Evidence map›Paper›PMID 39026185›Full record

ArticleBMC cancer2024

Prognostic value of sarcopenia and inflammatory indices synergy in patients with esophageal squamous cell carcinoma undergoing chemoradiotherapy.

Ling Xiao, Yudi Liu, Xue Zhang, Xinyu Nie, Hansong Bai, Jiahua Lyu, Tao Li

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

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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

7 authors.

Ling Xiao *School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Hospital, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Yudi Liu *School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Hospital, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Xue ZhangSchool of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Hospital, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Xinyu NieDepartment of Radiation Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Hansong BaiDepartment of Radiation Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Jiahua LyuDepartment of Radiation Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China. winlttljh@163.com.
Tao LiDepartment of Radiation Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China. litaoxmf@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeSarcopenia has been demonstrated to be adversely correlated with the prognosis of various cancers. Our study aimed to estimate the prognostic value of sarcopenia in conjunction with inflammatory indices [neutrophil-to-lymphocyte ratio (NLR)] for evaluating the prognosis of patients with esophageal squamous cell carcinoma (ESCC) undergoing chemoradiotherapy. MATERIALS AND

methodsThis study retrospectively analyzed 255 patients with ESCC who received chemoradiotherapy from January 2012 to December 2018. Multivariate Cox regression analysis was employed to identify prognostic values of assessed factors following a novel prognostic scoring system (SMI-NLR), covering sarcopenia and NLR during different treatment courses.

resultsKaplan-Meier analysis revealed significantly greater overall survival (OS) rates in the nonsarcopenia group than in the sarcopenia group (P = 0.011). The low NLR group (< 4.84) demonstrated significantly higher OS rates than the high NLR group (≥ 4.84) (P < 0.001). The SMI-NLR prognostic model was established through multivariate analysis, revealing that Karnofsky performance status [hazard ratio (HR) = 0.285; 95% confidence interval (CI) = 0.117-0.699; P = 0.006], clinical staging (HR = 5.223; 95% CI = 1.879-14.514; P = 0.002), and preSMI-NLR (HR = 0.544; 95% CI = 0.330-0.898; P = 0.017) were independent factors affecting the prognosis of patients with ESCC. Nomograms were constructed based on these data providing more accurate 1-, 3-, and 5-year survival rates for patients with ESCC.

conclusionOur study indicates the effectiveness of the combined sarcopenia and NLR prognostic model for the prognostic evaluation of patients with ESCC having undergone chemoradiotherapy.

Indexed as

ChemoradiotherapyEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaNeutrophilsSarcopeniaAdultAgedFemaleHumansInflammationKaplan-Meier EstimateLymphocyte CountLymphocytesMaleMiddle AgedPrognosisChemoradiotherapyEsophageal squamous cell carcinomaNeutrophil-to-lymphocyte ratioSarcopenia

Identifiers

PMID39026185
PMCPMC11256500

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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.