Evidence map›Paper›PMID 36943382›Full record

ArticleThe oncologist2023

Predicting Hyperglycemia Among Patients Receiving Alpelisib Plus Fulvestrant for Metastatic Breast Cancer.

Xuan Ge, Carolyn E Behrendt, Susan E Yost, Niki Patel, Raynald Samoa, Daphne Stewart, Mina Sedrak, Sayeh Lavasani, James Waisman, Yuan Yuan and 1 more

Open access · goldAbstract read
In one paragraph

Article in The oncologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Xuan GeDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.ORCID 0000-0002-4703-4238
Carolyn E BehrendtDepartment of Computational and Quantitative Medicine, City of Hope National Medical Center, Duarte, CA, USA.
Susan E YostDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
Niki PatelDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
Raynald SamoaDepartment of Diabetes and Endocrinology, City of Hope National Medical Center, Duarte, CA, USA.
Daphne StewartDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
Mina SedrakDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.ORCID 0000-0002-8379-391X
Sayeh LavasaniDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
James WaismanDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
Yuan YuanDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
Joanne MortimerDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA.
City Of Hope National Medical Center · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

backgroundHyperglycemia is recognized as a common adverse event for patients receiving alpelisib but has been little studied outside of clinical trials. We report the frequency of alpelisib-associated hyperglycemia in a real-world setting and evaluate proposed risk factors. PATIENTS AND

methodsWe retrospectively identified patients with PIK3CA-mutated, hormone receptor-positive, metastatic breast cancer who initiated treatment with alpelisib plus fulvestrant between August 2019 and December 2021. Ordinal logistic regression evaluated 5 characteristics (diabetes, prediabetes, body mass index [BMI], age, and Asian ancestry) as independent risk factors for ALP-associated hyperglycemia grades 2-4. Risk of error from multiple hypothesis testing was controlled using the false discovery rate method.

resultsThe study included n = 92 subjects, all but 1 female, mean age 59.9 (+11.9) years with 50% non-Hispanic White, 15% Hispanic/Latino, 13% Asian, 9% African/Black, and 13% other/unknown. In total 34% of patients had diabetes, 10% had pre-diabetes, and 56% had normoglycemia. Thirty-six percent were obese, 32% were overweight, 25% were normal weight, and 7% were lean. Frequency of grades 1-4 hyperglycemia in current subjects (64.1%) was similar to hyperglycemia reported in the SOLAR-1 trial (63.7%). Our subjects' risk of grades 2-4 hyperglycemia was independently increased by pre-existing diabetes (Odds ratio 3.75, 95% CI, 1.40-10.01), pre-diabetes (6.22, 1.12-34.47), Asian ancestry (7.10, 1.75-28.84), and each unit of BMI above 20 (1.17, 1.07-1.28).

conclusionWhile receiving alpelisib, patients of Asian ancestry, as well as patients with pre-existing hyperglycemia and/or BMI above 20, should be closely monitored for hyperglycemia. The mechanism underlying the current association of alpelisib-associated hyperglycemia with Asian ancestry is independent of BMI and merits further study. The high incidence of hyperglycemia resulted in a change in practice to include consultation with a diabetes nurse educator or endocrinologist at the start of alpelisib.

Indexed as

Breast NeoplasmsHyperglycemiaPrediabetic StateAntineoplastic Combined Chemotherapy ProtocolsErb-b2 Receptor Tyrosine KinasesFemaleFulvestrantHumansMiddle AgedRetrospective StudiesThiazolesAlpelisibErb-b2 Receptor Tyrosine KinasesFulvestrantThiazolesalpelisibbreast cancerfulvestranthyperglycemiaquality of life

Identifiers

PMID36943382
PMCPMC10322119
OpenAlexW4328049169

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.