Evidence map›Paper›PMID 32871996›Full record

ArticleMedicine2020

Adjuvant chemotherapy-associated lipid changes in breast cancer patients: A real-word retrospective analysis.

Tao He, Chengshi Wang, Qiuwen Tan, Zhu Wang, Jiayuan Li, Tao Chen, Kaijun Cui, Yunhao Wu, Jiani Sun, Danxi Zheng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.1field-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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  4. Multidimensional nomogram for prediction of cardiovascular disease risk in cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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 at 2 institutions in 1 country.

Tao HeDepartment of Breast Surgery, West China School of Medicine/West China Hospital, Sichuan University.
Chengshi WangClinical Research Center for Breast Diseases, Laboratory of Molecular Diagnosis of Cancer, and Department of Medical Oncology, West China Hospital, Sichuan University.
Qiuwen TanDepartment of Breast Surgery, West China Hospital, Sichuan University.
Zhu WangLaboratory of Molecular Diagnosis of Cancer, West China Hospital, Sichuan University.
Jiayuan LiWest China School of Public Health and West China Fourth Hospital, Sichuan University.
Tao ChenDepartment of Endocrinology and Metabolism, Adrenal Center, West China Hospital of Sichuan University.
Kaijun CuiDepartment of Cardiology, West China Hospital of Sichuan University.
Yunhao WuWest China School of Medicine/West China Hospital, Sichuan University, China.
Jiani SunWest China School of Medicine/West China Hospital, Sichuan University, China.
Danxi ZhengWest China School of Medicine/West China Hospital, Sichuan University, China.
Qing LvDepartment of Breast Surgery, West China Hospital, Sichuan University.
Jie ChenDepartment of Breast Surgery, West China Hospital, Sichuan University.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adjuvant chemotherapy may cause alterations in serum lipids in postoperative breast cancer (BC) patients, but the specific alterations caused by different chemotherapy regimens remain unclear. The aim of this study was to investigate the status of serum lipids pre- and post-chemotherapy and to compare the side effects of different chemotherapy regimens on serum lipid.We retrospectively analysed the lipid profiles of 1934 consecutive postoperative BC patients who received one of the following chemotherapy regimens:The levels of triglycerides (TG), total cholesterols (TC), and low-density lipoprotein (LDL-C) were significantly elevated in patients who received chemotherapy regimens above (P < .001). With respect to different chemotherapy regimens, FEC had less side effects on lipid profiles (TG (P = .006), high-density lipoprotein (HDL-C) (P < .001), and LDL-C (P < .001)) than TC regimen and AC-T and EC-T regimen. Also, the incidence of newly diagnosed dyslipidemia after chemotherapy was lower in FEC group than TC group and AC-T and EC-T group (P < .001). Additionally, the magnitude of the alterations in lipid profiles (TG, TC, HDL-C, and LDL-C) was greater in premenopausal patients than that of the postmenopausal patients (P = .004; P < .001; P = .002; P = .003, respectively). Moreover, after adjusting for multiple baseline covariates, anthracycline-plus-taxane-based regimens (AC-T and EC-T) were still statistically associated with a high level of TG (P = .004) and a low level of HDL-C (P = .033) after chemotherapy compared with FEC regimen. Also, body mass index (BMI) > 24 was associated with abnormal lipid profiles (TG, TC, HDL-C, LDL-C) post-chemotherapy compared with BMI ≤ 24 (P < .001; P = .036; P = .012; P = .048, respectively).BC patients receiving chemotherapy may have elevated lipid profiles, and anthracycline-based regimen had less side effects on lipid profiles compared with regimens containing taxane. Therefore, it is necessary to take lipid metabolism into consideration when making chemotherapy decisions and dyslipidemia prevention and corresponding interventions are indispensable during the whole chemotherapy period.

Indexed as

Chemotherapy, AdjuvantAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsFemaleHumansLipidsMiddle AgedRetrospective StudiesRisk FactorsLipids

Identifiers

PMID32871996
PMCPMC7437760
OpenAlexW3049522696

What OpenQuestion holds

Textmetadata
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.