Evidence map›Paper›PMID 33456489›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Probe into the Target and Mechanism of Jianpi Xiaoke Prescription for Treating Type 2 Diabetes Mellitus through miRNA Expression Profiling.

Qiuyue Guo, Yunsheng Xu, Jie Li, Dan Luo, Jun Li, Cankun Xu, Yanqin Huang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 1 institution in 1 country.

Qiuyue GuoCollege of Traditional Chinese Medicine, Jingshi Rd. Campus, Shandong University of Traditional Chinese Medicine, Jinan 250014, China.ORCID https://orcid.org/0000-0002-9028-6764
Yunsheng XuDepartment of Endocrinology, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250001, China.
Jie LiFirst Clinical Medical College of Shandong University of Traditional Chinese Medicine, Jinan 250014, China.
Dan LuoDepartment of Endocrinology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China.
Jun LiDepartment of Pharmacy, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China.
Cankun XuDepartment of Endocrinology, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250001, China.
Yanqin HuangDepartment of Endocrinology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China.ORCID https://orcid.org/0000-0003-0937-647X
Shandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsTen of the 31 SPF male Wistar rats were randomly taken as the control group; the remaining rats were fed a high-sugar and high-fat diet, combined with Streptozotocin (STZ, 35 mg/kg) that induced a type 2 diabetes model. The model rats were randomly divided into model groups (

resultsAfter treatment, FPG, FINS, and HOMA-IR levels of the treatment group improved significantly compared with those of the control group (

conclusionThis discovery interpreted the potential therapeutic targets and signaling pathways of JPXK prescription against T2DM based on miRNA expression profiling. In conclusion, our research provided novel research insights into traditional Chinese medicine (TCM) treatment of diabetes.

Identifiers

PMID33456489
PMCPMC7785360
OpenAlexW3111145656

What OpenQuestion holds

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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.