Evidence map›Paper›PMID 42029999›Full record

ArticleObesity surgery2026

Development and External Validation of a Prediction Model for Hypoxemia After Laparoscopic Sleeve Gastrectomy in Patients with Obesity: a Multicenter Retrospective Study.

Junwei Guo, Peirong Tian, Jiahui Yu, Guanda Lu, Kelibinuer Mutailipu, Xin Wen, Xingchun Wang, Hui You, Culing Zhu, Liesheng Lu and 5 more

Registry-linked trialAbstract readMulticenter StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04548232 (Shanghai Tenth People's Hospital，School of Medicine, Tongji University), which is not on this map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

NCT04548232 completednot on this map

Shanghai Tenth People's Hospital，School of Medicine, Tongji University

TypeobservationalSponsorShanghai 10th People's HospitalRan2017 to 2022Enrolled300ConditionsObesityArmsLaparoscopic sleeve gastrectomy
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Junwei GuoDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China.
Peirong TianDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, China.
Jiahui YuThe Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China.
Guanda LuDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, China.
Kelibinuer MutailipuDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China.
Xin WenDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China.
Xingchun WangDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China.
Hui YouDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China.
Culing ZhuDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China.
Liesheng LuSchool of Medicine, Tongji University, Shanghai, China.
Yue WangSchool of Medicine, Tongji University, Shanghai, China.
Shen QuDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China.
Haibing ChenDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China.
Yugang ZhuangDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China. zhuangyugang@tongji.edu.cn.
Le BuDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes， Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai, China. geyingjun@hotmail.com.

Funding

Capital's Funds for Health Improvement and Research No. 2020-1-2021'Chinese Extreme Obesity Cohort and Fine Typing' Project under the Key Research and Development Program supported by the Ministry of Science and Technology of China No. 2022YFC2505202National Key Research and Development Program of China No. 2022YFC2505204Natural Science Foundation of China No.82201867Natural Science Foundation of Shanghai Municipal Science, Technology Commission No.21ZR1449400Research Foundation of Beijing Friendship Hospital, Capital Medical University No. yyqdkt 2020-19
6 · The paper itself

Abstract

backgroundPostoperative hypoxemia (PH) is the most common postoperative pulmonary complication (PPC) of bariatric surgery. However, clinically validated tools and tests are lacking to predict the risk of hypoxemia after bariatric surgery in patients with obesity. Therefore, this study developed and validated a nomogram model for predicting the probability of hypoxemia within 24 h after laparoscopic sleeve gastrectomy (LSG) in patients with obesity.

methodsThe prediction model was based on a retrospective study of 195 patients with obesity who underwent LSG between January 2018 and December 2023 at Shanghai Tenth People’s Hospital. Multivariate logistic regression analysis was performed to identify independent predictors of postoperative hypoxemia. Model performance was evaluated using receiver operating characteristic curves, calibration curves, clinical decision curve analysis, and clinical impact curves. This prediction model was internally validated with bootstrap resampling and further externally validated in 105 patients who underwent LSG at Beijing Friendship Hospital and The Third People’s Hospital of Chengdu.

resultsThe nomogram prediction model included preoperative body mass index (BMI), platelet count (PLT), fibrinogen level (FIB), and the triglyceride-glucose (TyG) index. This prediction model demonstrated favorable discrimination, calibration, and clinical validity in both the training and validation sets. We published the nomogram online as a simple and useful calculator.

conclusionsThe prediction model accurately predicted the risk of postoperative hypoxemia in patients with obesity and may help professionals identify high-risk patients early and make informed clinical decisions.

trial registrationNCT04548232:

Indexed as

GastrectomyHypoxiaLaparoscopyNomogramsObesity, MorbidPostoperative ComplicationsAdultBody Mass IndexChinaFemaleHumansMaleMiddle AgedPrediction AlgorithmsRetrospective StudiesBariatric surgeryLaparoscopic sleeve gastrectomyObesityPostoperative hypoxemiaPrediction modelThe triglyceride-glucose index

Identifiers

PMID42029999
PMCPMC13249635

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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.