Evidence map›Paper›PMID 34078965›Full record

ArticleScientific reports2021

Good prediction of treatment responses to neoadjuvant chemoradiotherapy for esophageal cancer based on preoperative inflammatory status and tumor glucose metabolism.

Chuan Li, Jing-Wei Lin, Hui-Ling Yeh, Cheng-Yen Chuang, Chien-Chih Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  4. Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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  12. PretreatmentNuclear medicine and molecular imaging · 2022
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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

5 authors at 3 institutions in 1 country.

Chuan LiDepartment of Radiation Oncology, Taichung Veterans General Hospital, No.1650, Sect. 4, Taiwan Boulevard, Taichung, 407, Taiwan.
Jing-Wei LinDepartment of Radiation Oncology, Taichung Veterans General Hospital, No.1650, Sect. 4, Taiwan Boulevard, Taichung, 407, Taiwan.
Hui-Ling YehDepartment of Radiation Oncology, Taichung Veterans General Hospital, No.1650, Sect. 4, Taiwan Boulevard, Taichung, 407, Taiwan.
Cheng-Yen ChuangDivision of Thoracic Surgery, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan.
Chien-Chih ChenDepartment of Radiation Oncology, Taichung Veterans General Hospital, No.1650, Sect. 4, Taiwan Boulevard, Taichung, 407, Taiwan. chiencheh@gmail.com.
Taichung Veterans General Hospital · TWChiayi Chang Gung Memorial Hospital · TWNational Chung Hsing University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop a tool for predicting pathologic complete response (pCR) after neoadjuvant chemoradiotherapy (neoCRT) in patients with esophageal cancer by combining inflammatory status and tumor glucose metabolic activity. This study included 127 patients with locally advanced esophageal cancer who had received neoCRT followed by esophagectomy from 2007 to 2016. We collected their neutrophil-lymphocyte ratio (NLR) and standardized uptake value (SUV) obtained from fluorodeoxyglucose positron emission tomography (PET/CT) before and after neoCRT. Univariate and multivariate logistic regression analyses were performed to identify potential predictive factors for pCR. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of predictors were calculated. Between pCR and non-pCR groups, there were no statistically significant differences in patient characteristics, such as sex, age, site, and clinical T/N stage. Multivariate analyses identified four independent predictors for pCR, including pre-OP NLR < 5.4 [OR 11.179; 95% CI 8.385-13.495; p = 0.003], NLR change (ΔNLR) < 3 [OR 4.891; 95% CI 2.274-9.180; p = 0.005], changes in SUV (ΔSUV) > 7.2 [OR 3.033; 95% CI 1.354-6.791; p = 0.007], and SUV changes ratio (ΔSUV ratio) > 58% [OR 3.585; 95% CI 1.576-8.152; p = 0.002]. ΔNLR had the highest accuracy and NPV (84.3% and 90.3%, respectively). Combined factors of ΔNLR < 3 and ΔSUV ratio > 58% had the best PPV for pCR (84.8%). Inflammatory status (ΔNLR) and tumor glucose metabolic activity (ΔSUV ratio), when considered together, constitute a promising low-invasive tool with high efficacy for prediction of treatment response before surgery.

Indexed as

AdultAgedAge FactorsAntineoplastic AgentsBiomarkersCarcinoma, Squamous CellChemoradiotherapyEsophageal NeoplasmsEsophagectomyFemaleFluorodeoxyglucose F18GlucoseHumansInflammationLeukocyte CountLymphocytesAntineoplastic AgentsBiomarkersFluorodeoxyglucose F18GlucoseRadiopharmaceuticals

Identifiers

PMID34078965
PMCPMC8172631
OpenAlexW3165468997

What OpenQuestion holds

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LicenceCC BY
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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.