Evidence map›Paper›PMID 31611927›Full record

ArticleComputational and mathematical methods in medicine2019

Dynamics of Breast Cancer under Different Rates of Chemoradiotherapy.

Sara B Mkango, Nyimvua Shaban, Eunice Mureithi, Twalib Ngoma

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2019. 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
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. [Diagnostics (Basel, Switzerland) · 2023
    Review
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Sara B MkangoDepartment of Mathematics, University of Dar es Salaam, P.O. Box 35062, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0003-0180-5399
Nyimvua ShabanDepartment of Mathematics, University of Dar es Salaam, P.O. Box 35062, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0003-4067-1514
Eunice MureithiDepartment of Mathematics, University of Dar es Salaam, P.O. Box 35062, Dar es Salaam, Tanzania.
Twalib NgomaDepartment of Clinical Oncology, Muhimbili University of Health and Allied Sciences, P.O. Box 65000, Dar es Salaam, Tanzania.
University of Dar es Salaam · TZMuhimbili University of Health and Allied Sciences · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A type of cancer which originates from the breast tissue is referred to as breast cancer. Globally, it is the most common cause of death in women. Treatments such as radiotherapy, chemotherapy, hormone therapy, immunotherapy, and gene therapy are the main strategies in the fight against breast cancer. The present study aims at investigating the effects of the combined radiotherapy and chemotherapy as a way to treat breast cancer, and different treatment approaches are incorporated into the model. Also, the model is fitted to data on patients with breast cancer in Tanzania. We determine new treatment strategies, and finally, we show that when sufficient amount of chemotherapy and radiotherapy with a low decay rate is used, the drug will be significantly more effective in combating the disease while health cells remain above the threshold.

Indexed as

AlgorithmsBreast NeoplasmsChemoradiotherapyComputer SimulationFemaleHumansImmunity, ActiveModels, BiologicalMutationSoftwareTanzaniaTreatment Outcome

Identifiers

PMID31611927
PMCPMC6755298
OpenAlexW2972384824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.