Evidence map›Paper›PMID 40399778›Full record

Trial reportBMC anesthesiology2025

Development and validation of a nomogram to pediatric postoperative pulmonary complications following thoracic surgery.

Lei Wang, Ting Xiao, Zhen Du, Tiange Chen, Dongjie Pei, Shuangquan Qu

Abstract readValidation StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC anesthesiology, 2025. 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Lei WangDepartment of Anesthesiology, the Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan children's hospital), Yuhua District, 86 Ziyuan Road, Changsha, Hunan, China.
Ting XiaoDepartment of Anesthesiology, the Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan children's hospital), Yuhua District, 86 Ziyuan Road, Changsha, Hunan, China.
Zhen DuDepartment of Anesthesiology, the Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan children's hospital), Yuhua District, 86 Ziyuan Road, Changsha, Hunan, China.
Tiange ChenDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Dongjie PeiDepartment of Anesthesiology, the Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan children's hospital), Yuhua District, 86 Ziyuan Road, Changsha, Hunan, China.
Shuangquan QuDepartment of Anesthesiology, the Affiliated Children's Hospital Of Xiangya School of Medicine, Central South University (Hunan children's hospital), Yuhua District, 86 Ziyuan Road, Changsha, Hunan, China. shuangquanqu@126.com.

Funding

the Hunan Provincial Natural Science Foundation of China 2019JJ50295the Hunan Provincial Natural Science Foundation of China 2023JJ30325
6 · The paper itself

Abstract

backgroundSince the respiratory anatomy and physiology of children differ from those of adults, they are more susceptible to postoperative pulmonary complications after thoracic surgery that requires one-lung ventilation. Hypothesizing that the incidence of postoperative pulmonary complications could be predicted using easily accessible perioperative variables, we aimed to develop a nomogram specifically for children receiving thoracic surgery with one-lung ventilation.

methodsA total of 361 children undergoing thoracic surgery with one-lung ventilation were randomly assigned to two groups: a training cohort (80%) and a validation cohort (20%). The training cohort was utilized to develop a nomogram, whereas the validation cohort was used to assess its performance. The outcome of this study was the incidence of postoperative pulmonary complications. Univariate analysis and the least absolute shrinkage and selection operator regression model were applied to select the most relevant prognostic predictors. Multivariable logistic regression was used to develop a nomogram based on the selected prediction factors. Internal validation was conducted to evaluate its performance. The C-index and calibration plots were used to assess its discriminative ability and calibration.

resultsAmong the included patients, 109 (30.2%) presented postoperative pulmonary complications. Four predictive factors were ultimately selected to develop the nomogram. They were preoperative neutrophil-to-lymphocyte ratio, intraoperative ventilation mode, maximum peak airway pressure and minimum oxygenation index during one-lung ventilation. By incorporating these factors, the nomogram demonstrated strong C-indices of 0.909 (95% confidence interval (CI) [0.809-0.82]) and 0.871 (95% CI [0.795-0.945]) in the training and validation cohorts, respectively, along with well-matched calibration curves.

conclusionThe nomogram, based on four objective and easily assessed factors, demonstrates excellent predictive performance for pediatric postoperative pulmonary complications after one-lung ventilation, enabling early risk assessment and targeted interventions to improve patient outcomes.

trial registrationThis study is registered at the Chinese Clinical Trial Registry (Registration number: ChiCTR2300072042, Date of Registration: 1/6/2023).

Indexed as

Lung DiseasesNomogramsOne-Lung VentilationPostoperative ComplicationsThoracic Surgical ProceduresChildChild, PreschoolCohort StudiesFemaleHumansInfantMaleChildrenNomogramOne-lung ventilationPostoperative pulmonary complicationsPPCsThoracic surgery

Identifiers

PMID40399778
PMCPMC12096645

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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.