Evidence map›Paper›PMID 38963515›Full record

ArticleEndocrine2024

C-Peptide and BMi predict anti-hyperglycemic treatment lines in breast cancer patients treated with Alpelisib.

Elena Carrillo-Lopez, Fernando Sebastian-Valles, Carolina Sager La Ganga, Anabel Ballesteros, Victor Navas-Moreno, Dulce Bañón, María Pilar López Martí, Mónica Marazuela, José Alfonso Arranz Martín

Abstract read
In one paragraph

Article in Endocrine, 2024. 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

9 authors.

Elena Carrillo-LopezDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa. Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Fernando Sebastian-VallesDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa. Universidad Autónoma de Madrid, 28006, Madrid, Spain. fernando.sebastian@estudiante.uam.es.
Carolina Sager La GangaDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa. Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Anabel BallesterosDepartment of Oncology, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, 28006, Madrid, Spain.
Victor Navas-MorenoDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa. Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Dulce BañónDepartment of Oncology, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, 28006, Madrid, Spain.
María Pilar López MartíDepartment of Oncology, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, 28006, Madrid, Spain.
Mónica MarazuelaDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa. Universidad Autónoma de Madrid, 28006, Madrid, Spain.
José Alfonso Arranz MartínDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa. Universidad Autónoma de Madrid, 28006, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlpelisib is a PI3K (Phosphoinositide 3-kinases) inhibitor used for breast cancer which develops hyperglycemia based on its action on glucose metabolism regulation. This study aims to identify potential risk factors predicting hyperglycemia development and the need for multiple treatments for hyperglycemia in patients receiving Alpelisib.

methodsFourteen women diagnosed with metastatic hormone receptor-positive breast cancer carrying PI3K mutations who initiated treatment with Alpelisib were monitored through consultations in the Oncology and Endocrinology departments. Non-parametric ROC curves were generated to assess the need for three or more antidiabetic medications to achieve glycemic control.

resultsThe study population had a median age of 64 years (range:48-69) with a median body mass index (BMI) of 26.6 kg/m

conclusionA joint follow-up by an Oncology department and a Diabetes Unit can prevent treatment discontinuation in patients under Alpelisib therapy. Baseline BMI and plasma C-peptide levels can predict an increased need for anti-hyperglycemic treatment.

Indexed as

Body Mass IndexBreast NeoplasmsC-PeptideHyperglycemiaHypoglycemic AgentsThiazolesAgedBlood GlucoseFemaleHumansMiddle AgedAlpelisibBlood GlucoseC-PeptideHypoglycemic AgentsThiazolesAlpelisibbody mass indexbreast cancerC-Peptideglycated hemoglobin

Identifiers

PMID38963515
PMCPMC11489167

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Registered trials

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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.