Evidence map›Paper›PMID 36854800›Full record

ArticleJournal of cancer research and clinical oncology2023

Individual hematotoxicity prediction of further chemotherapy cycles by dynamic mathematical models in patients with gastrointestinal tumors.

Vivien Topf, Yuri Kheifetz, Severin Daum, Alexej Ballhausen, Andreas Schwarzer, Kien Vu Trung, Gertraud Stocker, Achim Aigner, Florian Lordick, Markus Scholz and 1 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Vivien TopfUniversity Cancer Center Leipzig (UCCL), University of Leipzig Medical Center, Leipzig, Germany.
Yuri KheifetzInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Severin DaumMedical Department, Division of Gastroenterology, Infectious Diseases and Rheumatology, Charité University Medicine Berlin, Campus Benjamin Franklin (CBF), Berlin, Germany.
Alexej BallhausenMedical Department, Division of Hematology, Oncology and Tumor Immunology, Charité University Medicine Berlin, Campus Virchow Hospital (CVK), Berlin, Germany.
Andreas SchwarzerOnkopraxis Probstheida, Leipzig, Germany.
Kien Vu TrungDepartment of Medicine (Oncology, Gastroenterology, Hepatology, Pulmonology and Infectiology), Medical Center, University of Leipzig, Leipzig, Germany.
Gertraud StockerUniversity Cancer Center Leipzig (UCCL), University of Leipzig Medical Center, Leipzig, Germany.
Achim AignerRudolf-Boehm-Institute for Pharmacology and Toxicology, Clinical Pharmacology, University of Leipzig, Leipzig, Germany.
Florian LordickUniversity Cancer Center Leipzig (UCCL), University of Leipzig Medical Center, Leipzig, Germany.
Markus ScholzInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Maren KnödlerUniversity Cancer Center Leipzig (UCCL), University of Leipzig Medical Center, Leipzig, Germany. maren.knoedler@charite.de.
Charité - Universitätsmedizin Berlin · DELeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHematotoxicity is a common side-effect of cytotoxic gastrointestinal (GI) cancer therapies. An unsolved problem is to predict the individual risk therefore to decide on treatment adaptions. We applied an established biomathematical prediction model and primarily evaluated its predictive value in patients undergoing chemotherapy for GI cancers in curative intent.

methodsIn a prospective, observational multicenter study on patients with gastro-esophageal or pancreatic cancer (n = 28) receiving myelosuppressive adjuvant or neoadjuvant chemotherapy (FLO(T) or FOLFIRINOX), individual model parameters were learned based on patients' observed laboratory values during the first chemotherapy cycle and further external data resources. Grades of hematotoxicity of subsequent cycles were predicted by model simulation and compared with observed data.

resultsThe most common high-grade hematological toxicity was neutropenia [19/28 patients (68%)]. For the FLO(T) regimen, individual grades of thrombocytopenia and leukopenia could be well predicted for cycles 2-4, as well as grades of neutropenia for cycle 2. Prediction accuracy for neutropenia in the third and fourth cycle differed by one toxicity grade on average. For the FOLFIRINOX-regimen, thrombocytopenia predictions showed a maximum deviation of one toxicity grade up to the end of therapy (8 cycles). Deviations of predictions were less than one degree on average up to cycle 4 for neutropenia, and up to cycle 6 for leukopenia.

conclusionThe biomathematical model showed excellent short-term and decent long-term prediction performance for all relevant hematological side effects associated with FLO(T)/FOLFIRINOX. Clinical utility of this precision-medicine approach needs to be further investigated in a larger cohort.

Indexed as

AnemiaGastrointestinal NeoplasmsNeutropeniaPancreatic NeoplasmsThrombocytopeniaAntineoplastic Combined Chemotherapy ProtocolsHumansModels, TheoreticalProspective StudiesBiomathematical modelCytotoxic chemotherapyGastrointestinal cancerHematotoxicityPharmacodynamicsPrecision medicine

Identifiers

PMID36854800
PMCPMC10374676
OpenAlexW4322624687

What OpenQuestion holds

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LicenceCC BY
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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.