Evidence map›Paper›PMID 38883557›Full record

ArticleINFORMS journal on computing

Combination Chemotherapy Optimization with Discrete Dosing.

Temitayo Ajayi, Seyedmohammadhossein Hosseinian, Andrew J Schaefer, Clifton D Fuller

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in INFORMS journal on computing. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Temitayo AjayiNature Source Improved Plants, Ithaca, New York 14850.ORCID 0000-0003-1819-6462
Seyedmohammadhossein HosseinianDepartment of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, Ohio 45221.ORCID 0000-0001-7016-5925
Andrew J SchaeferDepartment of Computational Applied Mathematics and Operations Research, Rice University, Houston, Texas 77005.ORCID 0000-0002-0379-741X
Clifton D FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030.ORCID 0000-0002-5264-3994

Funding

QuBBD: Precision E –Radiomics for Dynamic Big Head & Neck Cancer Data R01CA225190 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI CANAHUATE, GUADALUPE, FULLER, CLIFTON DAVID · 2017 to 2019
$776k
NCI NIH HHS R01 CA225190
6 · The paper itself

Abstract

Chemotherapy drug administration is a complex problem that often requires expensive clinical trials to evaluate potential regimens; one way to alleviate this burden and better inform future trials is to build reliable models for drug administration. This paper presents a mixed-integer program for combination chemotherapy (utilization of multiple drugs) optimization that incorporates various important operational constraints and, besides dose and concentration limits, controls treatment toxicity based on its effect on the count of white blood cells. To address the uncertainty of tumor heterogeneity, we also propose chance constraints that guarantee reaching an operable tumor size with a high probability in a neoadjuvant setting. We present analytical results pertinent to the accuracy of the model in representing biological processes of chemotherapy and establish its potential for clinical applications through a numerical study of breast cancer.

Indexed as

combination chemotherapydifferential equationsmixed-integer linear programming

Identifiers

PMID38883557
PMCPMC11178284

What OpenQuestion holds

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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.