Evidence map›Paper›PMID 38481180›Full record

ArticleBMC surgery2024

Predictive effect of the systemic inflammation response index (SIRI) on the efficacy and prognosis of neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer.

Yuanyi Ding, Zining Liu, Jing Li, Wenbo Niu, Chenhui Li, Bin Yu

Open access · goldAbstract read
In one paragraph

Article in BMC surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
7.1field-weighted citation impact, top 2% 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, 5 syntheses or guidelines pooled it, 25 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

6 authors at 1 institution in 1 country.

Yuanyi DingThe Second General Surgery, Hebei Medical University Fourth Affiliated Hospital and Hebei Provincial Tumour Hospital, Hebei, 050011, China.
Zining LiuThe Second General Surgery, Hebei Medical University Fourth Affiliated Hospital and Hebei Provincial Tumour Hospital, Hebei, 050011, China.
Jing LiThe Second General Surgery, Hebei Medical University Fourth Affiliated Hospital and Hebei Provincial Tumour Hospital, Hebei, 050011, China.
Wenbo NiuThe Second General Surgery, Hebei Medical University Fourth Affiliated Hospital and Hebei Provincial Tumour Hospital, Hebei, 050011, China.
Chenhui LiThe Second General Surgery, Hebei Medical University Fourth Affiliated Hospital and Hebei Provincial Tumour Hospital, Hebei, 050011, China.
Bin YuThe Second General Surgery, Hebei Medical University Fourth Affiliated Hospital and Hebei Provincial Tumour Hospital, Hebei, 050011, China. yubinsswe@163.com.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation is a part of tumours, and inflammatory cells can affect the proliferation, invasion, and development of tumour cells. An increasing number of peripheral blood inflammatory markers have been found to play very important roles in the treatment and prognosis of cancer patients. The systemic inflammatory response index (SIRI) is a newer inflammatory marker, and its role in colorectal cancer, especially in locally advanced rectal cancer, is still unclear.

methodsFrom 2015 to 2020, 198 patients with locally advanced rectal cancer (LARC) who underwent surgery following neoadjuvant chemoradiotherapy (Neo-CRT) were analysed. Patients were categorized into good- and poor- response groups according to their pathological results, and clinical characteristics and baseline parameters were compared between the two groups. The optimal cutoff values for inflammatory indicators were determined using receiver operating characteristic (ROC) analysis. Univariate and multivariate analyses were performed using the Cox proportional hazard model. Survival analysis was performed via the Kaplan‒Meier method.

resultsAfter patients were grouped into good and poor response groups, indicator differences were found in CEA, neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and SIRI. According to the ROC analysis, the NLR (P = 0.015), SII (P = 0.001), and SIRI (P = 0.029) were significant prognostic factors. After univariate and multivariate analyses of the Cox proportional hazards regression model, only the SIRI was found to be an independent prognostic factor for overall survival (OS) and disease-free survival (DFS). Finally, Kaplan‒Meier survival curves also confirmed the ability of the SIRI to predict survival.

conclusionThe preoperative SIRI can be used to predict the response to Neo-CRT in LARC patients and is an independent predictor of OS and DFS in postoperative patients. A high SIRI was associated with poor radiotherapy response and predicted poor OS and DFS.

Indexed as

Neoadjuvant TherapyRectal NeoplasmsHumansInflammationPrognosisRetrospective StudiesSurvival AnalysisCurative effect and prognosisNeoadjuvant chemoradiotherapyRectal cancerSystemic inflammation response index

Identifiers

PMID38481180
PMCPMC10935841
OpenAlexW4392761554

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Registered trials

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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.