCLC) and other cancers, is frequently associated with adverse events (AE). We present a modeling and simulation framework for the most common erlotinib-induced AE, rash, and diarrhea, providing insights into erlotinib toxicity. We used the framework to investigate the safety of high-dose erlotinib pulses proposed to limit acquired resistance while treating NSCLC. Continuous-time Markov models were developed using rash and diarrhea AE data from 39 NSCLC patients treated with erlotinib (150 mg/day). Exposure and different covariates were investigated as predictors of variability. Rash was also tested as a survival predictor. Models developed were used in a simulation analysis to compare the toxicities of different regimens, including the previously mentioned pulsed strategy. Probabilities of experiencing rash or diarrhea were found to be highest early during treatment. Rash, but not diarrhea, was positively correlated with erlotinib exposure. In contrast with some common understandings, radiotherapy decreased transitioning to higher rash grades by 81% (p < 0.01), and experiencing rash was not correlated with positive survival outcomes. Model simulations predicted that the proposed pulsed regimen (1600 mg/week + 50 mg/day remaining week days) results in a maximum of 20% of the patients suffering from severe rash throughout the treatment course in comparison to 12% when treated with standard dosing (150 mg/day). In conclusion, the framework demonstrated that radiotherapy attenuates erlotinib-induced rash, providing an opportunity to use radiotherapy and erlotinib together, and demonstrated the tolerability of high-dose pulses intended to address acquired resistance to erlotinib.

Indexed as

Models, TheoreticalAdultAgedAntineoplastic AgentsCarcinoma, Non-Small-Cell LungDiarrheaErlotinib HydrochlorideExanthemaFemaleHumansLung NeoplasmsMaleMarkov ChainsMiddle AgedProtein Kinase InhibitorsAntineoplastic AgentsErlotinib HydrochlorideProtein Kinase Inhibitorsadverse eventserlotinibmodelingNSCLC

Identifiers

PMID26286677
PMCPMC4627460
OpenAlexW1588606241

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.