Evidence map›Paper›PMID 36477640›Full record

Trial reportSurgical endoscopy2023

A prediction model and nomogram for technical difficulty of peroral endoscopic myotomy.

Xin-Yang Liu, Zi-Han Geng, Wei-Feng Chen, Mei-Dong Xu, Shi-Yao Chen, Yun-Shi Zhong, Yi-Qun Zhang, Li-Li Ma, Wen-Zheng Qin, Jian-Wei Hu and 3 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Xin-Yang Liu *Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Zi-Han Geng *Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Wei-Feng Chen *Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Mei-Dong XuEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Shi-Yao ChenEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Yun-Shi ZhongEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Yi-Qun ZhangEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Li-Li MaEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Wen-Zheng QinEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Jian-Wei HuEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Ming-Yan CaiEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Quan-Lin LiEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China. li.quanlin@zs-hospital.sh.cn.
Ping-Hong ZhouEndoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China. zhou.pinghong@zs-hospital.sh.cn.ORCID 0000-0002-5434-0540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsPeroral endoscopic myotomy (POEM) is a promising endoscopic technique for achalasia. We aimed to establish a regression model and develop a simple nomogram to predict the technical difficulty of POEM in a single center with large volume cases.

methods3385 achalasia patients treated with POEM were included, and the technical difficulty was systemically evaluated. All of them were randomized into the training cohort (n = 1693) or internal validation cohort (n = 1692). Then, the prediction model and nomogram were proposed based on multivariate logistic regression analysis in the training cohort and assessed in the validation cohort.

resultsOf 3385 patients, technical difficulty happened in 417 (12.32%) cases. In the training stage, six factors were weighted based on the β coefficient from the regression model, including age, disease duration, sigmoid esophagus, mucosal edema, submucosal fibrosis, and tunnel length. The patients were categorized into low-risk (< 0.1), medium-risk (0.1-0.25), and high-risk (> = 0.25) groups. Our score model performed satisfying discrimination with the areas under the receiver-operating characteristic curve (AUC) of 0.743 (95% confidence interval (CI), 0.701-0.785) and calibration with goodness of fit in the Hosmer-Lemeshow test (P = 0.088) in internal validation.

conclusionsThe prediction model and nomogram demonstrated good performance in predicting the technical difficulty of POEM.

Indexed as

Digestive System Surgical ProceduresEsophageal AchalasiaMyotomyColon, SigmoidHumansNomogramsAchalasiaNomogramPOEMTechnical difficulty

Identifiers

PMID36477640

What OpenQuestion holds

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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.