Evidence map›Paper›PMID 31205872›Full record

ReviewIranian journal of public health2019

Comparing the Efficacy of Angiotensin Converting Enzyme Inhibitors with Calcium Channel Blockers on the Treatment of Diabetic Nephropathy: A Meta-Analysis.

Zhaowei Zhang, Chunlin Chen, Shiwen Lv, Yalan Zhu, Tianzi Fang

Open access · goldAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2019. 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 47% 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, 1 citations in OpenAlex.

  1. Review
  2. Irisin, an Effective Treatment for Cardiovascular Diseases?Journal of cardiovascular development and disease · 2022
    Review
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 at 1 institution in 1 country.

Zhaowei ZhangDepartment of Pharmacy, Jin Hua Municipal Central Hospital, Jin Hua 32100, China.
Chunlin ChenCollege of Chemistry and Bio-Engineering, Yi Chun University, Yi Chun 336000, China.
Shiwen LvDepartment of Pharmacy, Jin Hua Municipal Central Hospital, Jin Hua 32100, China.
Yalan ZhuDepartment of Pharmacy, Jin Hua Municipal Central Hospital, Jin Hua 32100, China.
Tianzi FangDepartment of Pharmacy, Jin Hua Municipal Central Hospital, Jin Hua 32100, China.
Jinhua Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe angiotensin-converting enzyme inhibitors (ACEIs) could improve the symptoms of diabetic nephropathy. Whether the calcium channel blockers (CCBs) could be as effective as ACEIs on treating diabetic nephropathy is controversial. Here, we aimed to compare the efficacy of ACEIs with CCBs on the treatment of diabetic nephropathy by performing a meta-analysis of randomized controlled trials (RCTs).

methodsThe Pubmed, Medline, Embase and The Cochrane Database were searched up to July 2017 for eligible randomized clinical trials studies. Effect sizes were summarized as mean difference (MD) or standardized mean difference (SMD) with 95% confidence intervals (

resultsSeven RCTs involving 430 participants comparing ACEIs with CCBs were included. No benefit was seen in comparative group of ACEIs on systolic blood pressure (SBP) (MD=1.05 mmHg; 95% CI: -0.97 to 3.08,

conclusionBoth ACEIs and CCBs could improve the BP, UAER, 24h-UP, and GFR of diabetic nephropathy to a similar extent.

Indexed as

Angiotensin converting enzyme inhibitorsCalcium channel blockersDiabetic nephropathyMeta-analysis

Identifiers

PMID31205872
PMCPMC6556194
OpenAlexW2920901856

What OpenQuestion 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 OpenQuestion graph.