Laparoscopic sleeve gastrectomy achieves normalization of C-reactive protein at 18 months after surgery
Bibliographic record
Abstract
Laparoscopic sleeve gastrectomy achieves normalization of C-reactive protein at 18 months after surgery Obesity leads to a chronic state of inflammation and elevated C-reactive protein (CRP). Bariatric surgery achieves both long-term weight loss and reduction in inflammatory markers. We aim to examine the effect of laparoscopic sleeve gastrectomy (LSG) on CRP levels. This is a retrospective review of patients who underwent LSG at our center between May 2011 and February 2014. Data was collected on patient demographics and obesity-associated comorbidities. CRP levels were measured pre-operatively and at 3, 6, 12, and 24 months post-operative. Secondary outcomes were post-operative weight loss, 30-day complications, and mortality. 209 patients underwent LSG with average pre-operative BMI 49.2 kg/m2 (min 35.0 kg/m2, max 67.4 kg/m2), average age 43.4 years (min 22 years, max 70 years), and with 82% female. The most common comorbidities were hypertension (55.0%), obstructive sleep apnea (46.4%), dyslipidemia (42.1%) and diabetes (37.8%). The mean pre-operative CRP level was 11.53mg/L (min 0.6, max 49.3). The mean pre-operative weight was 134.3kg versus 97.7kg after 24 months (p<0.01). The total average %BMIL was 59.8%kg/m2 after 12 months and 58.5%kg/m2 after 24 months. No mortality occurred. Pre-operatively, 89 patients (Group N) had normal (u22648mg/L) and 114 patients (Group E) had elevated (>8mg/L) CRP levels. While pre-operatively, the mean CRP levels were significantly different between these groups (4.66 mg/L vs 16.90mg/L, p<0.001), this difference became non-significant after 18 months (2.85u00b15.72 versus 5.33u00b16.79, p= 0.076). Group E had significantly more females and higher mean BMI. Overall 30-day complication rate was 15.3% (13.4% minor and 1.9% major). While overall complications were higher in Group N (19.1%) compared to Group E (12.3%), this was not statistically significant (p=0.238).LSG leads to significant decrease in mean CRP levels, which normalize at 18 months post-operative. Female gender and BMI>50kg/m2 were associated with elevated CRP levels. Elevated CRP levels did not correlate with post-operative complication rate.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".