Prechemoradiotherapy Systemic Inflammation Response Index Stratifies Stage IIIB/C Non-Small-Cell Lung Cancer Patients into Three Prognostic Groups: A Propensity Score-Matching Analysis Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1155/2021/6688138
Purpose. We explored the prognostic influence of the systemic inflammation response index (SIRI) on the survival outcomes of stage IIIB/C non-small-cell lung cancer (NSCLC) patients who underwent concurrent chemoradiotherapy. Methods. Present propensity score-matching (PSM) analysis comprised 876 stage IIIB/C NSCLC patients who received 1–3 cycles of platinum-based doublets concurrent with thoracic radiotherapy from 2007 to 2017. The primary and secondary objectives were the relationships between the SIRI values and overall (OS) and progression-free survival, respectively. Propensity scores were calculated for SIRI groups to adjust for confounders and to facilitate well-balanced comparability between the SIRI groups by creating 1 : 1 matched study groups. Results. The receiver operating characteristic curve analysis identified an optimal SIRI cutoff at 1.9 for OS (AUC: 78.8%; sensitivity: 73.7%; specificity: 70.7%) and PFS (AUC: 80.5%; sensitivity: 75.8%; specificity: 72.9%) and we grouped the patients into two PSM cohorts: SIRI < 1.9 (N = 304) and SIRI ≥ 1.9 (N = 304), respectively. The SIRI ≥ 1.9 cohort had significantly worse median OS ( P < 0.001 ) and PFS ( P < 0.001 ) than their SIRI < 1.9 companions. The further combination of SIRI with disease stage exhibited that the SIRI-1 (IIIB and SIRI < 1.9) and SIRI-3 (IIIC and SIRI ≥ 1.9) cohorts had the best and worst outcomes, respectively, with SIRI-2 cohort (IIIB and SIRI ≥ 1.9 or IIIC and SIRI < 1.9) being remained in between ( P < 0.001 for OS and PFS, separately). In multivariate analysis, the two- and three-laddered stratifications per the 1.9 cutoffs and SIRI groups retained their independent significance, individually. Conclusions. The SIRI ≥ 1.9 independently prognosticated significantly worse OS and PFS results and plated the stage IIIB/C patients into three fundamentally distinct prognostic groups.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2021/6688138
- https://downloads.hindawi.com/journals/jo/2021/6688138.pdf
- OA Status
- hybrid
- Cited By
- 15
- References
- 28
- Related Works
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- OpenAlex ID
- https://openalex.org/W3125933111
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- OpenAlex ID
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https://openalex.org/W3125933111Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2021/6688138Digital Object Identifier
- Title
-
Prechemoradiotherapy Systemic Inflammation Response Index Stratifies Stage IIIB/C Non-Small-Cell Lung Cancer Patients into Three Prognostic Groups: A Propensity Score-Matching AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-23Full publication date if available
- Authors
-
Erkan Topkan, Uğur Selek, Ahmet Küçük, Veysel Haksöyler, Yurday Özdemir, Duygu Sezen, Hüseyin Mertsoylu, Ali Ayberk Beşen, Yasemin Bölükbaşı, Özgür Özyılkan, Berrin PehlivanList of authors in order
- Landing page
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https://doi.org/10.1155/2021/6688138Publisher landing page
- PDF URL
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https://downloads.hindawi.com/journals/jo/2021/6688138.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/jo/2021/6688138.pdfDirect OA link when available
- Concepts
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Medicine, Propensity score matching, Internal medicine, Cohort, Lung cancer, Stage (stratigraphy), Multivariate analysis, Proportional hazards model, Hazard ratio, Oncology, Gastroenterology, Confidence interval, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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15Total citation count in OpenAlex
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2025: 1, 2024: 4, 2023: 8, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
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28Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5064628495 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I188740104 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8299999833106995 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.82717348 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |