Evidence map›Paper›PMID 34544437›Full record

Observational studyLipids in health and disease2021

Predictive value of a reduction in the level of high-density lipoprotein-cholesterol in patients with non-small-cell lung cancer undergoing radical resection and adjuvant chemotherapy: a retrospective observational study.

Fan Luo, Kang-Mei Zeng, Jia-Xin Cao, Ting Zhou, Su-Xia Lin, Wen-Juan Ma, Yun-Peng Yang, Zhong-Han Zhang, Fei-Teng Lu, Yan Huang and 2 more

Abstract readObservational Study
In one paragraph

Observational study 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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

12 authors.

Fan Luo *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Kang-Mei Zeng *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China. cengkm@sysucc.org.cn.
Jia-Xin Cao *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Ting Zhou *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Su-Xia LinState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Pathology, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Wen-Juan MaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Yun-Peng YangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Zhong-Han ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Fei-Teng LuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Yan HuangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China.
Hong-Yun ZhaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Clinical Research, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China. zhaohy@sysucc.org.cn.
Li ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Guangdong Esophageal Cancer Institute, Sun Yat- sen University Cancer Center, 510060, Guangzhou, People's Republic of China. zhangli6@mail.sysu.edu.cn.

Funding

Guangdong Medical Research Foundation C2018062Guangdong Science and Technology Department 2017B020227001National Natural Science Foundation of China 81872201National Natural Science Foundation of China 81872499National Natural Science Foundation of China 82002628National Natural Science Foundation of China 82073396Natural Science Foundation of Guangdong Province 2018A0303130243Natural Science Foundation of Guangdong Province 2020A1515011464Postdoctoral Research Foundation of China 2019M660227Sun Yat-sen University 2016001
6 · The paper itself

Abstract

backgroundCancer patients often exhibit chemotherapy-associated changes in serum lipid profiles, however, their prognostic value before and after adjuvant chemotherapy on survival among non-small-cell lung cancer (NSCLC) patients is unknown.

methodsNSCLC patients undergoing radical resection and subsequent adjuvant chemotherapy from 2013 to 2017 at Sun Yat-sen University Cancer Center were retrospectively reviewed. Fasted serum lipid levels were measured before and after chemotherapy. The optimal lipid cut-off values at baseline and fluctuation were determined using X-tile™. The fluctuations in serum lipid levels and disease-free survival (DFS) were assessed.

resultsSerum cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), triglyceride, apolipoprotein (Apo) A-I, and ApoB all significantly increased after adjuvant chemotherapy. X-tile determined 1.52 mmol/L of HDL-C and 0.74 g/L of ApoB as the optimal cut-off values before chemotherapy. Patients with HDL-C ≥ 1.52 mmol/L (median DFS: not reached vs. 26.30 months, P = 0.0005) and a decreased HDL-C level after adjuvant chemotherapy (median DFS: 80.43 vs. 26.12 months, P = 0.0204) had a longer DFS. An HDL-C level that increased by ≥ 0.32 mmol/L after chemotherapy indicated a worse DFS. A high baseline ApoB level were associated with a superior DFS. In the univariate analysis and the multivariate Cox analyses, a high baseline HDL-C level and a HDL-C reduction after adjuvant chemotherapy were independent indicators for superior DFS. High baseline HDL-C was related to N0-1 stage (χ

conclusionsAdjuvant chemotherapy increased various lipid levels in resected NSCLC patients. A higher HDL-C level before chemotherapy and a reduced HDL-C level after adjuvant chemotherapy were independent predictors of longer DFS in patients with curable NSCLC.

Indexed as

AdultAgedApolipoprotein A-IApolipoprotein B-100Carcinoma, Non-Small-Cell LungChemotherapy, AdjuvantCholesterol, HDLCholesterol, LDLDisease-Free SurvivalFastingFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingAPOA1 protein, humanAPOB protein, humanApolipoprotein A-IApolipoprotein B-100Cholesterol, HDLCholesterol, LDLTriglyceridesAdjuvant chemotherapyDisease-free survivalHigh-density lipoprotein-cholesterolNon-small-cell lung cancerPrognosis

Identifiers

PMID34544437
PMCPMC8454045

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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.