Evidence map›Paper›PMID 34801029›Full record

ArticleLipids in health and disease2021

Levels of pretreatment blood lipids are prognostic factors in advanced NSCLC patients treated with anlotinib.

Mengqiu Tang, Chao Song, Yaowen Zhang, Xiaoyu Xu, Chen Wang, Zhanchun Zhang, Tian Chen

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  3. Clinical predictive factors of the efficacy of immune checkpoint inhibitors and kinase inhibitors in advanced hepatocellular cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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 1 institution in 1 country.

Mengqiu Tang *Department of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Chao Song *Department of Surgery, Yuyao Maternity and Child Health Care Hospital, Ningbo, China.
Yaowen ZhangDepartment of Cardiovascular Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Xiaoyu XuDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Chen WangDepartment of Gastroenterology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Zhanchun ZhangDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Tian ChenDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China. lhldbyyct@126.com.ORCID http://orcid.org/0000-0001-8490-600X
Ningbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnlotinib, a small molecule for multi-target tyrosine kinase inhibition, is the third or further line of defense for treatment of non-small cell lung cancer (NSCLC). Findings from an ALTER0303 phase III trial revealed that this drug confers significant survival benefits in patients. Although numerous inflammatory biomarkers have been shown to play vital roles in treatment, the clinical significance of blood lipid levels before treatment has not been evaluated. Here, this research aims to explore the relationship between blood lipids and efficacy of anlotinib, with a view of generating insights to guide future development of convenient and individualized treatment therapies.

methodsThis study analyzed basal blood lipids levels, including triglycerides (TG), total cholesterol (TC), low density lipoprotein (LDL), and high density lipoprotein (HDL), among other variables before treatment, in 137 patients with advanced NSCLC who received anlotinib as third or further-line treatment at the Ningbo Medical Center Lihuili Hospital, between July 2018 and December 2020. We determined the best cut off value for predicting treatment responses, generated survival curves using the Kaplan-Meier method, then applied univariate and multivariate Cox regression analyses to assess predictors of survival.

resultsThe entire study population recorded median progression-free survival (PFS) and overall survival (OS) of 4 (95% CI 3.142-4.858) and 8.3 (95% CI 6.843-9.757) months, respectively. Researchers observed statistically significant differences across subgroups, between blood lipid indexes with different efficacies, except in the HDL subgroup. The low disease control rate (DCR) was associated with significantly elevated TG, TC and LDL levels (P = 0.000). Multivariate analysis demonstrated that elevated TC and LDL levels were independently associated with poor PFS or OS (P ≤ 0.003). Then, we established a prediction model, and set high TC or high LDL as the risk factor, respectively. There were significant differences in PFS (p = 0.000) and OS (p = 0.012) between 0 and ≥ 1 scores.

conclusionsPrior to anlotinib therapy, TC and LDL levels, are independent prognostic indicators for patients with advanced NSCLC treated with this drug as a third or further-line treatment option. In addition, a risk score of 0 was attributed to a combination of low TC and low LDL, and these patients were exhibited excellent efficacies and survival rates.

Indexed as

AgedAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCholesterolFemaleHumansIndolesKaplan-Meier EstimateLipidsLipoproteins, HDLLipoproteins, LDLLung NeoplasmsMaleMiddle AgedPrognosisProportional Hazards ModelsanlotinibAntineoplastic AgentsCholesterolIndolesLipidsLipoproteins, HDLLipoproteins, LDLQuinolinesTriglyceridesAnlotinibHigh density lipoprotein (HDL)Low density lipoprotein (LDL)Non-small cell lung cancer (NSCLC)Prediction modelPrognostic factorTotal cholesterol (TC)Triglycerides (TG)

Identifiers

PMID34801029
PMCPMC8606049
OpenAlexW3198543677

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.