Evidence map›Paper›PMID 35990092›Full record

ArticleFrontiers in surgery2022

Predictive value of modified systemic inflammation score for postoperative unplanned ICU admission in patients with NSCLC.

Zhulin Wang, Hua Zhang, Chunyao Huang, Kaiyuan Li, Wenqing Luo, Guoqing Zhang, Xiangnan Li

Abstract read
In one paragraph

Article in Frontiers in surgery, 2022. 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

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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

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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
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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

7 authors.

Zhulin WangDepartment of Thoracic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou China.
Hua ZhangDepartment of Cardiovascular surgery, Henan Provincial Chest Hospital, Zhengzhou China.
Chunyao HuangDepartment of Thoracic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou China.
Kaiyuan LiDepartment of Thoracic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou China.
Wenqing LuoDepartment of Thoracic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou China.
Guoqing ZhangDepartment of Thoracic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou China.
Xiangnan LiDepartment of Thoracic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this study was to investigate the predictive value of the modified systemic inflammation score (mSIS) in postoperative unplanned admission to the intensive care unit (ICU) in patients with non-small-cell lung cancer (NSCLC). Methods: The clinical data of 1,321 patients with NSCLC treated with thoracic surgery in our hospital from August 2019 to June 2021 were analyzed retrospectively. The preoperative mSIS, which takes into account the serum albumin (ALB) level and lymphocyte-to-monocyte ratio (LMR), was recorded as 0, 1 or 2 and then was used to identify high-risk patients with unplanned admission to the ICU. The independent risk factors for unplanned admission to the ICU in patients with NSCLC after surgery were identified by multivariate logistic regression analysis. Results: A total of 1,321 patients, including 549 (41.6%) males and 772 (58.4%) females, were included. The median age was 57 years (range 16-95 years). The incidence of unplanned admission to the ICU in patients with mSIS = 2 was significantly higher than that in those with mSIS = 0 and mSIS = 1. The multivariate analysis showed that an mSIS of 2 (OR = 3.728; Conclusions: The mSIS scoring system can be used as a simplified and effective predictive tool for unplanned ICU admission in patients with NSCLC.

Indexed as

lung cancer surgerymSISNSCLCpostoperative complicationsunplanned ICU admission

Identifiers

PMID35990092
PMCPMC9381959

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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.