Development and External Validation of an Explainable Machine-Learning Model for Predicting Postoperative Pulmonary Complications in Older Adults Undergoing Degenerative Spine Surgery.
Ridan Lei, Jun Ou, Ye Chen, Manjun Luo, Xiaorui Ruan, Jianhui Wei, Ziye Li, Jiabi Qin
Article in Journal of clinical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
8 authors.
Ridan LeiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410013, China.
Jun OuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410013, China.
Ye ChenDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410013, China.
Manjun LuoDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410013, China.
Xiaorui RuanDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410013, China.
Jianhui WeiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410013, China.
Ziye LiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410013, China.
Jiabi QinDepartment of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming 650500, China.ORCID 0000-0002-9360-4991
Funding
Changsha Municipal Natural Science Foundation kq2202470Department of Science and Technology of Hunan Province 2018SK2063Department of Science and Technology of Hunan Province 2020TJ-N07Hunan Outstanding Youth Fund Project 2022JJ10087Natural Science Foundation of Hunan Province of China 2022JJ40207the National Natural Science Foundation Program of China 82473644, 82404362 and 82073653
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.
Development and External Validation of an Explainable Machine-Learning Model for Predicting Postoperative Pulmonary Complications in Older Adults Undergoing Degenerative Spine Surgery. · full record | OpenQuestion