Evidence map›Paper›PMID 39949335›Full record

ReviewEndocrine oncology (Bristol, England)2025

Improving neuroendocrine tumor treatments with mathematical modeling: lessons from other endocrine cancers.

John Metzcar, Rachael Guenter, Yafei Wang, Kimberly M Baker, Kate E Lines

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Endocrine oncology (Bristol, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
    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

5 authors.

John MetzcarDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0002-0142-0387
Rachael GuenterDepartment of Surgery, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0002-1024-7037
Yafei WangDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0001-6594-0608
Kimberly M BakerDepartment of Biology, Shaheen College of Arts and Sciences, University of Indianapolis, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-5321-3910
Kate E LinesOCDEM, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford, UK.ORCID https://orcid.org/0000-0002-0764-8681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroendocrine tumors (NETs) occur sporadically or as part of rare endocrine tumor syndromes (RETSs) such as multiple endocrine neoplasia 1 and von Hippel-Lindau syndromes. Due to their relative rarity and lack of model systems, NETs and RETSs are difficult to study, hindering advancements in therapeutic development. Causal or mechanistic mathematical modeling is widely deployed in disease areas such as breast and prostate cancers, aiding the understanding of observations and streamlining

Indexed as

clinical mathematical oncology modelingmultiple neuroendocrine neoplasianeuroendocrine tumorssystems biologyvirtual clinical trials

Identifiers

PMID39949335
PMCPMC11825163

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.