Evidence map›Paper›PMID 36923089›Full record

ArticleAnnals of translational medicine2023

The regularity of nourishing-yin prescription for treating ascites due to hepatitis B cirrhosis based on data mining technology.

Luyan Sun, Anzhao Wu, Xiaoli Wang, Bo Yang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

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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, 4 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Luyan SunShandong University of Traditional Chinese Medicine, Jinan, China.
Anzhao WuDepartment of Integrated Traditional Chinese and Western Medicine, Shandong Public Health Clinical Center, Jinan, China.
Xiaoli WangDepartment of Traditional Chinese Medicine, Jinan Nursing Vocational College, Jinan, China.
Bo YangDepartment of Integrated Traditional Chinese and Western Medicine, Shandong Public Health Clinical Center, Jinan, China.
Shanghai Public Health Clinical Center · CNJinan Maternity And Care Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinically, Chinese medicine is mostly used to treat ascites due to hepatitis B cirrhosis by nourishing-yin. We summarize the pattern of prescriptions for nourishing-yin inascites due to hepatitis B cirrhosis based on data mining to better use traditional Chinese medicine (TCM) to treat cirrhotic ascites in hepatitis B. Methods: Articles published from 2000 to 2020 on ascites due to hepatitis B cirrhosis were searched in the Chinese National Knowledge Infrastructure and Chinese Science and Technology Journal Database. The results of the search were screened and then treated as the data sources in turn. Based on the data sources, a prescription database of ascites due to hepatitis B cirrhosis was constructed. The data mining was conducted by statistical analysis of frequency and association. Core herbs, including the property and flavor, channel tropism, regularities of medicinal recipes, and core sets, among others, were examined. Results: Through combing 199 articles, a total of 201 prescriptions were selected, involving 138 kinds of herbs. The efficacy of cold herbs was slightly higher than that of warm herbs. The main flavors of herbs were sweet, bitter, and pungent. There were 30 herbs used ≥26 times in 201 prescriptions. The highest frequency of use was Conclusions: Through data mining, it was found that when TCM treats ascites due to hepatitis B cirrhosis, it attaches importance to using methods of tonifying deficiency and invigorating spleen for diuresis based on nourishing-yin to improve the clinical efficacy, which can provide reference for TCM's clinical use of nourishing-yin to treat ascites due to hepatitis B cirrhosis.

Indexed as

ascitescluster analysisdeficiency of yinHepatitis B cirrhosisnourishing-yin recipe

Identifiers

PMID36923089
PMCPMC10009578
OpenAlexW4321487924

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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.