Evidence map›Paper›PMID 32636745›Full record

SynthesisFrontiers in pharmacology2020

Danhong Injection for the Treatment of Hypertensive Nephropathy: A Systematic Review and Meta-Analysis.

YiZhuo Li, Shihai Yan, Lichao Qian, Lihua Wu, Yawei Zheng, Zhuyuan Fang

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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

6 authors at 1 institution in 1 country.

YiZhuo LiAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Shihai YanAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Lichao QianAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Lihua WuAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yawei ZhengAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Zhuyuan FangInstitute of Hypertension, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Nanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDanhong Injection (DHI) has been widely used to treat various diseases in China for many years. The objective of this systematic review was to evaluate the efficacy of DHI combined with antihypertensive drugs for treatment of hypertensive nephropathy.

methodsSeven databases were searched from inception to September 21st, 2019. Randomized controlled trials comparing DHI combined with antihypertensive drugs

resultsFifteen studies were included in the meta-analysis, which indicated that DHI combined with antihypertensive drugs has advantages compared with antihypertensive drugs alone for reducing mALB [weighted mean difference (WMD) = -12.86, 95% confidence interval (CI) (-14.72, -11.0),

conclusionThe combination of DHI with antihypertensive drugs appears to be more effective than antihypertensive drugs alone for treatment of hypertensive nephropathy. A moderate duration (≤4 weeks) of DHI administration is reasonable, and longer treatment with DHI should be avoided, according to the results of subgroup analysis.

Indexed as

Danhong injectionhypertensive nephropathymeta-analysissystematic reviewtraditional Chinese medicine

Identifiers

PMID32636745
PMCPMC7316888
OpenAlexW3036961599

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.