Evidence map›Paper›PMID 30462756›Full record

ArticleClinics (Sao Paulo, Brazil)2018

A prediction model for hypoxemia during routine sedation for gastrointestinal endoscopy.

Wujun Geng, Danyu Jia, Yichuan Wang, Shenhui Jin, Yelong Ren, Dongdong Liang, Aote Zheng, Hongli Tang, Zarrin Basharat, Vincent Zimmer and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

17 citing papers in PubMed, 35 citations in OpenAlex.

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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

13 authors at 5 institutions in 5 countries.

Wujun GengDepartment of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Danyu JiaDepartment of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Yichuan WangDepartment of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Shenhui JinDepartment of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Yelong RenDepartment of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Dongdong LiangDepartment of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Aote ZhengDepartment of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Hongli TangDepartment of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Zarrin BasharatMicrobiology & Biotechnology Research Lab, Department of Environmental Sciences, Fatima Jinnah Women University, 46000 Rawalpindi, Pakistan.
Vincent ZimmerDepartment of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany.
Simon StockDepartment of Surgery, World Mate Emergency Hospital, Battambang, Cambodia.
Maddalena ZippiUnit of Gastroenterology and Digestive Endoscopy, Sandro Pertini Hospital, Rome, Italy.
Wandong HongDepartment of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CNOspedale Sandro Pertini · ITFatima Jinnah Women University · PKSaarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe current study was designed to assess the clinical predictors of hypoxemia and to develop a multivariable, predictive model for hypoxemia during routine gastrointestinal endoscopy.

methodsIn total, 308 patients were enrolled in the analysis. Demographic data, concurrent chronic disease information, anesthetic dose and Modified Observer's Assessment of Alertness/Sedation (MOAA/S) scores were collected and analyzed statistically.

resultsMultivariate logistic regression indicated that age (OR: 1.04; 95%CI 1.01-1.08), body mass index (BMI) (OR: 1.12; 95%CI: 1.02-1.21) and habitual snoring (OR: 3.71; 95%CI: 1.62-8.48) were independently associated with hypoxemia. A logistic regression function (LR model) was developed to predict hypoxemia considering the parameters of -7.73+0.04 age (years), +0.11 BMI, and +1.31 habitual snoring (yes or no). The area under the receiver operating characteristic (ROC) curve for the LR model was 0.76.

conclusionsThe LR model, consisting of age, BMI and habitual snoring, was a useful predictor of hypoxemia during routine sedation for gastrointestinal endoscopy.

Indexed as

Endoscopy, GastrointestinalFemaleHumansHypoxiaMaleMiddle AgedModels, TheoreticalPredictive Value of TestsProcedural SedationProspective StudiesROC Curve

Identifiers

PMID30462756
PMCPMC6218956
OpenAlexW2902518803

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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.