Evidence map›Paper›PMID 37147762›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2023

Noninvasive identificational diagnosis of diabetic nephropathy and non-diabetic renal disease based on clinical characteristics of Traditional Chinese Medicine symptom pattern and conventional medicine.

Q U Yilun, Cheng Haimei, Wang Qian, L I Shuang, Duan Shuwei, Feng Zhe, L I Weizhen, Jiang Shuangshuang, Yang Hongtao, Mao Yonghui and 7 more

Abstract read
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Q U YilunDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
Cheng HaimeiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
Wang QianDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
L I ShuangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
Duan ShuweiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
Feng ZheDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
L I WeizhenDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
Jiang ShuangshuangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
Yang HongtaoDepartment of Nephrology, The First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China.
Mao YonghuiDepartment of Nephrology, Beijing Hospital, Beijing 100730, China.
Geng YanqiuDepartment of Nephrology, the Third Medical Center of PLA General Hospital, Beijing 100039, China.
L I JijunDepartment of Nephrology, the Forth Medical Center of PLA General Hospital, Beijing 100048, China.
Liu YuningDepartment of Nephrology, Dongzhimen Hospital of Beijing University of Traditional Chinese Medicine, Beijing 100700, China.
Tian JinzhouThree Departments of Encephalopathy, Dongzhimen Hospital of Beijing University of Traditional Chinese Medicine, Beijing 100700, China.
Liu HongfangDepartment of Endocrinology, Dongzhimen Hospital of Beijing University of Traditional Chinese Medicine, Beijing 100700, China.
Dong ZheyiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.
Chen XiangmeiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the clinical characteristics relating to differential diagnosis of diabetic nephropathy (DN) and non-diabetic renal disease (NDRD).

methodsThe subjects were patients with type 2 diabetes mellitus (T2DM) complicated with chronic kidney disease (CKD). Western medical history data and Traditional Chinese Medicine (TCM) symptom pattern were collected, and logistic regression was used to analyze.

resultsBlood deficiency pattern [odds ratio () = 2.269, 0.017] and stagnation pattern ( = 1.999, 0.041) are independently related to DN.

conclusionsTCM factors blood deficiency pattern and stagnation pattern are relating to differential diagnosis of DN and NDRD.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesRenal Insufficiency, ChronicHumansKidneyMedicine, Chinese Traditionaldiabetes mellitus, type 2diabetic nephropathiesnon-diabetic renal diseaserenal insufficiency, chronicsyndrome complex

Identifiers

PMID37147762
PMCPMC10133947

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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.