Evidence map›Paper›PMID 27473045›Full record

ReviewThe oncologist2016

Hyperglycemia Associated With Targeted Oncologic Treatment: Mechanisms and Management.

Jonathan W Goldman, Melody A Mendenhall, Sarah R Rettinger

Open access · bronzeAbstract readReview
In one paragraph

Review in The oncologist, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. The Bidirectional Relationship Between Diabetes and Cancer: Mechanistic Insights, Epigenetic Intermediaries, and Therapeutic Approaches.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Tackling the Cardio-Kidney-Metabolic Burden in Cancer.Current atherosclerosis reports · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Medication-Induced Hyperglycemia and Diabetes Mellitus: A Review of Current Literature and Practical Management Strategies.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Review
  12. Review
  13. [Endocrine side effects of tumor treatment].Innere Medizin (Heidelberg, Germany) · 2024
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  20. 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

3 authors at 2 institutions in 1 country.

Jonathan W GoldmanDivision of Hematology and Oncology, David Geffen School of Medicine at UCLA, Santa Monica, California, USA jwgoldman@mednet.ucla.edu.
Melody A MendenhallDivision of Hematology and Oncology, David Geffen School of Medicine at UCLA, Santa Monica, California, USA.
Sarah R RettingerEndocrinology Medical Group of Orange County, Inc., Orange, California, USA.
University of California, Los Angeles · USOrange County Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

: Molecularly targeted cancer therapy has rapidly changed the landscape of oncologic care, often improving patients' prognosis without causing as substantial a quality-of-life decrement as cytotoxic chemotherapy does. Nevertheless, targeted agents can cause side effects that may be less familiar to medical oncologists and that require the attention and expertise of subspecialists. In this review, we focus on hyperglycemia, which can occur with use of new anticancer agents that interact with cell proliferation pathways. Key mediators of these pathways include the tyrosine kinase receptors insulin growth factor receptor 1 (IGF-1R) and epidermal growth factor receptor (EGFR), as well as intracellular signaling molecules phosphatidylinositol 3-kinase (PI3K), AKT, and mammalian target of rapamycin (mTOR). We summarize available information on hyperglycemia associated with agents that inhibit these molecules within the larger context of adverse event profiles. The highest incidence of hyperglycemia is observed with inhibition of IGF-1R or mTOR, and although the incidence is lower with PI3K, AKT, and EGFR inhibitors, hyperglycemia is still a common adverse event. Given the interrelationships between the IGF-1R and cell proliferation pathways, it is important for oncologists to understand the etiology of hyperglycemia caused by anticancer agents that target those pathways. We also discuss monitoring and management approaches for treatment-related hyperglycemia for some of these agents, with a focus on our experience during the clinical development of the EGFR inhibitor rociletinib. IMPLICATIONS FOR PRACTICE: Treatment-related hyperglycemia is associated with several anticancer agents. Many cancer patients may also have preexisting or undiagnosed diabetes or glucose intolerance. Screening can identify patients at risk for hyperglycemia before treatment with these agents. Proper monitoring and management of symptoms, including lifestyle changes and pharmacologic intervention, may allow patients to continue benefiting from use of anticancer agents.

Indexed as

Anticancer agentsGrowth factorMolecular targeted therapymTOR proteinProto-oncogene protein AktReceptorsTyrosine kinase

Identifiers

PMID27473045
PMCPMC5189614
OpenAlexW2481215053

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.