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Record W2489812209 · doi:10.1097/sla.0000000000001857

Can Sleeve Gastrectomy “Cure” Diabetes? Long-term Metabolic Effects of Sleeve Gastrectomy in Patients With Type 2 Diabetes

2016· article· en· W2489812209 on OpenAlex
Ali Aminian, Stacy A. Brethauer, Amin Andalib, Suriya Punchai, Jennifer Mackey, John Rodriguez, Tomasz Rogula, Matthew Kroh, Philip R. Schauer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineGlycemicGlycated hemoglobinDiabetes mellitusSleeve gastrectomyType 2 diabetesBody mass indexOdds ratioInternal medicineConfidence intervalSurgeryWeight lossGastroenterologyObesityEndocrinologyGastric bypass

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of the study was to assess long-term metabolic effects of laparoscopic sleeve gastrectomy (LSG) in patients with type 2 diabetes (T2DM) and to identify predictive factors for long-term diabetes remission and relapse. BACKGROUND: LSG has become the most common bariatric operation worldwide. Its long-term metabolic effects in patients with T2DM are, however, unknown. METHODS: Outcomes of 134 patients with obesity with T2DM who underwent LSG at an academic center during 2005 to 2010 and had at least 5 years of follow-up were assessed. RESULTS: At a median postsurgical follow-up of 6 years (range: 5-9), a mean body mass index loss of -7.8 ± 5.1 kg/m (total weight loss: 16.8% ± 9.7%) was associated with a reduction in mean glycated hemoglobin (HbA1c, -1.3 ± 1.8%, P < 0.001), fasting blood glucose (-37.8 ± 70.4 mg/dL, P < 0.001) and median number of diabetes medications (-1, P < 0.001). Long-term glycemic control (HbA1c <7%) was seen in 63% of patients (vs 31% at baseline, P < 0.001), diabetes remission (HbA1c <6.5% off medications) in 26%, complete remission (HbA1c <6% off medications) in 11%, and "cure" (continuous complete remission for ≥5 years) was achieved in 3%. Long-term relapse of T2DM after initial remission occurred in 44%. Among patients with relapse, 67% maintained glycemic control (HbA1c <7%). On adjusted analysis, taking 2 or more diabetes medications at baseline predicted less long-term remission (odds ratio 0.19, 95% confidence interval 0.07-0.55, P = 0.002) and more relapse of T2DM (odds ratio 8.50, 95% confidence interval: 1.40-49.20, P = 0.02). Significant improvement in triglycerides (-53.7 ± 116.4 mg/dL, P < 0.001), high-density lipoprotein (8.2 ± 12.9 mg/dL, P < 0.001), systolic (-8.9 ± 18.7 mmHg, P < 0.001) and diastolic blood pressure (-2.6 ± 14.5 mmHg, P = 0.04), and cardiovascular risk (13% relative reduction, P < 0.001) was observed. CONCLUSIONS: LSG can significantly improve cardiometabolic risk factors including glycemic status in T2DM. Long-term complete remission and "cure" of T2DM, however, occur infrequently.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.098
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.266
Teacher spread0.230 · 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