ArticleObesity surgery2024
Fat Mass Index Predicts the Effect of Weight Loss and Quality of Life Early After Laparoscopic Sleeve Gastrectomy.
Article in Obesity surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFat mass index (FMI) is a body composition indicator that reflects body fat content. Laparoscopic sleeve gastrectomy (LSG) is widely performed in patients with obesity.
objectiveThis study aimed to evaluate the value of the FMI in predicting weight loss effect and quality of life early after LSG. MATERIAL AND
methodsFrom January 2014 to July 2022, the clinical data and computed tomography (CT) images of patients who underwent LSG at a tertiary referral teaching hospital were analyzed. Body composition indicators were calculated using the SliceOmatic software. Achieving initial body mass index within 6 months postoperatively was defined as early eligible weight loss (EEWL). The relationship between body composition and EEWL was analyzed.
resultsA total of 243 patients were included. Receiver operating characteristic (ROC) curve analysis showed that the predictive value of the FMI for EEWL in patients after LSG was higher than that of other indicators (all P < 0.05; area under the curve = 0.813). The best FMI cut-off point was 13.662. Accordingly, the patients were divided into the high-FMI group and low-FMI group. The %EWL and BMI of patients in the low-FMI group at 1, 3, 6, 9, 12, and 24 months after surgery were better than those in the high-FMI group (all P < 0.001). Patients in the low-FMI group had higher BAROS (Bariatric Analysis and Reporting Outcome System) scores than those in the high-FMI group (P < 0.001).
conclusionCompared with other body composition indicators, FMI can effectively predict the early effect of weight loss and quality of life after LSG.
Indexed as
Identifiers
39340581What OpenQuestion holds
Registered trials
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.