Evidence map›Paper›PMID 42639783›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2026

Efficacy of Yishen Jiangzhuo granules in the treatment of chronic kidney disease stages 3-4: a retrospective cohort study.

Ruan Yaqing, Ruan Shiwei, Y E Binhua, Y U Yongxin, Zheng Kailin

Abstract read
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2026. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ruan YaqingPeople's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou350004, China.
Ruan ShiweiPeople's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou350004, China.
Y E BinhuaPeople's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou350004, China.
Y U YongxinPeople's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou350004, China.
Zheng KailinPeople's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou350004, China.

Funding

Fujian Provincial Natural Science Foundation Project 2024J01756Fujian University of Chinese Medicine Institutionally Managed Clinical Special Project XB2024020Self-selected Project of Fujian University of Chinese Medicine Affiliated People's Hospital 2025-26
6 · The paper itself

Abstract

objectiveTo investigate the impact of Yishen Jiangzhuo granules on endpoint events in patients with chronic kidney disease (CKD) stages 3-4.

methodsBased on real-world data, a retrospective analysis was conducted on patients with CKD stages 3-4 who were treated at a single hospital between January 2014 and December 2022. Patients taking Yishen Jiangzhuo granules > 6 months comprised the exposed group; others were non-exposed. The primary outcome was a composite kidney endpoint. Baseline characteristics were collected. Propensity score matching (PSM) balanced covariates. Multivariable Cox regression identified risk/protective factors. Dose-response and threshold effects were assessed using restricted cubic spline (RCS) curves.

resultsAfter PSM, 335 matched cases (87 exposed, 248 non-exposed) showed balanced baselines. Endpoint events differed significantly (38

conclusionYishen Jiangzhuo granules may help stabilize renal function, slow the annual decline rate of eGFR, and reduce the risk of CKD progression in patients with stages 3-4 CKD. The eGFR slope is the most significant predictor of endpoint events, with a critical threshold at -3.6 mL·(1.73 m

Indexed as

Drugs, Chinese HerbalRenal Insufficiency, ChronicAgedFemaleGlomerular Filtration RateHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeDrugs, Chinese Herbalyishenendpoint eventsglomerular filtration ratereal-world studyrenal insufficiency, chronicYishen Jiangzhuo granules

Identifiers

PMID42639783
PMCPMC13494892

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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.