Evidence map›Paper›PMID 40160904›Full record

ArticleIndian journal of anaesthesia2025

Factors associated with pulmonary complications after hepatectomy and establishment of nomogram: A real-world retrospective study.

Kunyu Han, Hui Liu, Ruiping Bai, Jiarui Li, Linjuan Zhang, Rui An, Di Peng, Jiamin Zhao, Mengwen Xue, Xin Shen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Indian journal of anaesthesia, 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. 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

10 authors.

Kunyu HanDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0009-0000-0634-8022
Hui LiuDepartment of Biobank, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0000-0002-0372-9492
Ruiping BaiDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0000-0002-4190-3105
Jiarui LiDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0009-0009-4428-8978
Linjuan ZhangDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0009-0009-6235-5396
Rui AnDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0000-0001-7837-7893
Di PengDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0009-0009-8046-8407
Jiamin ZhaoDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0009-0005-1489-2147
Mengwen XueDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0000-0002-7786-8081
Xin ShenDepartment of Anaesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.ORCID https://orcid.org/0000-0003-4999-626X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Hepatectomy is currently the most effective way to treat liver diseases, and its safety has observably improved. However, the incidence of postoperative complications (POCs) remains high. Therefore, exploring the related influencing factors helps identify high-risk groups early and improve patient prognosis. Methods: Clinical data were retrospectively collected from a real-world setting. Patients were divided into two groups based on the incidence of postoperative pulmonary complications (PPCs). Univariate analysis, LASSO regression, and logistic regression were applied to analyse the correlation between PPCs and perioperative indicators. A nomogram prediction model was constructed, whose discrimination, accuracy, and clinical effectiveness were evaluated. Results: The incidence of PPCs was 36.33% among the 1244 patients in this study. The total length of hospital stay and perioperative mortality in the PPCs group were markedly higher ( Conclusions: In this study, the incidence of PPCs after hepatectomy was the highest. Our nomogram model can predict the probability of PPCs after hepatectomy.

Indexed as

Factorshepatectomynomogrampostoperative pulmonary complicationsreal-world studyunivariate analysis

Identifiers

PMID40160904
PMCPMC11949397

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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.