ArticleObesity facts2023
A Representative Percentile Chart for Prediction of Weight Loss Trend after Sleeve Gastrectomy.
Article in Obesity facts, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Early prediction of suboptimal clinical response after bariatric surgery using total weight loss percentiles.Scientific reports · 2025Article
- Weight Reduction Percentile Charts: 2-Year Follow-up Results of OAGB and RYGB Post Bariatric Surgery.Obesity surgery · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIt could be valuable for surgeons and patients to use one chart in different groups and evaluate weight loss during the post-surgery period.
methodsThis retrospective study used the Iran National Obesity Surgery Database. Patients with clinically severe obesity aged 18-70 undergoing sleeve gastrectomy participated in this study. Body mass index (BMI) reduction and 5 other metrics measured over the study period were modeled using lambda-mu-sigma method. Our data were split into the train (70%) and test (30%) sets.
resultsIn this study, 1,258 patients (75% female) met the eligibility criteria to participate. Mean age and initial BMI were 36.87 ± 10.51 and 42.74 (40.37-46.36), respectively. Percentile charts for various metrics have been presented for the first 2 years after surgery.
conclusionsFor sleeve surgery, all metrics are acceptable for clinical applications. Using the statistical view, BMI reduction is the most acceptable metric according to the lowest bias values and its variation between all the metrics.
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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.