Evidence map›Paper›PMID 38689244›Full record

ArticleBMC gastroenterology2024

Prediction of neoplastic gallbladder polyps in patients with different age level based on preoperative ultrasound: a multi-center retrospective real-world study.

Qi Li, Minghui Dou, Hengchao Liu, Pengbo Jia, Xintuan Wang, Xilin Geng, Yu Zhang, Rui Yang, Junhui Li, Wenbin Yang and 9 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC gastroenterology, 2024. 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
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

19 authors at 7 institutions in 1 country.

Qi LiDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
Minghui DouDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
Hengchao LiuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
Pengbo JiaDepartment of Hepatobiliary Surgery, The First People's Hospital of Xianyang City, Xianyang, Shaanxi, 712000, China.
Xintuan WangDepartment of Hepatobiliary Surgery, The First People's Hospital of Xianyang City, Xianyang, Shaanxi, 712000, China.
Xilin GengDepartment of Hepatobiliary Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, China.
Yu ZhangDepartment of Hepatobiliary Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, China.
Rui YangDepartment of Hepatobiliary Surgery, Central Hospital of Hanzhong City, Hanzhong, Shaanxi, 723000, China.
Junhui LiDepartment of General Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China.
Wenbin YangDepartment of General Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China.
Chunhe YaoDepartment of General Surgery, Xianyang Hospital of Yan'an University, Xianyang, Shaanxi, 712000, China.
Xiaodi ZhangDepartment of General Surgery, 215 Hospital of Shaanxi Nuclear Industry, Xianyang, Shaanxi, 712000, China.
Da LeiDepartment of Hepatobiliary Surgery, Central Hospital of Baoji City, Baoji, Shaanxi, 721000, China.
Chenglin YangDepartment of General Surgery, Central Hospital of Ankang City, Ankang, Shaanxi, 725000, China.
Qiwei HaoDepartment of Hepatobiliary Surgery, The Second Hospital of Yulin City, Yulin, Shaanxi, 719000, China.
Yimin LiuDepartment of Hepatobiliary Surgery, People's Hospital of Baoji City, Baoji, Shaanxi, 721000, China.
Zhihua GuoDepartment of Hepatobiliary Surgery, People's Hospital of Baoji City, Baoji, Shaanxi, 721000, China.
Zhimin GengDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China. gengzhimin@mail.xjtu.edu.cn.
Dong ZhangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China. zhangdong811021@126.com.
First Affiliated Hospital of Xi'an Jiaotong University · CNBaoji City Central Hospital · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CNShaanxi Provincial People's Hospital · CNXian Yang Central Hospital · CNAnkang City Central Hospital · CNHanzhong Central Hospital · CN

Funding

Central University Basic Research Business Fund xzy012020113Key Research and Development Program of Shaanxi Province 2021-SF-016Key Research and Development Program of Shaanxi Province 2022-SF-410National Natural Science Foundation of China No. 62076194
6 · The paper itself

Abstract

backgroundThe prevalence of neoplastic polyps in gallbladder polyps (GPs) increases sharply with age and is associated with gallbladder carcinoma (GBC). This study aims to predict neoplastic polyps and provide appropriate treatment strategies based on preoperative ultrasound features in patients with different age level.

methodsAccording to the age classification of WHO, 1523 patients with GPs who underwent cholecystectomy from January 2015 to December 2019 at 11 tertiary hospitals in China were divided into young adults group (n=622), middle-aged group (n=665) and elderly group (n=236). Linear scoring models were established based on independent risk variables screened by the Logistic regression model in different age groups. The area under ROC (AUC) to evaluate the predictive ability of linear scoring models, long- and short- diameter of GPs.

resultsIndependent risk factors for neoplastic polyps included the number of polyps, polyp size (long diameter), and fundus in the young adults and elderly groups, while the number of polyps, polyp size (long diameter), and polyp size (short diameter) in the middle-aged groups. In different age groups, the AUCs of its linear scoring model were higher than the AUCs of the long- and short- diameter of GPs for differentiating neoplastic and non-neoplastic polyps (all P<0.05), and Hosmer-Lemeshow goodness of fit test showed that the prediction accuracy of the linear scoring models was higher than the long- and short- diameter of GPs (all P>0.05).

conclusionThe linear scoring models of the young adults, middle-aged and elderly groups can effectively distinguish neoplastic polyps from non-neoplastic polyps based on preoperative ultrasound features.

Indexed as

Gallbladder NeoplasmsPolypsUltrasonographyAdultAgedAge FactorsChinaCholecystectomyFemaleHumansMaleMiddle AgedPreoperative CarePreoperative PeriodRetrospective StudiesRisk FactorsGallbladder carcinomaGallbladder polypsLinear scoring modelNeoplastic polyps

Identifiers

PMID38689244
PMCPMC11059696
OpenAlexW4396495333

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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.