Evidence map›Paper›PMID 39342087›Full record

ArticleBMC anesthesiology2024

Risk analysis of postoperative nausea and vomiting in patients after gynecologic laparoscopic surgery.

Danzhi Luo, Zhenxing Huang, Simin Tang, Jiurong Cheng, Yingdong Deng, Xiangsheng Zhang, Yu Cao, Chenxi Zhou, Jun Zhou

Abstract readMulticenter Study
In one paragraph

Article in BMC anesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Danzhi LuoDepartment of Anesthesiology, The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou City, Guangdong Province, China.
Zhenxing HuangDepartment of Anesthesiology, The First People's Hospital of Foshan, Foshan, Guangdong Province, China.
Simin TangDepartment of Anesthesiology, The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou City, Guangdong Province, China.
Jiurong ChengDepartment of Anesthesiology, The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou City, Guangdong Province, China.
Yingdong DengDepartment of Anesthesiology, The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou City, Guangdong Province, China.
Xiangsheng ZhangDepartment of Anesthesiology, The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou City, Guangdong Province, China.
Yu CaoDepartment of Anesthesiology, The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou City, Guangdong Province, China.
Chenxi ZhouDepartment of Anesthesiology, The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou City, Guangdong Province, China.
Jun ZhouDepartment of Anesthesiology, The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangzhou City, Guangdong Province, China. zhoujun7843@smu.edu.cn.

Funding

Guangzhou Key Laboratory of Neuropathic Pain Mechanism at Spinal Cord Level 202102100005National Natural Science Foundation of China 81870879Natural Science Foundation of Guangdong Province 2017A030313534
6 · The paper itself

Abstract

aimsThis study is designed to identify risk factors of postoperative nausea and vomiting (PONV) in patients after gynecologic laparoscopic surgery and establish a nomogram model.

methodsIn this retrospective and multicenter study, we collected and analyzed data from 1233 patients who underwent gynecologic laparoscopic surgery. The Lasso algorithm was used to optimize the selection of independent variables in the development group. Multivariate logistic regression analysis was used to explore the risk factors of PONV to develop the predictive nomogram model. Finally, we used an internal and external verification group and machine learning (ML) to evaluate the accuracy and clinical applicability of the model.

resultsThe dosage of sufentanil in patient-controlled intravenous analgesia (PCIA), the dosage of remifentanil, the use of neostigmine, duration of surgery and the maximum value of the P

conclusionA nomogram model was developed to predict the incidence of PONV in patients after gynecologic laparoscopic surgery. This model was found to be reliable and of high clinical value.

Indexed as

Gynecologic Surgical ProceduresLaparoscopyNomogramsPostoperative Nausea and VomitingAdultAnalgesia, Patient-ControlledAnalgesics, OpioidFemaleHumansMachine LearningMiddle AgedNeostigmineRemifentanilRetrospective StudiesRisk AssessmentRisk FactorsAnalgesics, OpioidNeostigmineRemifentanilSufentanilGynecologic surgeryLaparoscopic surgeryNomogramPostoperative nausea and vomiting

Identifiers

PMID39342087
PMCPMC11437899

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Registered trials

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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.