Evidence map›Paper›PMID 37308747›Full record

ArticleJournal of cancer research and clinical oncology2023

Pretreatment lymphocyte-monocyte ratio (LMR) as a superior predictor of short-term progression outcomes in patients with gastric cancer receiving second- and later-line apatinib regimens.

Hao Shen, Wenxi Dang, Rixin Su, Zhihua Zhang, Shusheng Wu, Mengge Li, Xudong Liu, Yifu He

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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  3. Article
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

8 authors at 3 institutions in 1 country.

Hao Shen *Department of Medical Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Luyang District, Hefei, 230001, China.
Wenxi Dang *Department of Medical Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Luyang District, Hefei, 230001, China.
Rixin SuDepartment of Medical Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Luyang District, Hefei, 230001, China.
Zhihua ZhangDepartment of Medical Oncology, Division of Life Sciences and Medicine, The First Affiliated Hospital of University of Science and Technology of China (USTC), University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, 230001, China.
Shusheng WuDepartment of Medical Oncology, Division of Life Sciences and Medicine, The First Affiliated Hospital of University of Science and Technology of China (USTC), University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, 230001, China.
Mengge LiDepartment of Medical Oncology, Division of Life Sciences and Medicine, The First Affiliated Hospital of University of Science and Technology of China (USTC), University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, 230001, China.
Xudong LiuDepartment of Medical Oncology, Division of Life Sciences and Medicine, The First Affiliated Hospital of University of Science and Technology of China (USTC), University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, 230001, China.
Yifu HeDepartment of Medical Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Luyang District, Hefei, 230001, China. yifuhe@fsyy.ustc.edu.cn.
University of Science and Technology of China · CNAnhui Medical University · CNAnhui Provincial Hospital · CN

Funding

Anhui Province Key Research and Development Program Project 202104j07020044Health Commission of Anhui Province Scientific Research Project AHWJ2021b105Hefei Key Common Technology Research and Major Scientific and Technological Achievement Project 2021YL005
6 · The paper itself

Abstract

purposeLymphocyte-monocyte ratio (LMR) has previously been used as a prognostic predictor in various solid tumors. This research aims in comparing the prognostic predictive Please check and conability of several inflammatory parameters and clinical parameters to validate further the excellent prognostic value of LMR in patients with gastric cancer treated with apatinib.

methodsMonitor inflammatory, nutritional parameters and tumor markers. Cutoff values of the parameters concerned were identified with the X-tile program. Subgroup analysis was made via Kaplan-Meier curves, and univariate and multivariate Cox regression analyses were used to find independent prognostic factors. The nomogram of logistic regression models was constructed according to the results.

resultsA total of 192 patients (115 divided into training group and 77 into validation group) who received the second- or later-line regimen of apatinib were retrospectively analyzed. The optimal cutoff value for LMR was 1.33. Patients with high LMR (LMR-H) were significantly longer than those with low LMR (LMR-L) in progression-free survival (median 121.0 days vs. median 44.5 days, P < 0.001). The predictive value of LMR was generally uniform across subgroups. Meanwhile, LMR and CA19-9 were the only hematological parameters with significant prognostic value in multivariate analysis. The area under the LMR curve (0.60) was greatest for all inflammatory indices. Adding LMR to the base model significantly enhanced the predictive power of the 6-month probability of disease progression (PD). The LMR-based nomogram showed good predictive power and discrimination in external validation.

conclusionLMR is a simple but effective predictor of prognosis for patients treated with apatinib.

Indexed as

MonocytesStomach NeoplasmsHumansLymphocytesPyridinesRetrospective StudiesapatinibPyridinesApatinibGastric cancerInflammation indicesLymphocyte-monocyte ratioPrognosis

Identifiers

PMID37308747
PMCPMC11796524
OpenAlexW4380361649

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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.