ArticleCancer management and research2021
Heart Rate Variability is an Independent Predictor of Lymph Node Metastasis in Patients with Cervical Cancer.
Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Lived experiences and perspectives of persons with conditions marked by autonomic dysfunction.PloS one · 2026Article
- ECG-derived Poincaré plot graphical metrics for differentiating axillary lymph node metastasis in breast cancer.Frontiers in physiology · 2026Article
- Role of heart rate variability in predicting tracheal extubation failure: a systematic review and meta-analysis.British journal of anaesthesia · 2025Article
- Predicting lymphovascular space invasion in early-stage cervical squamous cell carcinoma using heart rate variability.Frontiers in oncology · 2025Article
- Prediction models for lymph node metastasis in cervical cancer based on preoperative heart rate variability.Frontiers in neuroscience · 2024Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeHeart rate variability (HRV) has been reported as a useful biomarker for prognostic factors in a variety of cancers. The purpose of this study was to explore the predictive value of preoperative HRV for lymph node metastasis (LNM) in patients with cervical cancer (CC). PATIENTS AND
methodsA total of 77 patients with CC were included, including 18 LNM and 59 non-LNM patients. A five-minute resting electrocardiogram (ECG) was collected before surgery for the analysis of HRV time domain, frequency domain and Poincaré plot parameters (ie, SDNN, RMSSD, LF, HF, LF/HF, SD1, SD2 and SD2/SD1). Student's
resultsThe LNM group had significantly lower SDNN, LF, and SD2 than the non-LNM group (all
conclusionThese findings suggest an association between HRV and CC LNM, and HRV could be a potential noninvasive biomarker for the prediction of LNM in CC patients.
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Registered trials
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