Evidence map›Paper›PMID 34404438›Full record

ArticleJournal of ovarian research2021

Clinical significance for combined coagulation indexes in epithelial ovarian cancer prognosis.

Jiani Yang, Yue Jin, Shanshan Cheng, Chao Wang, Nan Zhang, Shan Huang, Yaqian Zhao, Yu Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of ovarian research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. [A Transformer-based model using laboratory indicators efficiently differentiates ovarian cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 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

8 authors at 1 institution in 1 country.

Jiani YangDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yue JinDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Shanshan ChengDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Chao WangDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Nan ZhangDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Shan HuangDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yaqian ZhaoDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yu WangDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China. renjiwangyu@126.com.ORCID http://orcid.org/0000-0002-8683-6196
Renji Hospital · CN

Funding

National Natural Science Foundation of China 81572560National Natural Science Foundation of China 82072866
6 · The paper itself

Abstract

backgroundIncreasing evidence supported an association between cancer and coagulation system. We aimed to identify prognostic values of coagulation biomarkers in epithelial ovarian cancer (EOC).

methodsA retrospective study was conducted on patients who underwent optimal tumor debulking followed by platinum-based chemotherapy at our institution. The predictive value of coagulation variables was evaluated by receiver operating characteristic (ROC) curves. Through Cox hazards regression models, prognostic factors were determined for recurrence-free survival (RFS) and overall survival (OS). Survival curves were visualized by Kaplan-Meier method and compared through Log-rank analysis.

resultsWe involved 482 EOC patients and followed up for 64 (range, 36-87) months. According to ROC curves, D-dimer and International normalized ratio (INR) had superior predictive value than other coagulation indexes, with area under curve (AUC) of 0.758 and 0.742. Patients were then stratified into three combined D-dimer and INR (DD-INR) groups based on the cut-off value of 0.97 mg/L and 0.86, respectively. Through regression analysis, we demonstrated that age (HR 1.273; 95%CI 1.048-2.047; p = 0.045), pathological grade (HR 1.419; 95% CI 1.102-2.491; p = 0.032), clinical stage (HR 2.038; 95%CI 1.284-3.768; p = 0.008), CA-125 (HR 1.426; 95%CI 1.103-1.894; p = 0.038) and DD-INR (HR 2.412; 95%CI 1.683-3.241; p = 0.009) were independent prognostic factors. Survival analysis showed that patients with higher DD-INR experienced poor survival (p = 0.0013 for RFS and p = 0.0068 for OS). Further subgroup analysis revealed that evaluated DD-INR was significantly associated with poor survival among patients with advanced stage (p = 0.0028 for RFS and p = 0.0180 for OS).

conclusionOur findings suggested that coagulation indexes, especially the combined DD-INR were promising biomarkers for prognosis stratification in EOC patients, especially those with advanced clinical stages.

Indexed as

Blood Coagulation FactorsCarcinoma, Ovarian EpithelialFemaleHumansMiddle AgedPrognosisRetrospective StudiesBlood Coagulation FactorsCoagulation systemEpithelial ovarian cancerPrognostic valueRisk stratification

Identifiers

PMID34404438
PMCPMC8369735
OpenAlexW3194227829

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.