Evidence map›Paper›PMID 42583291›Full record

ArticleJournal of thoracic disease2026

Systemic immune-inflammatory index is associated with malignancy in Lung-RADS 4 lung nodules.

Santiago Ceron, Sierra Broad, Arsalan Khan, Keri Denson, Wara Naeem, Annie Lally, Charita Kunta, Gillian Alex, Jonathan Waxman, Christopher W Seder and 2 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Santiago Ceron *Department of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Sierra Broad *Department of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.ORCID https://orcid.org/0000-0001-8878-971X
Arsalan KhanDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Keri DensonDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Wara NaeemDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Annie LallyDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Charita KuntaDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Gillian AlexDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Jonathan WaxmanDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Christopher W SederDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Michael J LiptayDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Nicole M GeissenDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Better stratification of malignancy risk among high-risk pulmonary nodules detected by low-dose computed tomography (LDCT) is needed. The objective of this study is to determine if an association exists between the systemic immune-inflammatory index (SII) and malignancy in patients with Lung CT Screening Reporting and Data System (Lung-RADS) 4 nodules identified on LDCT. Methods: A retrospective review of patients who underwent LDCT at a single institution between March 2015 and December 2024 was performed to identify patients with Lung-RADS 4A/B/X nodules. Exclusion criteria included a missing complete blood count with differential, being lost to follow-up, and a diagnosis of inflammatory nodules, granulomas, or metastases from other primary cancers upon biopsy. Univariate and multivariate analyses were used to examine the association between SII and malignancy in Lung-RADS 4 nodules. Cut-point analysis was performed to determine the SII cutoff most strongly correlated with underlying malignancy. Results: A total of 123 patients met study criteria. Among high-risk nodules, 63.4% (78/123) were diagnosed with lung cancer, and the median SII for the cohort was 589 (interquartile range, 360-819). On multivariable linear regression analysis, after adjusting for age, sex, race, smoking history, medical comorbidities, body mass index, and nodule size, individuals with malignant nodules had a significantly higher SII [+272; 95% confidence interval (CI): 75-470; P=0.007]. Utilizing Youden's index analysis, the optimal SII cutoff was 561. On multivariable logistic regression analysis, individuals with a high SII, using a cutoff of 561, had significantly greater odds of having malignant nodules (odds ratio 3.74; 95% CI: 1.42-9.85; P=0.008). Conclusions: An elevated SII is associated with malignancy in non-inflammatory Lung-RADS 4 nodules identified on LDCT. Incorporating SII calculation may serve as a useful adjunct for risk-stratification and prognostication in patients with high-risk pulmonary nodules.

Indexed as

low-dose computed tomography (LDCT)primary lung cancerPulmonary nodulessystemic immune-inflammatory index (SII)

Identifiers

PMID42583291
PMCPMC13459959

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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.