Evidence map›Paper›PMID 26307089›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2016

Several Conventional Risk Markers Suggesting Presence of Albuminuria Are Weak Among Rural Africans With Hypertension.

Jon B Rasmussen, Lovisa S Nordin, Jakúp A Thomsen, Peter Rossing, Ib C Bygbjerg, Dirk L Christensen

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Jon B RasmussenGlobal Health Section, Department of Public Health, University of Copenhagen, Copenhagen.
Lovisa S NordinGlobal Health Section, Department of Public Health, University of Copenhagen, Copenhagen.
Jakúp A ThomsenGlobal Health Section, Department of Public Health, University of Copenhagen, Copenhagen.
Peter RossingSteno Diabetes Center, Gentofte.
Ib C BygbjergGlobal Health Section, Department of Public Health, University of Copenhagen, Copenhagen.
Dirk L ChristensenGlobal Health Section, Department of Public Health, University of Copenhagen, Copenhagen.
University College Copenhagen · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this cross-sectional study was to investigate risk markers indicating the presence of albuminuria in patients with hypertension in rural sub-Saharan Africa (SSA). Urine albumin-creatinine ratio, glycated hemoglobin (HbA1c ), blood pressure, anthropometry, and other patient characteristics including medications were assessed. We identified 160 patients with hypertension, of whom 68 (42.5%) were co-diagnosed with diabetes mellitus (DM). Among the included participants, 57 (35.6%) had albuminuria (microalbuminuria [n=43] and macroalbuminuria [n=14]). A backward multivariate logistic regression model identified age (per 10-year increment) (odds ratio [OR], 1.42; 95% confidence interval [CI], 1.03-1.95), HbA1c >53 compared with <48 mmol/mol (OR, 3.81; 95% CI, 1.74-8.35), and treatment with dihydropyridine calcium channel blockers (OR, 2.59; 95% CI, 1.09-6.16) as the variables significantly associated with albuminuria. Only dysregulated DM and age were the conventional risk markers that seemed to suggest albuminuria among patients with hypertension in rural SSA.

Indexed as

AgedAlbuminuriaBiomarkersBlood PressureCross-Sectional StudiesFemaleGlycated HemoglobinHumansHypertensionMaleMiddle AgedRiskRural PopulationZambiaBiomarkersGlycated Hemoglobin

Identifiers

PMID26307089
PMCPMC8031992
OpenAlexW1890248204

What OpenQuestion holds

Textmetadata
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.