Evidence map›Paper›PMID 30833807›Full record

ArticleWorld journal of gastroenterology2019

Establishing a model to measure and predict the quality of gastrointestinal endoscopy.

Luo-Wei Wang, Han Lin, Lei Xin, Wei Qian, Tian-Jiao Wang, Jian-Zhong Zhang, Qian-Qian Meng, Bo Tian, Xu-Dong Ma, Zhao-Shen Li

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  4. Deep learning-based anatomical position recognition for gastroscopic examination.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
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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

10 authors at 4 institutions in 1 country.

Luo-Wei WangDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
Han LinDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
Lei XinDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
Wei QianDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
Tian-Jiao WangDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
Jian-Zhong ZhangUnimed Scientific Inc., Wuxi 214000, Jiangsu Province, China.
Qian-Qian MengDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
Bo TianDepartment of Intensive Care Unit, Shanghai East Hospital, Tongji University, Shanghai 200120, China.
Xu-Dong MaDepartment of Medical Quality, Medical and Health Administration, National Health Commission of China, Beijing 100044, China.
Zhao-Shen LiDigestive Endoscopy Center, Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai 200433, China. lizhaoshenmd@163.com.
Changhai Hospital · CNSecond Military Medical University · CNNational Health and Family Planning Commission · CNShanghai East Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTens of millions of gastrointestinal endoscopic procedures are performed every year in China, but the quality varies significantly and related factors are complex. Individual endoscopist- and endoscopy division-related factors may be useful to establish a model to measure and predict the quality of endoscopy.

aimTo establish a model to measure and predict the quality of gastrointestinal endoscopic procedures in mainland China.

methodsSelected data on endoscopy experience, equipment, facility, qualification of endoscopists, and other relevant variables were collected from the National Database of Digestive Endoscopy of China. The multivariable logistic regression analysis was used to identify the potential predictive variables for occurrence of medical malpractice and patient disturbance. Linear and nonlinear regressions were used to establish models to predict incidence of endoscopic complications.

resultsIn 2012, gastroscopy/colonoscopy-related complications in mainland China included bleeding in 4,359 cases (0.02%) and perforation in 914 (0.003%). Endoscopic-retrograde-cholangiopancreatography-related complications included severe acute pancreatitis in 593 cases (0.3%), bleeding in 2,151 (1.10%), perforation in 257 (0.13%) and biliary infection in 4,125 (2.11%). Moreover, 1,313 (5.0%) endoscopists encountered with medical malpractice, and 5,243 (20.0%) encountered with the disturbance from patients. The length of endoscopy experience, weekly working hours, weekly night shifts, annual vacation days and job satisfaction were predictors for the occurrence of medical malpractice and patient disturbance. However, the length of endoscopy experience and the ratio of endoscopists to nurses were not adequate to establish an effective predictive model for endoscopy complications.

conclusionThe workload and job satisfaction of endoscopists are valuable predictors for medical malpractice or patient disturbance. More comprehensive data are needed to establish quality-predictive models for endoscopic complications.

Indexed as

ChinaClinical CompetenceDigestive System DiseasesEndoscopy, GastrointestinalEvidence-Based MedicineGastroenterologistsHealth Care SurveysHumansJob SatisfactionMalpracticePostoperative ComplicationsPrognosisQuality ControlQuality of Health CareWorkloadColonoscopyEndoscopic retrograde cholangiopancreatographyEndoscopyGastroscopyPerformance predictorPredictive modelQuality control

Identifiers

PMID30833807
PMCPMC6397728
OpenAlexW2916146874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.