ArticleChinese journal of integrative medicine2018
Diagnostic Indicators for Blood Stasis Syndrome Patients with Gynaecological Diseases.
Article in Chinese journal of integrative medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- A Direct Relationship Between 'Blood Stasis' and Fibrinaloid Microclots in Chronic, Inflammatory, and Vascular Diseases, and Some Traditional Natural Products Approaches to Treatment.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Liangfang Wenjing decoction regulates endoplasmic reticulum stress-mediated apoptosis to alleviate uterine microvascular injury in cold-stressed rats.Frontiers in pharmacology · 2025Article
- Effect of Low-Power Visible-Light-Activated Photodynamic Therapy (PDT) on Primary Dysmenorrhea: A Multicenter, Randomized, Double-Blind, Placebo-Controlled Trial.International journal of women's health · 2022Article
- Pathological Observation of Blood Stasis Syndrome in Non-diabetic Peripheral Neuropathies: A Retrospective Analysis Based on Nerve Biopsy.Chinese journal of integrative medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the important diagnostic indicators for blood stasis syndrome (BSS) in patients of childbearing age with gynaecological diseases.
methodsA partial least squared-discriminant analysis (PLS-DA) were applied to BSS symptoms data of patients with gynaecological diseases, and the diagnostic indicators used by doctors of Korean medicine (DKMs) among BSS patients with gynaecological diseases were also investigated.
resultsA total of 103 patients of childbearing age with gynaecological diseases and 40 healthy controls were enrolled. Among the 103 patients, 63 (61.7%) and 40 (38.8%) were diagnosed with BSS and non-BSS, respectively, and BSS patients exhibited a more severe extent of disease. A score plot of PLS-DA showed clearly different patterns among the 3 groups. Based on the variable importance on projection of PLS-DA model, menstrual pains, dark lumps in the menstrual blood, ileocoecal tenderness and resistance, sharp pains, and sublingual varicosities were selected as the top five most important indicators. Moreover, more than 75% of DKMs chose dark lumps in menstrual blood, menstrual pain, and dark menstrual blood as the diagnostic indicators of BSS in patients with gynaecological diseases, and more than 49% of them also considered sharp pains, dark red tongue, sublingual varicosities, and tendency to bruise easily as diagnostic indicators of BSS.
conclusionDKMs focused on menstrual symptoms and certain gynaecological symptoms to diagnose BSS patients of childbearing age with female diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.