Evidence map›Paper›PMID 39620134›Full record

ArticleiScience2024

Development and validation of machine learning models for intraoperative blood transfusion prediction in severe lumbar disc herniation.

Qiang Liu, An-Tian Chen, Runmin Li, Liang Yan, Xubin Quan, Xiaozhu Liu, Yang Zhang, Tianyu Xiang, Yingang Zhang, Anfa Chen and 23 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

33 authors.

Qiang LiuDepartment of Orthopedics, Xianyang Central Hospital, Xianyang, Shannxi, China.
An-Tian ChenDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Runmin LiDepartment of Foot and Ankle Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Liang YanDepartment of Spinal Surgery, Honghui Hospital of Xi'an Jiaotong University, Xi'an, China.
Xubin QuanDepartment of Spinal Surgery, Guangxi Medical University Affiliated Liuzhou People's Hospital, Liuzhou, China.
Xiaozhu LiuDepartment of Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yang ZhangCollege of Medical Informatics, Chongqing Medical University, Chongqing, China.
Tianyu XiangInformation Center, The University-Town Hospital of Chongqing Medical University, Chongqing, China.
Yingang ZhangDepartment of Orthopaedics of the First Affiliated Hospital, Medical School, Xi' an Jiaotong University, Xi'an, China.
Anfa ChenDepartment of Orthopedics, Jiangxi Province Hospital of Integrated Chinese & Western Medicine, Nanchang, China.
Hao JiangSpine Tumor Center, Changzheng Hospital, Second Military Medical University, 415 Feng Yang Road, Shanghai 200003, China.
Xuewen HouDepartment of Radiology, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China.
Qizhong XuDepartment of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Weiheng HeDepartment of Radiology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.
Liang ChenDepartment of Radiology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.
Xin ZhouThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, China.
Qiang ZhangFirst Department of Orthopaedics, Xi 'an Central Hospital, Xi'an, Shaanxi Province, China.
Wei HuangDepartment of Orthopedics, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, Guangdong 528000, China.
Haopeng LuanDepartment of Spine Surgery, The Six Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Xinghua SongDepartment of Spine Surgery, The Six Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Xiaolin YuDepartment of Orthopedics, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xiangdong XiDepartment of Joint Surgery, No.215 Hospital of Shaanxi Nuclear Industry, Xianyang, Shannxi, China.
Kai WangKey Laboratory of Neurological Diseases, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Shi-Nan WuEye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Wencai LiuDepartment of Orthopedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Yusi ZhangCancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jialiang ZhengCancer Research Center, School of Medicine, Xiamen University, Xiamen, China.
Haizhen DingState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China.
Chan XuState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China.
Chengliang YinFaculty of Medicine, Macau University of Science and Technology, Macau, China.
Zhaohui HuDepartment of Spinal Surgery, Guangxi Medical University Affiliated Liuzhou People's Hospital, Liuzhou, China.
Baicheng QiuMedical Cosmetic Department, Foresea Life Insurance Guangxi Hospital, Nanning, China.
Wenle LiDepartment of Spinal Surgery, Guangxi Medical University Affiliated Liuzhou People's Hospital, Liuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lumbar disc herniation (LDH) is a common cause of lower back pain and sciatica, and posterior lumbar interbody fusion (PLIF) is always employed. This multicenter retrospective study investigates predicting intraoperative blood transfusion for LDH patients undergoing PLIF in China. The research includes 6,241 patients from 22 medical centers and employs 8 feature selection methods and 10 machine learning models, including an integrated stacking model. The optimal predictive model was selected based on the receiver operating characteristic area under the curve, clinical applicability, and computational efficiency. Among the evaluated combinations, the simulated annealing support vector machine recursive + stacking model achieved the highest performance with an area under the curve of 0.884, supported by robust calibration and decision curve analyses. A publicly accessible web calculator was developed to assist clinicians in decision-making. This work significantly enhances intraoperative transfusion predictions, providing valuable tools for improving patient management.

Indexed as

Computer scienceHealth sciencesNatural sciences

Identifiers

PMID39620134
PMCPMC11607534

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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.