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Retrospective review of the incidence of monitoring blood glucose levels in patients receiving corticosteroids with systemic anticancer therapy.

2015· article· en· W2107490710 on OpenAlexaffabout
Leigha Rowbottom, Jordan A. Stinson, Rachel McDonald, Urban Emmenegger, Susanna Y. Cheng, Julia Lowe, Angie Giotis, Paul Cheon, Ronald Chow, Mark Pasetka, Nemica Thavarajah, Natalie Pulenzas, Edward Chow, Carlo DeAngelis

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsSunnybrook Health Science CentreSunnybrook HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineDiabetes mellitusInternal medicineChemotherapyIncidence (geometry)RegimenRetrospective cohort studyGlucose testSurgeryGastroenterologyEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Corticosteroids are used adjuvant to certain chemotherapy regimens, either as an antiemetic, to reduce other side effects, or to enhance cancer treatment. Additionally, they are frequently used for symptom control in cancer patients with end stage disease. Corticosteroid use may induce hyperglycemia in approximately 20-50% of patients, which may negatively affect patient outcomes. OBJECTIVE: To determine the frequency of blood glucose monitoring in patients with and without diabetes receiving continuous corticosteroids with chemotherapy, and to determine the incidence of treatment-emergent abnormal blood glucose levels and steroid-induced diabetes mellitus (DM). METHODS: A retrospective review was conducted for 30 genitourinary (GU) cancer patients who were treated with continuous oral corticosteroids as part of their chemotherapy regimen. The Canadian Diabetes Association (CDA) criterion for diagnosis of diabetes was applied to categorize patients into two distinct groups, patients with diabetes and patients without diabetes. This categorization was made based on glucose measurements completed prior to commencement of corticosteroid therapy. Glucose monitoring was defined as receiving a laboratory blood glucose test before first chemotherapy administration along with a test within a week of each subsequent treatment cycle. The CDA criteria for diagnosis of pre-diabetes and diabetes was used to classify glucose levels as hyperglycemic. RESULTS: The mean incidence of blood glucose monitoring was 19% and 76% in patients with diabetes and patients without diabetes, respectively. Approximately, 40% of patients with diabetes required an adjustment to their diabetes management and a further 20% required hospitalization. Fifteen patients without diabetes received a fasting blood glucose test, of which 40% had abnormal blood glucose results; half of these fell into the pre-diabetic range and half in the diabetic range. Ten patients without diabetes were tested for diabetes using the CDA criteria for diabetes diagnosis during or after their chemotherapy, of which 30% developed diabetes. CONCLUSIONS: In order to optimize patient care, blood glucose levels should be monitored in all patients receiving continuous oral corticosteroids as part of their chemotherapy. Future studies should be conducted prospectively to determine the most effective manner of monitoring in order to implement screening guidelines and avoid unnecessary morbidity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.236
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations27
Published2015
Admission routes2
Has abstractyes

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