Evidence map›Paper›PMID 31681676›Full record

ArticleJournal of family medicine and primary care2019

Association of brachial and central hemodynamic parameters to eGFR and proteinuria in Gujarati diabetics with mild-to-moderate nephropathy.

Jayesh D Solanki, Rajkumar B Patel, Ila N Hadiyel, Hemant B Mehta, Hirava B Munshi, Param J Kakadiya

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 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
0.3field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jayesh D SolankiDepartment of Physiology, Government Medical College, Bhavnagar, Gujarat, India.
Rajkumar B PatelDepartment of Physiology, Government Medical College, Bhavnagar, Gujarat, India.
Ila N HadiyelDepartment of Medicine, Government Medical College, Bhavnagar, Gujarat, India.
Hemant B MehtaDepartment of Physiology, Government Medical College, Bhavnagar, Gujarat, India.
Hirava B MunshiDepartment of Medicine, Government Medical College, Bhavnagar, Gujarat, India.
Param J KakadiyaDepartment of Physiology, Government Medical College, Bhavnagar, Gujarat, India.
Government Medical College Bhavnagar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes mellitus (DM) is a significant risk factor for nephropathy and cardiovascular morbidity. Pulse wave analysis (PWA) gives direct inference of brachial hemodynamics (BH) and central hemodynamics (CH). We studied relation of them with diabetic nephropathy (DN) among type-2 diabetics (T2D).

methodsWe studied oscillometric PWA by a cross-sectional study in 160 T2Ds. Using Mobil-o-Graph (IEM, Germany), we derived BH (blood pressure, pulse pressure index, rate pressure product) and CH (aortic pressure, cardiac index, stroke volume index, stroke work). They were further compared and associated with DN in terms of creatinine, proteinuria, and estimated glomerular filtration rate (eGFR).

resultsThere were 89 males, mean age 56 years, mean duration 4.8 years, 80% hypertensive predominantly using ACE inhibitors, poor glycemic blood pressure (BP) control, mainly mild-to-moderate DN, mean eGFR 88.2, 34% prevalence of proteinuria. Arterial stiffness was high with female disadvantage. BH and CH parameters were not different with or without DN using proteinuria or eGFR (60 cutoff) criteria. BH, CH correlated insignificantly with creatinine and eGFR. Female disadvantage, correlation with bSBP and aSBP were only significant results.

conclusionsBH and CH are not related to eGFR and proteinuria in predominantly hypertensive, Gujarati diabetics with mild-to-moderate nephropathy suggesting need of other cardiovascular parameters.

Indexed as

Blood pressurediabetesestimated GFRhemodynamicproteinuria

Identifiers

PMID31681676
PMCPMC6820418
OpenAlexW2978645802

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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.