Evidence map›Paper›PMID 31331297›Full record

ArticleBMC cancer2019

Preoperative systemic inflammation score (SIS) is superior to neutrophil to lymphocyte ratio (NLR) as a predicting indicator in patients with esophageal squamous cell carcinoma.

Xiaobin Fu, Tingting Li, Yaqing Dai, Jiancheng Li

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Preoperative Low Serum Basophil Levels Predict Poor Prognosis for the Patients with Esophageal Squamous Cell Carcinoma.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2026
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  10. Systemic inflammation score as a predictor of death within one year after esophagectomy.Esophagus : official journal of the Japan Esophageal Society · 2024
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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

4 authors at 3 institutions in 1 country.

Xiaobin FuDepartment of Radiation Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Tingting LiDepartment of Radiation Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Yaqing DaiDepartment of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, 420 Fuma Road, Jin'an District, Fuzhou, 350014, Fujian, China.
Jiancheng LiDepartment of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, 420 Fuma Road, Jin'an District, Fuzhou, 350014, Fujian, China. jianchengli_jack@126.com.
Fujian Provincial Cancer Hospital · CNFujian Medical University · CNSecond Affiliated Hospital of Fujian Medical University · CN

Funding

Fujian Provincial Platform for Medical Laboratory Research and Key Laboratory for Tumor Individualized Active Immunity FYKFKT-2017015
6 · The paper itself

Abstract

backgroundThe aim of this study was to assess the prognostic significance of preoperative systemic inflammation score (SIS) on patients with esophageal squamous cell carcinoma (ESCC).

methodsA total of 357 ESCC patients who accepted radical esophagectomy between January 2008 and December 2009 at our institution were recruited in the analysis. The cut-off finder application was used to calculate the optimal cutoff values. The Chi-squared test or Fisher's exact test were used to analyze categorical variables. Overall survival (OS) was calculated using the Kaplan-Meier method and the log-rank test. Multivariate analysis was calculated using Cox regression analysis model. A model combining SIS was created and its performance was evaluated using the Akaike information criterion (AIC) and concordance index (C-index).

resultsThe median follow-up time was 58 months (range, 1-84 months). The 5-year OS rate was 50% (95% CI, 49.94-50.06%). The optimal cut-off values for preoperative neutrophil to lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and serum albumin (Alb) were 2.27, 3.79 and 36.55, respectively. Univariate analyses revealed that gender (P = 0.047), T stage (P < 0.001), N stage (P < 0.001), vascular invasion (P < 0.001), tumor location (P = 0.018), tumor length(P < 0.001), NLR (P = 0.006), LMR (P = 0.007), serum Alb (P = 0.001), and SIS (P < 0.001) were significantly associated with OS. Independent prognostic factors for OS were T stage, N stage, tumor location, tumor length, and SIS. However, NLR was not an independent prognostic factor in multivariate analysis. The model combining SIS had smaller AIC and higher C-index compared to the model without SIS, which suggesting that the adding the SIS to the multivariate model increasing the predictive accuracy of the OS in the ESCC patients treated with radical esophagectomy and 3-field lymphadenectomy (3-FL).

conclusionsSIS may treat as a novel prognostic factor than NLR for ESCC patients who underwent radical esophagectomy and 3-FL. However, Larger-scale studies are needed to validate these findings.

Indexed as

Severity of Illness IndexAdultAgedAged, 80 and overChi-Square DistributionData AccuracyEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaEsophagectomyFemaleFollow-Up StudiesHumansInflammationKaplan-Meier EstimateLymph Node ExcisionLymphocytesSerum Albumin, HumanEsophageal squamous cell carcinomaNeutrophil to lymphocyte ratioPrognosisSystemic inflammation score

Identifiers

PMID31331297
PMCPMC6647281
OpenAlexW2963410711

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.