Evidence map›Paper›PMID 38862955›Full record

ArticleBMC pulmonary medicine2024

Predictive significance of systemic immune-inflammation index combined with prealbumin for postoperative pneumonia following lung resection surgery.

Haihang Miao, Dingying Ge, Qianwen Wang, Lulu Zhou, Hongsheng Chen, Yibin Qin, Faqiang Zhang

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
–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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Haihang Miao *Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China.
Dingying Ge *Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China.
Qianwen WangDepartment of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China.
Lulu ZhouDepartment of Oncology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning Province, China.
Hongsheng Chen *Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China. chenhongsheng8@163.com.
Yibin Qin *Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, China. 572537172@qq.com.
Faqiang Zhang *Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China. qfzhangxzmc@126.com.

Funding

Jiangsu Province Research Hospital Funding Fund YJXYY202204Nantong Science and Technology Plan Project MSZ2023023NSFC Cultivation Project of Shanghai Pulmonary Hospital fkzr2426
6 · The paper itself

Abstract

backgroundWe aimed to determine whether systemic immune-inflammation index (SII) combined with prealbumin can provide better predictive power for postoperative pneumonia in patients undergoing lung resection surgery.

methodsWe identified eligible patients undergoing lung resection surgery at the Affiliated Hospital of Nantong University from March 2021 to March 2022. Demographic characteristics, clinical data, and laboratory information were collected and reviewed from the electronic medical records of the patients. To test the effect of the combined detection of SII and prealbumin, we made an equation using logistic regression analysis. The receiver operating characteristic curve (ROC) was plotted to evaluate the predictive powers, sensitivity, and specificity of prealbumin, SII, and SII combined with prealbumin. Decision curve analysis (DCA) was used to determine the clinical validity and net benefit of different methods of detection.

resultsTotally 386 eligible patients were included with a median age of 62.0 years (IQR: 55.0, 68.0), and 57 (14.8%) patients presented with postoperative pneumonia within 7 days after surgery. The multivariate regression analysis showed that preoperative SII as continuous variable was associated with an increased risk of postoperative pneumonia (OR: 1.38, 95% CI: 1.19-2.83, P = 0.011), whereas the prealbumin as continuous variable remained as an independent protective predictor of postoperative pneumonia in the adjusted analysis (OR: 0.80, 95% CI: 0.37-0.89, P = 0.023). Compared to SII or prealbumin, the combined detection of preoperative SII and prealbumin showed a higher predictive power with area under curve of 0.79 (95% CI: 0.71-0.86, P < 0.05 for all). Additionally, DCA indicated that the combined detection was superior over preoperative SII or prealbumin alone in clinical validity and net benefit.

conclusionBoth preoperative SII and prealbumin are independent influencing factors for postoperative pneumonia after lung resection surgery. The combined detection of preoperative SII and prealbumin can significantly improve prediction capability to identify potential postoperative pneumonia-susceptible patients, facilitating early interventions to improve postoperative quality of life for surgical lung resection patients.

Indexed as

PneumoniaPostoperative ComplicationsPrealbuminAgedFemaleHumansInflammationLogistic ModelsMaleMiddle AgedPneumonectomyPredictive Value of TestsRetrospective StudiesROC CurvePrealbuminLung resection surgeryPostoperative pneumoniaPrealbuminSystemic immune-inflammation index (SII)

Identifiers

PMID38862955
PMCPMC11167804

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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.