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Record W2170751336 · doi:10.4212/cjhp.v68i2.1436

Rapid Reduction in Use of Antidiabetic Medication after Laparoscopic Sleeve Gastrectomy: The Newfoundland and Labrador Bariatric Surgery Cohort (BaSCo) Study

2015· article· en· W2170751336 on OpenAlexafffundvenueabout
Carla Dillon, Justin Peddle, Laurie Twells, Kendra Lester, William K. Midodzi, Kimberley Ens Manning, Raleen Murphy, David Pace, Chris Smith, Darrell Boone, Deborah M. Gregory

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2015
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsSt. John’s Health Sciences CentreNewfoundland and Labrador Centre for Applied Health ResearchMemorial University of Newfoundland
FundersNewfoundland and Labrador Centre for Applied Health Research
KeywordsMedicineDyslipidemiaSleeve gastrectomySurgeryType 2 diabetesDiabetes mellitusType 2 Diabetes MellitusCohortProspective cohort studyGastrectomyCohort studyGeneral surgeryWeight lossInternal medicineObesityCancerGastric bypass

Abstract

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Background: Patients who have undergone bariatric surgery generally need fewer medications as they experience improvement in, or even resolution of, various medical conditions, including type 2 diabetes mellitus, hypertension, and dyslipidemia. Published data on changes in medication use after laparoscopic sleeve gastrectomy, a type of bariatric surgery that is growing in popularity, are limited.Objective: To determine whether patients took fewer medications for management of type 2 diabetes, hypertension, and dyslipidemia after laparoscopic sleeve gastrectomy, relative to preprocedure medications.Methods: In this prospective, single-centre cohort study, a nurse practitioner used standard medication reconciliation and study dataextraction forms to interview adult patients who had undergone laparoscopic sleeve gastrectomy and determine their medication use and pertinent demographic data. The data were analyzed using generalized estimating equations and standard statistical software. Outcome measures included changes in the use of antidiabetic, antihypertensive, and antilipemic medications at 1, 3, and 6 months after the surgery.Results: A total of 65 patients who underwent laparoscopic sleeve gastrectomy between May 2011 and January 2014 met the study inclusion criteria. Before surgery, the 30 patients with type 2 diabetes were taking an average of 1.9 antidiabetic medications. One month after the procedure, 15 (50%) had discontinued all antidiabetic medications, with a further decline at 3 and 6 months (p < 0.001 at each time point). Among the patients who were taking antihypertensives (n = 48) and antilipemics (n = 33) before surgery, the decline in use occurred at a more modest rate, with 6 (12%) and 2 (6%), respectively, discontinuing these medication classes within 1 month, and 12 (25%) (p = 0.001) and 8 (24%) (p = 0.015) having discontinued by 6 months.Conclusions: These findings suggest that patients with a history of type 2 diabetes mellitus, hypertension, and/or dyslipidemia who undergo laparoscopic sleeve gastrectomy are less likely to require disease-specific medications shortly after surgery.RÉSUMÉContexte : Les patients ayant subi une chirurgie bariatrique ont généralement besoin de moins en moins de médicaments au fur et à mesure qu’ils voient leurs différentes affections, notamment le diabète sucré de type 2, l’hypertension et la dyslipidémie, s’estomper ou même se résorber. Or, il existe peu d’études publiées sur les changements apportés à la pharmacothérapie des patients ayant subi une gastrectomie longitudinale laparoscopique, une chirurgie bariatrique de plus en plus utilisée.Objectif : Déterminer si les patients prennent moins de médicaments pour le traitement du diabète de type 2, de l’hypertension et de la dyslipidémie après avoir subi une gastrectomie longitudinale laparoscopique comparativement à leur situation avant l’opération.Méthodes : Dans cette étude de cohorte prospective menée dans un seul centre, un membre du personnel infirmier praticien a utilisé des formulaires standards de bilan comparatif des médicaments et d’extraction de données d’étude afin d’interroger des patients adultes ayant subi une gastrectomie longitudinale laparoscopique, et ce, dans le but de connaître leur consommation de médicaments ainsi que de recueillir des données démographiques pertinentes. Les données ont été analysées à l’aide d’équations d’estimation généralisées et d’un logiciel statistique courant. Les critères de jugement incluaient l’adaptation du traitement antidiabétique, antihypertenseur et hypolipémiant, un mois, trois mois et six mois après la chirurgie.Résultats : Au total, 65 patients ayant subi l’intervention chirurgicale entre mai 2011 et janvier 2014 ont été admis dans l’étude. Avant l’opération, les 30 patients atteints du diabète de type 2 prenaient en moyenne 1,9 antidiabétique. Un mois après la chirurgie, 15 (50 %) d’entre eux ont cessé de prendre des antidiabétiques, un chiffre qui a augmenté après le troisième et le sixième mois (p < 0,001 à chaque point dans le temps). Parmi les patients qui prenaient des antihypertenseurs (n = 48) et des hypolipémiants (n = 33) avant l’intervention chirurgicale, un moins grand nombre a cessé de prendre ces médicaments. Seulement 6 (12 %) patients ont cessé les antihypertenseurs et 2 (6 %) patients ont cessé les hypolipémiants après un mois, puis 12 (25 %) (p = 0,001) et 8 (24 %) (p = 0,015) respectivement après six mois.Conclusions : Ces résultats laissent croire que les patients atteints du diabète sucré de type 2, d’hypertension ou de dyslipidémie qui subissent une gastrectomie longitudinale laparoscopique courent la chance de ne plus avoir besoin de médicaments pour traiter ces maladies, et ce, peu de temps après la chirurgie.

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)0.001
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 score0.754
Threshold uncertainty score0.489

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.273
Teacher spread0.238 · 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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Citations20
Published2015
Admission routes4
Has abstractyes

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