Evidence map›Paper›PMID 29761858›Full record

ArticleCancer medicine2018

Predictive impact of the inflammation-based indices in colorectal cancer patients with adjuvant chemotherapy.

Yong Tao, Lei Ding, Guan Gen Yang, Jian Ming Qiu, Dong Wang, Hongtao Wang, Chao Fu

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

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
0.8field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 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

7 authors at 2 institutions in 1 country.

Yong TaoZhejiang Chinese Medicine University Affiliated No.3 Hangzhou Hospital, Hangzhou, China.ORCID http://orcid.org/0000-0002-6988-9421
Lei DingThe Third People's Hospital of Hangzhou, Hangzhou, China.
Guan Gen YangThe Third People's Hospital of Hangzhou, Hangzhou, China.
Jian Ming QiuThe Third People's Hospital of Hangzhou, Hangzhou, China.
Dong WangThe Third People's Hospital of Hangzhou, Hangzhou, China.
Hongtao WangZhejiang Chinese Medicine University Affiliated No.3 Hangzhou Hospital, Hangzhou, China.
Chao FuZhejiang Chinese Medicine University Affiliated No.3 Hangzhou Hospital, Hangzhou, China.
Third People's Hospital of Hangzhou · CNZhejiang Chinese Medical University · CN

Funding

Medical Fund for Special Diseases of Key Department of Hangzhou 20150733Q28Medical Fund for Special Diseases of Key Department of Hangzhou 20160533B27Natural Science Foundation of Zhejiang Province LY15H030001Natural Science Foundation of Zhejiang Province LY15H160001
6 · The paper itself

Abstract

Increasing evidences reported that cancer-triggered inflammation was associated with survival prognosis from colorectal cancer (CRC). However, the comprehensive effects of inflammatory-based coNLR-PLR that combines neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) rarely remain to be determined during chemotherapy. We retrospectively analyzed clinical data and baseline laboratory parameters from 153 colorectal cancer patients who underwent palliative adjuvant chemotherapy between January 2009 to January 2012. Receiver operating characteristic (ROC) curves and linear regression analyzed the predictive ability of NLR, and PLR for calculating the score of coNLR-PLR. Overall survival (OS) and recurrence-free survival (RFS) rates were estimated using the Kaplan-Meier method and analyzed by the Cox proportional hazards model in univariate and multivariate analysis. The optimal cut-off value of NLR and PLR was 2.24 and 186 by the ROC analysis. Kaplan-Meier method showed that patients with high coNLR-PLR score was associated with poorer OS and RFS (all P < .05). In univariate and multivariate analysis, it obtained that the coNLR-PLR severed as a strong independent prognostic factor for OS and RFS (all P < .05). These results highlight that coNLR-PLR index severed as a strong predictor of prognosis biomarker in CRC patients receiving adjuvant chemotherapy. Furthermore, its assessment could contribute to accurately predicting prognosis after chemotherapy in clinical practice.

Indexed as

adjuvant chemotherapycolorectal cancerneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratio

Identifiers

PMID29761858
PMCPMC6051147
OpenAlexW2804785475

What OpenQuestion holds

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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.