Evidence map›Paper›PMID 33633464›Full record

ArticleCancer management and research2021

Systemic Inflammation Response Index (SIRI) Independently Predicts Survival in Advanced Lung Adenocarcinoma Patients Treated with First-Generation EGFR-TKIs.

Shun Jiang, Sisi Wang, Qianqian Wang, Chao Deng, Yuhua Feng, Fang Ma, Jin'an Ma, Xianling Liu, Chunhong Hu, Tao Hou

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 15% of its field
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Association between the systemic inflammation response index and prognosis in lung cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

10 authors at 1 institution in 1 country.

Shun JiangDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Sisi WangDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Qianqian WangDepartment of Oncology, The Affiliated ZhuZhou Hospital of XiangYa Medical College, Central South University, ZhuZhou, 412007, Hunan, People's Republic of China.
Chao DengDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Yuhua FengDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Fang MaDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Jin'an MaDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Xianling LiuDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Chunhong HuDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.ORCID 0000-0003-3857-4598
Tao HouDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.ORCID 0000-0001-8158-8114
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic inflammation response index (SIRI) has been reported to be an effective blood-based biomarker for predicting prognosis in various kinds of cancer patients. However, the prognostic role of SIRI in advanced lung adenocarcinoma patient remains unclear.

methodsThe aim of the present study is to evaluate the prognostic role of SIRI in EGFR-mutant advanced lung adenocarcinoma patients treated with first-generation EGFR-TKIs. A total of 245 patients who received gefitinib, erlotinib, or icotinib at the Second Xiangya Hospital were retrospectively evaluated. SIRI was defined as neutrophil count×monocyte/lymphocyte count. The optimal cut-off value was determined according to receiver operation characteristic curve analysis. Characteristics of patients were compared via chi-square test or Fisher's exact test. Survivals were estimated by the Kaplan-Meier method and compared by the Log rank test. Multivariate analysis was estimated using the Cox proportional hazards model.

resultsIt is showed that high SIRI was associated with male patient, smoker, worse ECOG PS, 19-DEL mutation. Kaplan-Meier survival analysis showed that ECOG PS, brain metastasis, SIRI were significantly correlated with progression-free survival (PFS), and gender, ECOG PS, brain metastasis, NLR and SIRI were significantly correlated with overall survival (OS). Multivariate analysis showed that SIRI and ECOG PS independently predict PFS and OS.

conclusionOur findings indicate that SIRI is an effective and convenient marker for predicting prognosis in advanced EGFR-mutant lung adenocarcinoma patients treated with first-generation TKI.

Indexed as

EGFR-TKIlung adenocarcinomaprognosisSIRI

Identifiers

PMID33633464
PMCPMC7900776
OpenAlexW3129630296

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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.