Evidence map›Paper›PMID 27375700›Full record

ArticlePakistan journal of medical sciences

To compare anti-albumin urea effects of valsartan alone with combination of valsartan and amlodipine in patients of chronic kidney disease.

Ameen, Muhammad Ali Kashif, Sumreen

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

3 authors at 1 institution in 1 country.

AmeenDr. Ameen, FCPS. Department of Medicine, Combine Military Hospital (CMH), Bahawalpur, Pakistan.
Muhammad Ali KashifDr. Muhammad Ali Kashif, FCPS. Department of Medicine, Combine Military Hospital (CMH), Bahawalpur, Pakistan.
SumreenDr. Sumreen, M.Phil. Department of Pathology, SMBBMC, Department of Medicine, Combine Military Hospital (CMH), Bahawalpur, Pakistan.
Combined Military Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare anti-albumin urea effects of Valsartan alone with combination of Valsartan and Amlodipine in patients of chronic kidney disease.

methodsThis randomized clinical trial was conducted at the Department of Medicine, Combined Military Hospital Bahawalpur, from April 2014 to 30 September 2014. 140 patients of chronic kidney disease with baseline blood pressure more than 140/90mm Hg having raised urinary albumin: creatinine ratio (UACR). UACR more than 3.5 mg/mmol was considered abnormal. Group-A was treated with Valsartan 80mg daily and Group-B was treated with valsartan 80 and amlodipine 10mg once a day. We did not change the dose of drugs and check spot UACR at base line and after six months with therapy and compare improvement in UACR between Group-A and B. Data was analyzed by statistical software packages (SPSS 16.0).

resultsIn both the groups, BP was significantly lower than the respective value. Mean decrease in spot UACR in Group-A was 3.18±2.64 mg/mmol and UACR in Group-B mean decrease in UACR was 13.01±20.11 mg/mmol. P value was< 0.05.

conclusionThe combination therapy of valsartan with amlodipine significantly lowers the albuminuria in chronic Kidney disease and reduce the progression of disease as compared to Valsartan alone therapy.

Indexed as

AlbuminuriaAmlodipineSpot urinary albumin: creatinineValsartan

Identifiers

PMID27375700
PMCPMC4928409
OpenAlexW2428722612

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.