Evidence map›Paper›PMID 36214475›Full record

ArticleCancer medicine2023

Preoperative systemic inflammation response index is an independent prognostic marker for BCG immunotherapy in patients with non-muscle-invasive bladder cancer.

Kun Ye, Ming Xiao, Zitaiyu Li, Kancheng He, Jinhua Wang, Liang Zhu, Wei Xiong, Zhaohui Zhong, Yuxin Tang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
2.1field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Kun YeDepartment of Urology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.ORCID 0000-0002-5248-847X
Ming XiaoDepartment of Urology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Zitaiyu LiDepartment of Urology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Kancheng HeDepartment of Urology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Jinhua WangDepartment of Urology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Liang ZhuDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wei XiongDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhaohui ZhongDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuxin TangDepartment of Urology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Sun Yat-sen University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Systemic Inflammatory Response Index (SIRI) is a novel prognostic biomarker based on peripheral blood counts of neutrophils, monocytes, and lymphocytes. Recent evidence suggests that it is associated with poor prognosis in various cancers. However, the predictive value of the SIRI in non-muscle-invasive bladder cancer (NMIBC) patients treated with intravesical Bacillus Calmette-Guerin (BCG) immunotherapy remains elusive. Therefore, this study aimed to evaluate the potential of SIRI as a prognostic factor in these patients.

methodsA total of 540 patients with NMIBC who underwent BCG immunotherapy following transurethral resection of bladder tumor (TURBT) were enrolled in this study. Using receiver operating characteristic (ROC) curves and the Youden index, patients were divided into high and low SIRI groups based on the cutoff values. Univariable and multivariable logistic regression analyses were performed to identify independent predictors of BCG non-response. Thereafter, propensity score matching (PSM) was used to eliminate bias due to confounding factors between the low and high SIRI groups. Finally, the Kaplan-Meier method was used to compare recurrence-free survival (RFS) and progression-free survival (PFS) between the two groups.

resultsMultivariable logistic regression analysis revealed that high SIRI (p = 0.001), high MLR (p = 0.015), and high tumor pathological T stage (p = 0.015) were significantly correlated with non-response to BCG therapy. In addition, both RFS and PFS were shorter in the high SIRI group than in the other group before and after PSM (both p < 0.05). Collectively, our results indicate that the combination of tumor pathological T staging and the SIRI can enhance the predictive power of BCG response.

conclusionPretreatment peripheral blood SIRI can be employed to predict the response to BCG immunotherapy and the prognosis of NMIBC patients. Taken together, the combination of T stage and SIRI demonstrated robust performance in predicting the response to BCG immunotherapy in NMIBC patients.

Indexed as

Non-Muscle Invasive Bladder NeoplasmsUrinary Bladder NeoplasmsBCG VaccineHumansImmunotherapyInflammationPrognosisRetrospective StudiesBCG VaccineBCG responsebiomarkersinflammationNMIBCsystemic inflammatory response index

Identifiers

PMID36214475
PMCPMC9972176
OpenAlexW4304014392

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.