Evidence map›Paper›PMID 36860321›Full record

ArticleFrontiers in oncology2023

Associations of novel serum lipid index with epithelial ovarian cancer chemoresistance and prognosis.

Yuan Li, Chunliang Shang, Huamao Liang, Kun Zhang, Yu Wu, Hongyan Guo

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

6 authors.

Yuan LiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Chunliang ShangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Huamao LiangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Kun ZhangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Yu WuDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Hongyan GuoDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the relationship between novel serum lipid index and chemoresistance as well as prognosis of epithelial ovarian cancer (EOC). Patients and methods: Patients' serum lipid profiles of 249 cases diagnosed with epithelial ovarian cancer, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) as well as their ratios, the novel indicators HDL-C/TC and HDL-C/LDL-C, and clinicopathologic characteristics were retrospectively collected and calculated from January 2016 to January 2020 and correlation between serum lipid index and clinicopathological features such as chemoresistance as well as prognosis were evaluated. Results: 249 patients pathologically diagnosed EOC who underwent cytoreductive surgery were included in our cohort. The mean age of these patients was 55.20 ± 11.07 years. Binary logistic regression analyses indicated Federation International of Gynecology and Obstetrics (FIGO(stage and HDL-C/TC ratio had significant association with chemoresistance. Univariate analyses demonstrated pathological type, chemoresistance, FIGO stage, neoadjuvant chemotherapy, maintenance treatment, HDL-C/LDL-C ratio, HDL-C/TC ratio were related to Progression-Free Survival (PFS) and Overall Survival (OS) (P<0. 05). Particularly, multivariate analyses indicated that HDL-C/LDL-C ratio was independent protective factors for both PFS and OS. Conclusion: The complex serum lipid index HDL-C/TC ratio has a significant correlation with chemoresistance. HDL-C/LDL-C ratio is closely related to the clinicopathological characteristics and prognosis of patients with EOC and is an independent protective factor indicating better outcome.

Indexed as

chemoresistanceepithelial ovarian cancernovel serum lipid indexprognosisserum lipids

Identifiers

PMID36860321
PMCPMC9968862

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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.